resources.json

[
  {
    "id": "ase-site",
    "name": "Agent Skill Exchange",
    "type": "ASE",
    "framework": "Multi-Framework",
    "url": "https://agentskillexchange.com/",
    "repo": "https://github.com/agentskillexchange/skills",
    "description": "Live marketplace for source-backed agent skills.",
    "why_it_matters": "Provides the human-facing discovery layer for the canonical ASE skills catalog.",
    "tags": [
      "catalog",
      "marketplace",
      "skills"
    ]
  },
  {
    "id": "ase-skills-repo",
    "name": "AgentSkillExchange Skills",
    "type": "ASE",
    "framework": "Multi-Framework",
    "url": "https://github.com/agentskillexchange/skills",
    "repo": "https://github.com/agentskillexchange/skills",
    "description": "Canonical public catalog of ASE skill files and generated indexes.",
    "why_it_matters": "This companion repo should point readers to the canonical skill source of truth.",
    "tags": [
      "catalog",
      "repo",
      "skills"
    ]
  },
  {
    "id": "ase-verification",
    "name": "ASE Verification",
    "type": "ASE",
    "framework": "Multi-Framework",
    "url": "https://github.com/agentskillexchange/skills/tree/main/verification",
    "repo": "https://github.com/agentskillexchange/skills",
    "description": "Verification criteria, patterns, and security resources for ASE skills.",
    "why_it_matters": "Shows how ASE separates listed skills from security-reviewed skills.",
    "tags": [
      "verification",
      "security",
      "quality"
    ]
  },
  {
    "id": "openai-codex-repo",
    "name": "OpenAI Codex",
    "type": "Official",
    "framework": "Codex",
    "url": "https://github.com/openai/codex",
    "repo": "https://github.com/openai/codex",
    "description": "OpenAI's public Codex CLI repository.",
    "why_it_matters": "Codex is a core coding-agent workflow surface for skill-driven repo work.",
    "tags": [
      "codex",
      "coding-agent",
      "cli"
    ]
  },
  {
    "id": "openai-codex-docs",
    "name": "OpenAI Codex Docs",
    "type": "Lab",
    "framework": "Codex",
    "url": "https://developers.openai.com/codex",
    "repo": "",
    "description": "OpenAI Codex documentation.",
    "why_it_matters": "Provides lab-owned guidance for Codex workflows and setup.",
    "tags": [
      "codex",
      "openai",
      "lab"
    ]
  },
  {
    "id": "claude-code-docs",
    "name": "Claude Code Docs",
    "type": "Official",
    "framework": "Claude Code",
    "url": "https://code.claude.com/docs",
    "repo": "",
    "description": "Anthropic's Claude Code documentation hub.",
    "why_it_matters": "Primary source for Claude Code workflow and usage guidance.",
    "tags": [
      "claude-code",
      "anthropic",
      "docs"
    ]
  },
  {
    "id": "claude-code-headless",
    "name": "Claude Code Headless",
    "type": "Official",
    "framework": "Claude Code",
    "url": "https://code.claude.com/docs/en/headless",
    "repo": "",
    "description": "Documentation for programmatic Claude Code usage.",
    "why_it_matters": "Important for automation-oriented skills and CI workflows.",
    "tags": [
      "claude-code",
      "automation",
      "headless"
    ]
  },
  {
    "id": "openclaw-docs",
    "name": "OpenClaw Docs",
    "type": "Official",
    "framework": "OpenClaw",
    "url": "https://docs.openclaw.ai/",
    "repo": "https://github.com/openclaw/openclaw",
    "description": "OpenClaw documentation hub.",
    "why_it_matters": "Explains OpenClaw providers, skills, tools, crons, and runtime setup.",
    "tags": [
      "openclaw",
      "runtime",
      "docs"
    ]
  },
  {
    "id": "openclaw-repo",
    "name": "OpenClaw Repository",
    "type": "Official",
    "framework": "OpenClaw",
    "url": "https://github.com/openclaw/openclaw",
    "repo": "https://github.com/openclaw/openclaw",
    "description": "Public OpenClaw repository.",
    "why_it_matters": "Source-backed reference for OpenClaw runtime and contribution details.",
    "tags": [
      "openclaw",
      "repo",
      "runtime"
    ]
  },
  {
    "id": "hermes-agent-repo",
    "name": "Hermes Agent",
    "type": "Official",
    "framework": "Hermes",
    "url": "https://github.com/NousResearch/hermes-agent",
    "repo": "https://github.com/NousResearch/hermes-agent",
    "description": "Official Hermes Agent repository from Nous Research.",
    "why_it_matters": "Shows a skills-oriented self-improving agent architecture.",
    "tags": [
      "hermes",
      "skills",
      "agent"
    ]
  },
  {
    "id": "hermes-skills-docs",
    "name": "Hermes Skills Feature Docs",
    "type": "Official",
    "framework": "Hermes",
    "url": "https://github.com/NousResearch/hermes-agent/blob/main/website/docs/user-guide/features/skills.md",
    "repo": "https://github.com/NousResearch/hermes-agent",
    "description": "Hermes Agent documentation for skills.",
    "why_it_matters": "Defines how Hermes exposes and manages skills.",
    "tags": [
      "hermes",
      "skills",
      "docs"
    ]
  },
  {
    "id": "cursor-skills-docs",
    "name": "Cursor Agent Skills",
    "type": "Official",
    "framework": "Cursor",
    "url": "https://cursor.com/docs/context/skills",
    "repo": "",
    "description": "Cursor documentation for agent skills.",
    "why_it_matters": "Primary source for Cursor's skill model.",
    "tags": [
      "cursor",
      "skills",
      "ide"
    ]
  },
  {
    "id": "cursor-tools-docs",
    "name": "Cursor Agent Tools",
    "type": "Official",
    "framework": "Cursor",
    "url": "https://docs.cursor.com/en/agent/tools",
    "repo": "",
    "description": "Cursor documentation for tools available to Agent modes.",
    "why_it_matters": "Helps distinguish skills from callable editor tools.",
    "tags": [
      "cursor",
      "tools",
      "agent"
    ]
  },
  {
    "id": "gemini-cli-repo",
    "name": "Gemini CLI",
    "type": "Official",
    "framework": "Gemini",
    "url": "https://github.com/google-gemini/gemini-cli",
    "repo": "https://github.com/google-gemini/gemini-cli",
    "description": "Google's open-source Gemini CLI repository.",
    "why_it_matters": "Represents Gemini-powered terminal-agent workflows.",
    "tags": [
      "gemini",
      "cli",
      "terminal-agent"
    ]
  },
  {
    "id": "gemini-api-docs",
    "name": "Gemini API Docs",
    "type": "Official",
    "framework": "Gemini",
    "url": "https://ai.google.dev/gemini-api/docs",
    "repo": "",
    "description": "Google Gemini API documentation.",
    "why_it_matters": "Provider-level setup reference for Gemini-backed agent workflows.",
    "tags": [
      "gemini",
      "api",
      "google"
    ]
  },
  {
    "id": "langgraph-repo",
    "name": "LangGraph",
    "type": "Official",
    "framework": "LangChain/LangGraph",
    "url": "https://github.com/langchain-ai/langgraph",
    "repo": "https://github.com/langchain-ai/langgraph",
    "description": "LangGraph repository for building resilient agents.",
    "why_it_matters": "Source-backed reference for graph-based agent orchestration.",
    "tags": [
      "langgraph",
      "langchain",
      "agents"
    ]
  },
  {
    "id": "langchain-agents",
    "name": "LangChain Agents",
    "type": "Official",
    "framework": "LangChain/LangGraph",
    "url": "https://www.langchain.com/agents",
    "repo": "",
    "description": "LangChain overview of agents and LangGraph.",
    "why_it_matters": "Explains LangGraph's role in agent orchestration.",
    "tags": [
      "langchain",
      "langgraph",
      "agents"
    ]
  },
  {
    "id": "mcp-docs",
    "name": "Model Context Protocol Docs",
    "type": "Official",
    "framework": "MCP",
    "url": "https://modelcontextprotocol.io/",
    "repo": "https://github.com/modelcontextprotocol/modelcontextprotocol",
    "description": "Official MCP documentation site.",
    "why_it_matters": "Primary source for tool/context protocol concepts.",
    "tags": [
      "mcp",
      "protocol",
      "tools"
    ]
  },
  {
    "id": "mcp-spec-repo",
    "name": "Model Context Protocol Repository",
    "type": "Official",
    "framework": "MCP",
    "url": "https://github.com/modelcontextprotocol/modelcontextprotocol",
    "repo": "https://github.com/modelcontextprotocol/modelcontextprotocol",
    "description": "Specification and documentation repository for MCP.",
    "why_it_matters": "Source-backed reference for MCP specification and docs.",
    "tags": [
      "mcp",
      "spec",
      "docs"
    ]
  },
  {
    "id": "openai-agents-sdk-docs",
    "name": "OpenAI Agents SDK Docs",
    "type": "Official",
    "framework": "OpenAI Agents",
    "url": "https://openai.github.io/openai-agents-python/",
    "repo": "https://github.com/openai/openai-agents-python",
    "description": "Documentation for the OpenAI Agents SDK.",
    "why_it_matters": "Shows source-backed patterns for tools, handoffs, guardrails, tracing, and agent execution.",
    "tags": [
      "openai",
      "agents-sdk",
      "tools"
    ]
  },
  {
    "id": "openai-agents-sdk-repo",
    "name": "OpenAI Agents SDK Repository",
    "type": "Official",
    "framework": "OpenAI Agents",
    "url": "https://github.com/openai/openai-agents-python",
    "repo": "https://github.com/openai/openai-agents-python",
    "description": "OpenAI's Python Agents SDK repository.",
    "why_it_matters": "Provides source code and examples for OpenAI agent workflows.",
    "tags": [
      "openai",
      "agents-sdk",
      "repo"
    ]
  },
  {
    "id": "openai-tools-docs",
    "name": "OpenAI Tools Guide",
    "type": "Official",
    "framework": "OpenAI Agents",
    "url": "https://platform.openai.com/docs/guides/tools",
    "repo": "",
    "description": "OpenAI documentation for model tool use.",
    "why_it_matters": "Helps distinguish model tools from higher-level skills and workflows.",
    "tags": [
      "openai",
      "tools",
      "docs"
    ]
  },
  {
    "id": "anthropic-claude-code-mcp",
    "name": "Claude Code MCP Docs",
    "type": "Official",
    "framework": "Claude Code",
    "url": "https://docs.anthropic.com/en/docs/claude-code/mcp",
    "repo": "",
    "description": "Anthropic documentation for using MCP with Claude Code.",
    "why_it_matters": "Shows how Claude Code connects to tools and context through MCP.",
    "tags": [
      "anthropic",
      "claude-code",
      "mcp"
    ]
  },
  {
    "id": "anthropic-claude-code-subagents",
    "name": "Claude Code Subagents",
    "type": "Official",
    "framework": "Claude Code",
    "url": "https://docs.anthropic.com/en/docs/claude-code/sub-agents",
    "repo": "",
    "description": "Anthropic documentation for Claude Code subagents.",
    "why_it_matters": "Subagents are a useful comparison point for skill routing and workflow specialization.",
    "tags": [
      "anthropic",
      "claude-code",
      "subagents"
    ]
  },
  {
    "id": "anthropic-mcp-docs",
    "name": "Anthropic MCP Docs",
    "type": "Official",
    "framework": "MCP",
    "url": "https://docs.anthropic.com/en/docs/agents-and-tools/mcp",
    "repo": "",
    "description": "Anthropic documentation for MCP in agent and tool workflows.",
    "why_it_matters": "Gives provider-owned context for MCP as an agent-tool bridge.",
    "tags": [
      "anthropic",
      "mcp",
      "tools"
    ]
  },
  {
    "id": "google-adk-docs",
    "name": "Google Agent Development Kit Docs",
    "type": "Official",
    "framework": "Google ADK",
    "url": "https://google.github.io/adk-docs/",
    "repo": "https://github.com/google/adk-python",
    "description": "Google documentation for the Agent Development Kit.",
    "why_it_matters": "Provides official Google guidance for building agents, tools, and workflows.",
    "tags": [
      "google",
      "adk",
      "agents"
    ]
  },
  {
    "id": "google-adk-python-repo",
    "name": "Google ADK Python",
    "type": "Official",
    "framework": "Google ADK",
    "url": "https://github.com/google/adk-python",
    "repo": "https://github.com/google/adk-python",
    "description": "Google's Python implementation for the Agent Development Kit.",
    "why_it_matters": "Source-backed reference for Google's agent development patterns.",
    "tags": [
      "google",
      "adk",
      "python"
    ]
  },
  {
    "id": "gemini-cli-docs",
    "name": "Gemini CLI Docs",
    "type": "Official",
    "framework": "Gemini",
    "url": "https://github.com/google-gemini/gemini-cli/tree/main/docs",
    "repo": "https://github.com/google-gemini/gemini-cli",
    "description": "Documentation directory for Gemini CLI.",
    "why_it_matters": "Useful for terminal-agent setup, configuration, and workflow guidance.",
    "tags": [
      "gemini",
      "cli",
      "docs"
    ]
  },
  {
    "id": "langgraph-docs",
    "name": "LangGraph Docs",
    "type": "Official",
    "framework": "LangChain/LangGraph",
    "url": "https://docs.langchain.com/oss/python/langgraph/overview",
    "repo": "https://github.com/langchain-ai/langgraph",
    "description": "LangGraph overview documentation.",
    "why_it_matters": "Explains stateful agent graphs and durable workflow concepts.",
    "tags": [
      "langgraph",
      "agents",
      "state"
    ]
  },
  {
    "id": "langchain-mcp-adapters",
    "name": "LangChain MCP Adapters",
    "type": "Official",
    "framework": "LangChain/LangGraph",
    "url": "https://github.com/langchain-ai/langchain-mcp-adapters",
    "repo": "https://github.com/langchain-ai/langchain-mcp-adapters",
    "description": "LangChain adapters for MCP.",
    "why_it_matters": "Shows how MCP tooling can plug into LangChain and LangGraph workflows.",
    "tags": [
      "langchain",
      "mcp",
      "adapters"
    ]
  },
  {
    "id": "cursor-rules-docs",
    "name": "Cursor Rules Docs",
    "type": "Official",
    "framework": "Cursor",
    "url": "https://docs.cursor.com/en/context/rules",
    "repo": "",
    "description": "Cursor documentation for rules and reusable project context.",
    "why_it_matters": "Rules are an important adjacent concept for skill-like guidance in IDE agents.",
    "tags": [
      "cursor",
      "rules",
      "context"
    ]
  },
  {
    "id": "cursor-background-agent-docs",
    "name": "Cursor Background Agent Docs",
    "type": "Official",
    "framework": "Cursor",
    "url": "https://docs.cursor.com/en/background-agent",
    "repo": "",
    "description": "Cursor documentation for background agents.",
    "why_it_matters": "Background agents show how skill guidance can support asynchronous coding work.",
    "tags": [
      "cursor",
      "background-agent",
      "ide"
    ]
  },
  {
    "id": "openclaw-image-generation",
    "name": "OpenClaw Image Generation",
    "type": "Official",
    "framework": "OpenClaw",
    "url": "https://docs.openclaw.ai/tools/image-generation",
    "repo": "https://github.com/openclaw/openclaw",
    "description": "OpenClaw documentation for image generation tools.",
    "why_it_matters": "Example of tool-specific runtime documentation that skills can wrap into workflows.",
    "tags": [
      "openclaw",
      "tools",
      "image-generation"
    ]
  },
  {
    "id": "openclaw-openai-provider",
    "name": "OpenClaw OpenAI Provider",
    "type": "Official",
    "framework": "OpenClaw",
    "url": "https://docs.openclaw.ai/providers/openai",
    "repo": "https://github.com/openclaw/openclaw",
    "description": "OpenClaw documentation for OpenAI provider configuration.",
    "why_it_matters": "Provider setup affects how skills run across agent runtimes.",
    "tags": [
      "openclaw",
      "provider",
      "openai"
    ]
  },
  {
    "id": "hermes-skills-catalog",
    "name": "Hermes Skills Catalog",
    "type": "Official",
    "framework": "Hermes",
    "url": "https://github.com/NousResearch/hermes-agent/blob/main/website/docs/reference/skills-catalog.md",
    "repo": "https://github.com/NousResearch/hermes-agent",
    "description": "Hermes reference page for bundled skills.",
    "why_it_matters": "Shows how Hermes documents built-in skills and their roles.",
    "tags": [
      "hermes",
      "skills",
      "catalog"
    ]
  },
  {
    "id": "hermes-memory-docs",
    "name": "Hermes Memory Docs",
    "type": "Official",
    "framework": "Hermes",
    "url": "https://github.com/NousResearch/hermes-agent/blob/main/website/docs/user-guide/features/memory.md",
    "repo": "https://github.com/NousResearch/hermes-agent",
    "description": "Hermes documentation for memory.",
    "why_it_matters": "Memory boundaries are closely related to reusable skill behavior.",
    "tags": [
      "hermes",
      "memory",
      "skills"
    ]
  },
  {
    "id": "github-copilot-docs",
    "name": "GitHub Copilot Docs",
    "type": "Official",
    "framework": "GitHub Copilot",
    "url": "https://docs.github.com/en/copilot",
    "repo": "",
    "description": "GitHub's documentation hub for Copilot features, agents, CLI, SDK, MCP, and governance.",
    "why_it_matters": "Provides the official source for Copilot's coding-agent and customization surfaces.",
    "tags": [
      "github-copilot",
      "coding-agent",
      "docs"
    ]
  },
  {
    "id": "github-copilot-agent-skills",
    "name": "GitHub Copilot Agent Skills",
    "type": "Official",
    "framework": "GitHub Copilot",
    "url": "https://docs.github.com/en/copilot/concepts/agents/about-agent-skills",
    "repo": "",
    "description": "GitHub documentation explaining how agent skills work with Copilot.",
    "why_it_matters": "Defines Copilot's skill model and helps compare it with other agent-skill runtimes.",
    "tags": [
      "github-copilot",
      "skills",
      "agents"
    ]
  },
  {
    "id": "github-copilot-cloud-agent-skills",
    "name": "Adding Agent Skills For GitHub Copilot",
    "type": "Official",
    "framework": "GitHub Copilot",
    "url": "https://docs.github.com/en/copilot/how-tos/copilot-on-github/customize-copilot/customize-cloud-agent/add-skills",
    "repo": "",
    "description": "GitHub guide for creating, adding, managing, and using agent skills with Copilot.",
    "why_it_matters": "Shows how skills are installed and selected for Copilot cloud agent and related GitHub surfaces.",
    "tags": [
      "github-copilot",
      "skills",
      "cloud-agent"
    ]
  },
  {
    "id": "github-copilot-cli-skills",
    "name": "Adding Agent Skills For GitHub Copilot CLI",
    "type": "Official",
    "framework": "GitHub Copilot",
    "url": "https://docs.github.com/en/copilot/how-tos/copilot-cli/customize-copilot/add-skills",
    "repo": "",
    "description": "GitHub guide for adding and using skills with Copilot CLI.",
    "why_it_matters": "Connects terminal-native Copilot workflows to the broader skill ecosystem.",
    "tags": [
      "github-copilot",
      "cli",
      "skills"
    ]
  },
  {
    "id": "github-copilot-sdk-skills",
    "name": "GitHub Copilot SDK Custom Skills",
    "type": "Official",
    "framework": "GitHub Copilot",
    "url": "https://docs.github.com/en/copilot/how-tos/copilot-sdk/features/skills",
    "repo": "",
    "description": "GitHub documentation for loading skill directories in Copilot SDK sessions.",
    "why_it_matters": "Shows how programmatic Copilot sessions can compose skills with MCP servers and hooks.",
    "tags": [
      "github-copilot",
      "sdk",
      "skills"
    ]
  },
  {
    "id": "github-copilot-mcp-docs",
    "name": "GitHub Copilot MCP Docs",
    "type": "Official",
    "framework": "GitHub Copilot",
    "url": "https://docs.github.com/en/copilot/concepts/context/mcp",
    "repo": "",
    "description": "GitHub documentation for Model Context Protocol support in Copilot.",
    "why_it_matters": "Explains how MCP extends Copilot across IDE, CLI, app, cloud agent, and code review surfaces.",
    "tags": [
      "github-copilot",
      "mcp",
      "context"
    ]
  },
  {
    "id": "github-copilot-repository-instructions",
    "name": "GitHub Copilot Repository Instructions",
    "type": "Official",
    "framework": "GitHub Copilot",
    "url": "https://docs.github.com/en/copilot/how-tos/copilot-on-github/customize-copilot/add-custom-instructions/add-repository-instructions",
    "repo": "",
    "description": "GitHub documentation for repository-level custom instructions.",
    "why_it_matters": "Helps readers distinguish persistent repository guidance from portable agent skills.",
    "tags": [
      "github-copilot",
      "instructions",
      "repository"
    ]
  },
  {
    "id": "awesome-mcp-servers-punkpeye",
    "name": "Awesome MCP Servers",
    "type": "Community",
    "framework": "MCP",
    "url": "https://github.com/punkpeye/awesome-mcp-servers",
    "repo": "https://github.com/punkpeye/awesome-mcp-servers",
    "description": "Community-maintained list of MCP servers.",
    "why_it_matters": "Useful for seeing the breadth of MCP servers, while clearly marked as community-maintained.",
    "tags": [
      "mcp",
      "community",
      "servers"
    ]
  },
  {
    "id": "awesome-claude-code",
    "name": "Awesome Claude Code",
    "type": "Community",
    "framework": "Claude Code",
    "url": "https://github.com/hesreallyhim/awesome-claude-code",
    "repo": "https://github.com/hesreallyhim/awesome-claude-code",
    "description": "Community list of Claude Code resources.",
    "why_it_matters": "Useful for non-official ecosystem discovery when labeled separately from Anthropic-owned sources.",
    "tags": [
      "claude-code",
      "community",
      "resources"
    ]
  },
  {
    "id": "openai-agents-guide",
    "name": "OpenAI Agents Guide",
    "type": "Official",
    "framework": "OpenAI Agents SDK",
    "url": "https://platform.openai.com/docs/guides/agents",
    "repo": "",
    "description": "OpenAI guide for building agents with tools, instructions, and handoffs.",
    "why_it_matters": "Useful for learning how a major provider frames agent design, tool use, and orchestration.",
    "tags": [
      "agents",
      "openai",
      "tools",
      "handoffs"
    ]
  },
  {
    "id": "openai-apps-sdk-docs",
    "name": "OpenAI Apps SDK Docs",
    "type": "Official",
    "framework": "OpenAI Apps SDK",
    "url": "https://developers.openai.com/apps-sdk/",
    "repo": "",
    "description": "OpenAI documentation for building apps that connect tools and interfaces to ChatGPT.",
    "why_it_matters": "Helps readers understand app and tool surfaces adjacent to agent skill workflows.",
    "tags": [
      "apps",
      "tools",
      "chatgpt",
      "mcp"
    ]
  },
  {
    "id": "claude-code-memory-docs",
    "name": "Claude Code Memory Docs",
    "type": "Official",
    "framework": "Claude Code",
    "url": "https://docs.anthropic.com/en/docs/claude-code/memory",
    "repo": "",
    "description": "Anthropic documentation for Claude Code memory behavior.",
    "why_it_matters": "Memory affects how skills, instructions, and project preferences persist across agent work.",
    "tags": [
      "claude-code",
      "memory",
      "context"
    ]
  },
  {
    "id": "claude-code-hooks-docs",
    "name": "Claude Code Hooks Docs",
    "type": "Official",
    "framework": "Claude Code",
    "url": "https://docs.anthropic.com/en/docs/claude-code/hooks",
    "repo": "",
    "description": "Anthropic documentation for Claude Code hooks.",
    "why_it_matters": "Hooks are a useful reference point for approval, validation, and automation boundaries.",
    "tags": [
      "claude-code",
      "hooks",
      "automation",
      "approval"
    ]
  },
  {
    "id": "claude-code-settings-docs",
    "name": "Claude Code Settings Docs",
    "type": "Official",
    "framework": "Claude Code",
    "url": "https://docs.anthropic.com/en/docs/claude-code/settings",
    "repo": "",
    "description": "Anthropic documentation for Claude Code configuration and settings.",
    "why_it_matters": "Settings are part of the runtime boundary that skill authors need to understand.",
    "tags": [
      "claude-code",
      "settings",
      "runtime",
      "configuration"
    ]
  },
  {
    "id": "langgraph-persistence-docs",
    "name": "LangGraph Persistence Docs",
    "type": "Official",
    "framework": "LangChain / LangGraph",
    "url": "https://docs.langchain.com/oss/python/langgraph/persistence",
    "repo": "https://github.com/langchain-ai/langgraph",
    "description": "LangGraph documentation for persistence and state.",
    "why_it_matters": "State and persistence are central concepts for durable agent workflows and skill handoffs.",
    "tags": [
      "langgraph",
      "state",
      "persistence",
      "workflows"
    ]
  },
  {
    "id": "langgraph-human-in-the-loop-docs",
    "name": "LangGraph Human-in-the-loop Docs",
    "type": "Official",
    "framework": "LangChain / LangGraph",
    "url": "https://docs.langchain.com/oss/python/langgraph/human-in-the-loop",
    "repo": "https://github.com/langchain-ai/langgraph",
    "description": "LangGraph documentation for human review and intervention patterns.",
    "why_it_matters": "Provides a framework reference for approval gates and human-supervised agent workflows.",
    "tags": [
      "langgraph",
      "human-in-the-loop",
      "approval",
      "workflows"
    ]
  },
  {
    "id": "google-adk-agents-docs",
    "name": "Google ADK Agents Docs",
    "type": "Official",
    "framework": "Google ADK",
    "url": "https://google.github.io/adk-docs/agents/",
    "repo": "https://github.com/google/adk-python",
    "description": "Google ADK documentation for agent concepts.",
    "why_it_matters": "Helps compare how Google structures agents and agent workflow components.",
    "tags": [
      "google-adk",
      "agents",
      "framework"
    ]
  },
  {
    "id": "google-adk-tools-docs",
    "name": "Google ADK Tools Docs",
    "type": "Official",
    "framework": "Google ADK",
    "url": "https://google.github.io/adk-docs/tools/",
    "repo": "https://github.com/google/adk-python",
    "description": "Google ADK documentation for tools.",
    "why_it_matters": "Tool concepts help readers distinguish skill instructions from callable capabilities.",
    "tags": [
      "google-adk",
      "tools",
      "agents"
    ]
  },
  {
    "id": "opentelemetry-genai-semconv",
    "name": "OpenTelemetry GenAI Semantic Conventions",
    "type": "Official",
    "framework": "Observability",
    "url": "https://opentelemetry.io/docs/specs/semconv/gen-ai/",
    "repo": "https://github.com/open-telemetry/opentelemetry-specification",
    "description": "OpenTelemetry semantic conventions for generative AI operations.",
    "why_it_matters": "Gives teams vocabulary for traces, metrics, and evidence around agent workflows.",
    "tags": [
      "observability",
      "tracing",
      "evaluation",
      "genai"
    ]
  },
  {
    "id": "owasp-llm-top-10",
    "name": "OWASP Top 10 For LLM Applications",
    "type": "Community",
    "framework": "Security",
    "url": "https://owasp.org/www-project-top-10-for-large-language-model-applications/",
    "repo": "https://github.com/OWASP/www-project-top-10-for-large-language-model-applications",
    "description": "OWASP project covering common security risks in LLM applications.",
    "why_it_matters": "Provides a practical security checklist for skills that use tools, prompts, data, or code execution.",
    "tags": [
      "security",
      "llm",
      "risk",
      "guardrails"
    ]
  },
  {
    "id": "nist-ai-risk-management-framework",
    "name": "NIST AI Risk Management Framework",
    "type": "Official",
    "framework": "Governance",
    "url": "https://www.nist.gov/itl/ai-risk-management-framework",
    "repo": "",
    "description": "NIST resource hub for AI risk management.",
    "why_it_matters": "Useful background for teams creating approval, governance, and rollout processes for agent skills.",
    "tags": [
      "governance",
      "risk",
      "safety",
      "evaluation"
    ]
  },
  {
    "id": "model-context-protocol-introduction",
    "name": "Model Context Protocol Introduction",
    "type": "Official",
    "framework": "MCP",
    "url": "https://modelcontextprotocol.io/docs/getting-started/intro",
    "repo": "https://github.com/modelcontextprotocol/modelcontextprotocol",
    "description": "Introductory documentation for the Model Context Protocol.",
    "why_it_matters": "Gives readers a starting point for understanding MCP as a tool and context layer for agents.",
    "tags": [
      "mcp",
      "tools",
      "context",
      "protocol"
    ]
  },
  {
    "id": "crewai-docs",
    "name": "CrewAI Docs",
    "type": "Official",
    "framework": "CrewAI",
    "url": "https://docs.crewai.com/",
    "repo": "https://github.com/crewAIInc/crewAI",
    "description": "Official CrewAI documentation for crews, flows, agents, tools, memory, knowledge, guardrails, and observability.",
    "why_it_matters": "Shows how role-based and flow-based agent workflows can be captured as reusable skill recipes.",
    "tags": [
      "agents",
      "multi-agent",
      "workflows",
      "tools"
    ]
  },
  {
    "id": "crewai-repo",
    "name": "CrewAI GitHub",
    "type": "Official",
    "framework": "CrewAI",
    "url": "https://github.com/crewAIInc/crewAI",
    "repo": "https://github.com/crewAIInc/crewAI",
    "description": "Official CrewAI open-source repository.",
    "why_it_matters": "Provides source context for CrewAI framework usage and project structure.",
    "tags": [
      "repo",
      "agents",
      "multi-agent"
    ]
  },
  {
    "id": "autogen-docs",
    "name": "Microsoft AutoGen Docs",
    "type": "Official",
    "framework": "Microsoft AutoGen",
    "url": "https://microsoft.github.io/autogen/stable/",
    "repo": "https://github.com/microsoft/autogen",
    "description": "Official AutoGen documentation for AgentChat, Core, Studio, extensions, tools, and runtime concepts.",
    "why_it_matters": "Documents a major multi-agent ecosystem whose workflows can be translated into reusable skill guidance.",
    "tags": [
      "agents",
      "multi-agent",
      "tools",
      "workflows"
    ]
  },
  {
    "id": "autogen-repo",
    "name": "Microsoft AutoGen GitHub",
    "type": "Official",
    "framework": "Microsoft AutoGen",
    "url": "https://github.com/microsoft/autogen",
    "repo": "https://github.com/microsoft/autogen",
    "description": "Official Microsoft AutoGen repository.",
    "why_it_matters": "Provides source code and examples for AutoGen agent applications and multi-agent workflows.",
    "tags": [
      "repo",
      "agents",
      "multi-agent"
    ]
  },
  {
    "id": "semantic-kernel-docs",
    "name": "Semantic Kernel Docs",
    "type": "Official",
    "framework": "Semantic Kernel",
    "url": "https://learn.microsoft.com/en-us/semantic-kernel/overview/",
    "repo": "https://github.com/microsoft/semantic-kernel",
    "description": "Official Microsoft Semantic Kernel overview and documentation.",
    "why_it_matters": "Shows how enterprise agent workflows use plugins, functions, planners, memory, and application integration.",
    "tags": [
      "agents",
      "plugins",
      "enterprise",
      "orchestration"
    ]
  },
  {
    "id": "semantic-kernel-repo",
    "name": "Semantic Kernel GitHub",
    "type": "Official",
    "framework": "Semantic Kernel",
    "url": "https://github.com/microsoft/semantic-kernel",
    "repo": "https://github.com/microsoft/semantic-kernel",
    "description": "Official Semantic Kernel repository.",
    "why_it_matters": "Provides source context for Semantic Kernel app and agent orchestration patterns.",
    "tags": [
      "repo",
      "agents",
      "plugins"
    ]
  },
  {
    "id": "llamaindex-docs",
    "name": "LlamaIndex Docs",
    "type": "Official",
    "framework": "LlamaIndex",
    "url": "https://developers.llamaindex.ai/python/framework/",
    "repo": "https://github.com/run-llama/llama_index",
    "description": "Official LlamaIndex framework documentation for data, RAG, tools, agents, workflows, evaluation, and observability.",
    "why_it_matters": "Covers the data and retrieval layer that many agent skills need to reference safely.",
    "tags": [
      "rag",
      "agents",
      "data",
      "workflows"
    ]
  },
  {
    "id": "llamaindex-repo",
    "name": "LlamaIndex GitHub",
    "type": "Official",
    "framework": "LlamaIndex",
    "url": "https://github.com/run-llama/llama_index",
    "repo": "https://github.com/run-llama/llama_index",
    "description": "Official LlamaIndex repository.",
    "why_it_matters": "Provides source context for RAG agent and data workflow examples.",
    "tags": [
      "repo",
      "rag",
      "agents"
    ]
  },
  {
    "id": "pydantic-ai-docs",
    "name": "Pydantic AI Docs",
    "type": "Official",
    "framework": "Pydantic AI",
    "url": "https://pydantic.dev/docs/ai/overview/",
    "repo": "https://github.com/pydantic/pydantic-ai",
    "description": "Official Pydantic AI documentation for agents, tools, structured outputs, evals, MCP, graphs, and human-in-the-loop patterns.",
    "why_it_matters": "Gives Python teams a typed approach to agent workflows that can be reviewed as code.",
    "tags": [
      "agents",
      "python",
      "evals",
      "tools"
    ]
  },
  {
    "id": "pydantic-ai-repo",
    "name": "Pydantic AI GitHub",
    "type": "Official",
    "framework": "Pydantic AI",
    "url": "https://github.com/pydantic/pydantic-ai",
    "repo": "https://github.com/pydantic/pydantic-ai",
    "description": "Official Pydantic AI repository.",
    "why_it_matters": "Provides source context for typed Python agent and evaluation patterns.",
    "tags": [
      "repo",
      "python",
      "agents"
    ]
  },
  {
    "id": "haystack-docs",
    "name": "Haystack Docs",
    "type": "Official",
    "framework": "Haystack",
    "url": "https://docs.haystack.deepset.ai/docs/intro",
    "repo": "https://github.com/deepset-ai/haystack",
    "description": "Official Haystack documentation for pipelines, components, RAG, agents, tools, evaluators, and production workflows.",
    "why_it_matters": "Shows how production retrieval and pipeline workflows can be reviewed before skill adoption.",
    "tags": [
      "rag",
      "pipelines",
      "agents",
      "evaluation"
    ]
  },
  {
    "id": "haystack-repo",
    "name": "Haystack GitHub",
    "type": "Official",
    "framework": "Haystack",
    "url": "https://github.com/deepset-ai/haystack",
    "repo": "https://github.com/deepset-ai/haystack",
    "description": "Official Haystack repository.",
    "why_it_matters": "Provides source context for production RAG and agent pipeline patterns.",
    "tags": [
      "repo",
      "rag",
      "pipelines"
    ]
  },
  {
    "id": "strands-agents-docs",
    "name": "Strands Agents Docs",
    "type": "Official",
    "framework": "Strands Agents",
    "url": "https://strandsagents.com/",
    "repo": "https://github.com/strands-agents/harness-sdk",
    "description": "Official Strands Agents documentation site for agent SDK concepts, tools, hooks, observability, and coding-agent setup.",
    "why_it_matters": "Adds SDK-level agent workflow coverage for teams comparing tool, hook, and observability patterns.",
    "tags": [
      "agents",
      "sdk",
      "tools",
      "observability"
    ]
  },
  {
    "id": "strands-agents-repo",
    "name": "Strands Agents GitHub",
    "type": "Official",
    "framework": "Strands Agents",
    "url": "https://github.com/strands-agents/harness-sdk",
    "repo": "https://github.com/strands-agents/harness-sdk",
    "description": "Official Strands Agents SDK repository.",
    "why_it_matters": "Provides source context for Strands agent SDK workflow patterns.",
    "tags": [
      "repo",
      "agents",
      "sdk"
    ]
  },
  {
    "id": "agno-docs",
    "name": "Agno Docs",
    "type": "Official",
    "framework": "Agno",
    "url": "https://docs.agno.com/",
    "repo": "https://github.com/agno-agi/agno",
    "description": "Official Agno documentation for agents, tools, memory, knowledge, models, and multi-agent applications.",
    "why_it_matters": "Adds coverage for a lightweight agent framework used to compare fast agent app patterns.",
    "tags": [
      "agents",
      "tools",
      "memory",
      "knowledge"
    ]
  },
  {
    "id": "agno-repo",
    "name": "Agno GitHub",
    "type": "Official",
    "framework": "Agno",
    "url": "https://github.com/agno-agi/agno",
    "repo": "https://github.com/agno-agi/agno",
    "description": "Official Agno repository.",
    "why_it_matters": "Provides source context for Agno agent app examples and framework structure.",
    "tags": [
      "repo",
      "agents",
      "tools"
    ]
  },
  {
    "id": "langsmith-docs",
    "name": "LangSmith Docs",
    "type": "Official",
    "framework": "LangSmith",
    "url": "https://docs.langchain.com/langsmith/observability",
    "repo": "",
    "description": "Official LangSmith documentation for LLM application observability, tracing, evaluation, and monitoring.",
    "why_it_matters": "Gives teams a source-backed way to collect trace and eval evidence for skill-backed workflows.",
    "tags": [
      "observability",
      "traces",
      "evals",
      "monitoring"
    ]
  },
  {
    "id": "langfuse-docs",
    "name": "Langfuse Docs",
    "type": "Official",
    "framework": "Langfuse",
    "url": "https://langfuse.com/docs",
    "repo": "https://github.com/langfuse/langfuse",
    "description": "Official Langfuse documentation for LLM tracing, prompt management, evals, and observability.",
    "why_it_matters": "Helps teams review prompt and tool-call behavior before expanding an agent workflow.",
    "tags": [
      "observability",
      "traces",
      "evals",
      "prompts"
    ]
  },
  {
    "id": "langfuse-repo",
    "name": "Langfuse GitHub",
    "type": "Official",
    "framework": "Langfuse",
    "url": "https://github.com/langfuse/langfuse",
    "repo": "https://github.com/langfuse/langfuse",
    "description": "Official Langfuse repository.",
    "why_it_matters": "Provides source context for Langfuse deployment and LLM observability implementation.",
    "tags": [
      "repo",
      "observability",
      "traces"
    ]
  },
  {
    "id": "arize-phoenix-docs",
    "name": "Arize Phoenix Docs",
    "type": "Official",
    "framework": "Arize Phoenix",
    "url": "https://arize.com/docs/phoenix",
    "repo": "https://github.com/Arize-ai/phoenix",
    "description": "Official Phoenix documentation for LLM observability, tracing, evaluation, and troubleshooting.",
    "why_it_matters": "Supports evidence-based review for RAG, agent, and LLM application workflows.",
    "tags": [
      "observability",
      "evals",
      "traces",
      "rag"
    ]
  },
  {
    "id": "arize-phoenix-repo",
    "name": "Arize Phoenix GitHub",
    "type": "Official",
    "framework": "Arize Phoenix",
    "url": "https://github.com/Arize-ai/phoenix",
    "repo": "https://github.com/Arize-ai/phoenix",
    "description": "Official Phoenix repository.",
    "why_it_matters": "Provides source context for Phoenix observability and evaluation workflows.",
    "tags": [
      "repo",
      "observability",
      "evals"
    ]
  },
  {
    "id": "wandb-weave-docs",
    "name": "Weights & Biases Weave Docs",
    "type": "Official",
    "framework": "Weights & Biases Weave",
    "url": "https://docs.wandb.ai/weave",
    "repo": "https://github.com/wandb/weave",
    "description": "Official Weave documentation for tracing and evaluating LLM applications.",
    "why_it_matters": "Helps teams connect agent workflow evidence to experiment and eval review.",
    "tags": [
      "observability",
      "evals",
      "traces",
      "experiments"
    ]
  },
  {
    "id": "wandb-weave-repo",
    "name": "Weights & Biases Weave GitHub",
    "type": "Official",
    "framework": "Weights & Biases Weave",
    "url": "https://github.com/wandb/weave",
    "repo": "https://github.com/wandb/weave",
    "description": "Official Weave repository.",
    "why_it_matters": "Provides source context for Weave tracing and evaluation implementation.",
    "tags": [
      "repo",
      "observability",
      "evals"
    ]
  },
  {
    "id": "humanlayer-repo",
    "name": "HumanLayer GitHub",
    "type": "Official",
    "framework": "HumanLayer",
    "url": "https://github.com/humanlayer/humanlayer",
    "repo": "https://github.com/humanlayer/humanlayer",
    "description": "Official HumanLayer repository for human-in-the-loop agent approval workflows.",
    "why_it_matters": "Provides source context for approval gates and human review patterns around tool calls.",
    "tags": [
      "approval",
      "human-in-the-loop",
      "tools",
      "repo"
    ]
  },
  {
    "id": "composio-docs",
    "name": "Composio Docs",
    "type": "Official",
    "framework": "Composio",
    "url": "https://docs.composio.dev/",
    "repo": "https://github.com/ComposioHQ/composio",
    "description": "Official Composio documentation for agent tools, connectors, authentication, and actions.",
    "why_it_matters": "Shows how connector-heavy agent workflows can expose external actions safely.",
    "tags": [
      "tools",
      "connectors",
      "automation",
      "auth"
    ]
  },
  {
    "id": "composio-repo",
    "name": "Composio GitHub",
    "type": "Official",
    "framework": "Composio",
    "url": "https://github.com/ComposioHQ/composio",
    "repo": "https://github.com/ComposioHQ/composio",
    "description": "Official Composio repository.",
    "why_it_matters": "Provides source context for agent connector and tool integration patterns.",
    "tags": [
      "repo",
      "tools",
      "connectors"
    ]
  },
  {
    "id": "n8n-docs",
    "name": "n8n Docs",
    "type": "Official",
    "framework": "n8n",
    "url": "https://docs.n8n.io/",
    "repo": "https://github.com/n8n-io/n8n",
    "description": "Official n8n documentation for workflow automation, triggers, nodes, credentials, and integrations.",
    "why_it_matters": "Helps teams compare deterministic AI workflow automation with agent orchestration.",
    "tags": [
      "workflow-automation",
      "connectors",
      "triggers",
      "credentials"
    ]
  },
  {
    "id": "n8n-repo",
    "name": "n8n GitHub",
    "type": "Official",
    "framework": "n8n",
    "url": "https://github.com/n8n-io/n8n",
    "repo": "https://github.com/n8n-io/n8n",
    "description": "Official n8n repository.",
    "why_it_matters": "Provides source context for self-hosted workflow automation and connector patterns.",
    "tags": [
      "repo",
      "workflow-automation",
      "connectors"
    ]
  },
  {
    "id": "zapier-docs",
    "name": "Zapier Docs",
    "type": "Official",
    "framework": "Zapier",
    "url": "https://docs.zapier.com/",
    "repo": "",
    "description": "Official Zapier documentation for platform and automation concepts.",
    "why_it_matters": "Gives teams a source-backed reference for SaaS workflow automation around agent output.",
    "tags": [
      "workflow-automation",
      "connectors",
      "actions"
    ]
  },
  {
    "id": "vercel-ai-sdk-docs",
    "name": "Vercel AI SDK Docs",
    "type": "Official",
    "framework": "Vercel AI SDK",
    "url": "https://ai-sdk.dev/docs",
    "repo": "https://github.com/vercel/ai",
    "description": "Official Vercel AI SDK documentation for building AI applications with providers, streaming, tools, and agents.",
    "why_it_matters": "Shows how skill-backed workflows can become application features with tool calling and deployment.",
    "tags": [
      "ai-sdk",
      "tools",
      "agents",
      "deployment"
    ]
  },
  {
    "id": "vercel-ai-repo",
    "name": "Vercel AI GitHub",
    "type": "Official",
    "framework": "Vercel AI SDK",
    "url": "https://github.com/vercel/ai",
    "repo": "https://github.com/vercel/ai",
    "description": "Official Vercel AI repository.",
    "why_it_matters": "Provides source context for Vercel AI SDK patterns used in AI apps and agent workflows.",
    "tags": [
      "repo",
      "ai-sdk",
      "agents"
    ]
  },
  {
    "id": "vercel-ai-gateway-docs",
    "name": "Vercel AI Gateway Docs",
    "type": "Official",
    "framework": "Vercel AI Gateway",
    "url": "https://vercel.com/docs/ai-gateway",
    "repo": "",
    "description": "Official Vercel AI Gateway documentation for model routing and provider access.",
    "why_it_matters": "Adds model gateway and policy-layer coverage for teams operating skill-backed AI applications.",
    "tags": [
      "gateway",
      "model-routing",
      "policy",
      "providers"
    ]
  },
  {
    "id": "owasp-llm-top-10-repo",
    "name": "OWASP LLM Top 10 GitHub",
    "type": "Official",
    "framework": "OWASP LLM Top 10",
    "url": "https://github.com/OWASP/www-project-top-10-for-large-language-model-applications",
    "repo": "https://github.com/OWASP/www-project-top-10-for-large-language-model-applications",
    "description": "Official OWASP LLM Top 10 project repository.",
    "why_it_matters": "Provides source context for LLM application risk categories used in skill safety review.",
    "tags": [
      "security",
      "llm-risk",
      "governance",
      "repo"
    ]
  },
  {
    "id": "guardrails-ai-docs",
    "name": "Guardrails AI Docs",
    "type": "Official",
    "framework": "Guardrails AI",
    "url": "https://guardrailsai.com/guardrails/docs",
    "repo": "https://github.com/guardrails-ai/guardrails",
    "description": "Official Guardrails AI documentation for validation and guardrail patterns.",
    "why_it_matters": "Shows runtime validation patterns that can protect skill-backed workflows.",
    "tags": [
      "guardrails",
      "validation",
      "runtime",
      "security"
    ]
  },
  {
    "id": "guardrails-ai-repo",
    "name": "Guardrails AI GitHub",
    "type": "Official",
    "framework": "Guardrails AI",
    "url": "https://github.com/guardrails-ai/guardrails",
    "repo": "https://github.com/guardrails-ai/guardrails",
    "description": "Official Guardrails AI repository.",
    "why_it_matters": "Provides source context for guardrail implementation and validator patterns.",
    "tags": [
      "repo",
      "guardrails",
      "validation"
    ]
  },
  {
    "id": "lakera-docs",
    "name": "Lakera Docs",
    "type": "Official",
    "framework": "Lakera",
    "url": "https://docs.lakera.ai/",
    "repo": "",
    "description": "Official Lakera documentation for generative AI application security controls.",
    "why_it_matters": "Adds source-backed coverage for runtime protection and prompt injection defense.",
    "tags": [
      "security",
      "prompt-injection",
      "runtime",
      "policy"
    ]
  },
  {
    "id": "promptfoo-docs",
    "name": "promptfoo Docs",
    "type": "Official",
    "framework": "promptfoo",
    "url": "https://www.promptfoo.dev/docs/intro/",
    "repo": "https://github.com/promptfoo/promptfoo",
    "description": "Official promptfoo documentation for LLM evaluations, regression tests, and red teaming.",
    "why_it_matters": "Helps teams test prompt and agent workflow behavior before rollout.",
    "tags": [
      "evals",
      "red-team",
      "prompt-injection",
      "testing"
    ]
  },
  {
    "id": "promptfoo-repo",
    "name": "promptfoo GitHub",
    "type": "Official",
    "framework": "promptfoo",
    "url": "https://github.com/promptfoo/promptfoo",
    "repo": "https://github.com/promptfoo/promptfoo",
    "description": "Official promptfoo repository.",
    "why_it_matters": "Provides source context for prompt and LLM application evaluation workflows.",
    "tags": [
      "repo",
      "evals",
      "red-team"
    ]
  },
  {
    "id": "garak-repo",
    "name": "garak GitHub",
    "type": "Official",
    "framework": "garak",
    "url": "https://github.com/NVIDIA/garak",
    "repo": "https://github.com/NVIDIA/garak",
    "description": "Official garak repository for LLM vulnerability probing.",
    "why_it_matters": "Adds source-backed coverage for adversarial LLM testing and vulnerability discovery.",
    "tags": [
      "repo",
      "red-team",
      "security",
      "testing"
    ]
  },
  {
    "id": "pyrit-docs",
    "name": "PyRIT Docs",
    "type": "Official",
    "framework": "PyRIT",
    "url": "https://azure.github.io/PyRIT/",
    "repo": "https://github.com/Azure/PyRIT",
    "description": "Official PyRIT documentation for generative AI red-team automation.",
    "why_it_matters": "Supports repeatable risk identification and evidence gathering for agent workflows.",
    "tags": [
      "red-team",
      "security",
      "evals",
      "testing"
    ]
  },
  {
    "id": "pyrit-repo",
    "name": "PyRIT GitHub",
    "type": "Official",
    "framework": "PyRIT",
    "url": "https://github.com/Azure/PyRIT",
    "repo": "https://github.com/Azure/PyRIT",
    "description": "Official PyRIT repository.",
    "why_it_matters": "Provides source context for Microsoft red-team tooling around generative AI systems.",
    "tags": [
      "repo",
      "red-team",
      "security"
    ]
  },
  {
    "id": "purplellama-repo",
    "name": "PurpleLlama GitHub",
    "type": "Official",
    "framework": "PurpleLlama",
    "url": "https://github.com/meta-llama/PurpleLlama",
    "repo": "https://github.com/meta-llama/PurpleLlama",
    "description": "Official Meta PurpleLlama repository.",
    "why_it_matters": "Provides source context for Meta LLM safety and runtime protection tooling.",
    "tags": [
      "repo",
      "security",
      "runtime",
      "llm"
    ]
  },
  {
    "id": "llama-firewall",
    "name": "LlamaFirewall",
    "type": "Official",
    "framework": "LlamaFirewall",
    "url": "https://github.com/meta-llama/PurpleLlama/tree/main/LlamaFirewall",
    "repo": "https://github.com/meta-llama/PurpleLlama",
    "description": "Official LlamaFirewall project within Meta PurpleLlama.",
    "why_it_matters": "Adds runtime protection coverage for LLM application safety review.",
    "tags": [
      "runtime",
      "guardrails",
      "security",
      "prompt-injection"
    ]
  },
  {
    "id": "vercel-platform-docs",
    "name": "Vercel Platform Docs",
    "type": "Official",
    "framework": "Vercel Platform",
    "url": "https://vercel.com/docs",
    "repo": "",
    "description": "Official Vercel documentation for deployments, functions, projects, environment variables, and platform operations.",
    "why_it_matters": "Helps teams understand how hosted AI apps and skill-backed workflows are deployed, configured, and operated on Vercel.",
    "tags": [
      "deployment",
      "hosting",
      "functions",
      "environment-variables"
    ]
  },
  {
    "id": "vercel-deployments-docs",
    "name": "Vercel Deployments Docs",
    "type": "Official",
    "framework": "Vercel Platform",
    "url": "https://vercel.com/docs/deployments",
    "repo": "",
    "description": "Official Vercel documentation for preview and production deployments.",
    "why_it_matters": "Preview deployments are useful evidence points before rolling out skill-backed AI app workflows.",
    "tags": [
      "deployment",
      "preview",
      "rollout",
      "evidence"
    ]
  },
  {
    "id": "vercel-functions-docs",
    "name": "Vercel Functions Docs",
    "type": "Official",
    "framework": "Vercel Platform",
    "url": "https://vercel.com/docs/functions",
    "repo": "",
    "description": "Official Vercel documentation for serverless and framework functions.",
    "why_it_matters": "Function limits, runtime behavior, and environment handling shape how agent workflows should be hosted.",
    "tags": [
      "deployment",
      "functions",
      "runtime",
      "serverless"
    ]
  },
  {
    "id": "cloudflare-workers-docs",
    "name": "Cloudflare Workers Docs",
    "type": "Official",
    "framework": "Cloudflare Workers",
    "url": "https://developers.cloudflare.com/workers/",
    "repo": "",
    "description": "Official Cloudflare Workers documentation for edge compute and worker runtimes.",
    "why_it_matters": "Workers can host lightweight tool adapters, routing layers, and policy checks around skill-backed workflows.",
    "tags": [
      "deployment",
      "edge",
      "workers",
      "runtime"
    ]
  },
  {
    "id": "fly-io-docs",
    "name": "Fly.io Docs",
    "type": "Official",
    "framework": "Fly.io",
    "url": "https://fly.io/docs/",
    "repo": "",
    "description": "Official Fly.io documentation for deploying and operating applications close to users.",
    "why_it_matters": "Containerized agent services often need hosting, secrets, logs, and rollback practices beyond local skill execution.",
    "tags": [
      "deployment",
      "containers",
      "hosting",
      "runtime"
    ]
  },
  {
    "id": "modal-docs",
    "name": "Modal Docs",
    "type": "Official",
    "framework": "Modal",
    "url": "https://modal.com/docs",
    "repo": "",
    "description": "Official Modal documentation for hosted Python functions, jobs, images, and secrets.",
    "why_it_matters": "Modal is useful for Python-heavy skill-backed data, model, and evaluation workflows with bounded execution.",
    "tags": [
      "deployment",
      "python",
      "jobs",
      "serverless"
    ]
  },
  {
    "id": "aws-bedrock-agents-docs",
    "name": "AWS Bedrock Agents Docs",
    "type": "Official",
    "framework": "AWS Bedrock Agents",
    "url": "https://docs.aws.amazon.com/bedrock/latest/userguide/agents.html",
    "repo": "",
    "description": "Official AWS documentation for Amazon Bedrock Agents.",
    "why_it_matters": "Managed agents, action groups, IAM, and knowledge bases are important deployment surfaces for enterprise skill-like workflows.",
    "tags": [
      "deployment",
      "managed-agents",
      "aws",
      "iam"
    ]
  },
  {
    "id": "azure-ai-foundry-docs",
    "name": "Azure AI Foundry Docs",
    "type": "Official",
    "framework": "Azure AI Foundry",
    "url": "https://learn.microsoft.com/en-us/azure/ai-foundry/",
    "repo": "",
    "description": "Official Microsoft documentation for Azure AI Foundry.",
    "why_it_matters": "Azure AI Foundry provides enterprise AI project, agent, evaluation, deployment, and governance surfaces.",
    "tags": [
      "deployment",
      "azure",
      "agents",
      "evaluation"
    ]
  },
  {
    "id": "azure-ai-foundry-agents-docs",
    "name": "Azure AI Foundry Agents Overview",
    "type": "Official",
    "framework": "Azure AI Foundry",
    "url": "https://learn.microsoft.com/en-us/azure/ai-foundry/agents/overview",
    "repo": "",
    "description": "Official Microsoft overview for Azure AI Foundry Agent Service.",
    "why_it_matters": "Agent Service concepts help teams map skill-backed workflows into managed Azure agent deployments.",
    "tags": [
      "deployment",
      "azure",
      "agents",
      "managed-agents"
    ]
  },
  {
    "id": "google-gemini-enterprise-agent-platform",
    "name": "Google Gemini Enterprise Agent Platform",
    "type": "Official",
    "framework": "Google Vertex AI Agent Builder",
    "url": "https://cloud.google.com/products/gemini-enterprise-agent-platform",
    "repo": "",
    "description": "Official Google Cloud product page for Gemini Enterprise agent platform capabilities.",
    "why_it_matters": "Google Cloud managed agent and enterprise search surfaces are relevant for deploying skill-adjacent workflows with cloud governance.",
    "tags": [
      "deployment",
      "google-cloud",
      "managed-agents",
      "enterprise-search"
    ]
  },
  {
    "id": "google-vertex-ai-agent-engine-docs",
    "name": "Vertex AI Agent Engine Overview",
    "type": "Official",
    "framework": "Google Vertex AI Agent Builder",
    "url": "https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/overview",
    "repo": "",
    "description": "Official Google Cloud documentation for Vertex AI Agent Engine.",
    "why_it_matters": "Agent Engine documentation helps teams understand managed deployment, operation, and integration choices for agent workflows.",
    "tags": [
      "deployment",
      "google-cloud",
      "agent-engine",
      "runtime"
    ]
  },
  {
    "id": "swe-bench-site",
    "name": "SWE-bench Site",
    "type": "Official",
    "framework": "SWE-bench",
    "url": "https://www.swebench.com/",
    "repo": "https://github.com/SWE-bench/SWE-bench",
    "description": "Project site for SWE-bench, a benchmark for software engineering issue resolution.",
    "why_it_matters": "SWE-bench is useful context for evaluating coding-agent and repository patch workflows.",
    "tags": [
      "evaluation",
      "benchmark",
      "coding-agents",
      "software-engineering"
    ]
  },
  {
    "id": "swe-bench-repo",
    "name": "SWE-bench GitHub",
    "type": "Official",
    "framework": "SWE-bench",
    "url": "https://github.com/SWE-bench/SWE-bench",
    "repo": "https://github.com/SWE-bench/SWE-bench",
    "description": "SWE-bench repository with benchmark code and resources.",
    "why_it_matters": "The repo helps readers inspect benchmark setup instead of relying on leaderboard claims alone.",
    "tags": [
      "evaluation",
      "benchmark",
      "github",
      "coding-agents"
    ]
  },
  {
    "id": "gaia-leaderboard",
    "name": "GAIA Leaderboard",
    "type": "Community",
    "framework": "GAIA",
    "url": "https://huggingface.co/spaces/gaia-benchmark/leaderboard",
    "repo": "",
    "description": "Public GAIA benchmark leaderboard hosted on Hugging Face Spaces.",
    "why_it_matters": "GAIA gives broad context for assistant tasks that require reasoning and tool use.",
    "tags": [
      "evaluation",
      "benchmark",
      "tool-use",
      "assistant-tasks"
    ]
  },
  {
    "id": "tau-bench-repo",
    "name": "\u03c4-bench GitHub",
    "type": "Community",
    "framework": "\u03c4-bench",
    "url": "https://github.com/sierra-research/tau-bench",
    "repo": "https://github.com/sierra-research/tau-bench",
    "description": "\u03c4-bench repository for evaluating tool-agent behavior in simulated domains.",
    "why_it_matters": "Tool-agent benchmarks help teams think about state, tool calls, and task success before building local evals.",
    "tags": [
      "evaluation",
      "benchmark",
      "tool-use",
      "agents"
    ]
  },
  {
    "id": "agentbench-repo",
    "name": "AgentBench GitHub",
    "type": "Community",
    "framework": "AgentBench",
    "url": "https://github.com/THUDM/AgentBench",
    "repo": "https://github.com/THUDM/AgentBench",
    "description": "AgentBench repository for broad agent evaluation across multiple environments.",
    "why_it_matters": "AgentBench helps readers understand broad benchmark design for agent environments.",
    "tags": [
      "evaluation",
      "benchmark",
      "agents",
      "multi-environment"
    ]
  },
  {
    "id": "inspect-ai-docs",
    "name": "Inspect AI Docs",
    "type": "Official",
    "framework": "Inspect AI",
    "url": "https://inspect.aisi.org.uk/",
    "repo": "",
    "description": "Official Inspect AI documentation for programmable LLM evaluations.",
    "why_it_matters": "Inspect AI is useful for teams that need custom tasks, solvers, scorers, and reproducible eval logs.",
    "tags": [
      "evaluation",
      "eval-framework",
      "scorers",
      "regression"
    ]
  },
  {
    "id": "openai-evals-guide",
    "name": "OpenAI Evals Guide",
    "type": "Official",
    "framework": "OpenAI Evals",
    "url": "https://platform.openai.com/docs/guides/evals",
    "repo": "https://github.com/openai/evals",
    "description": "Official OpenAI guide for evals and evaluation workflows.",
    "why_it_matters": "OpenAI Evals guidance helps teams build repeatable checks for OpenAI-backed agent and skill workflows.",
    "tags": [
      "evaluation",
      "openai",
      "evals",
      "regression"
    ]
  },
  {
    "id": "openai-evals-repo",
    "name": "OpenAI Evals GitHub",
    "type": "Official",
    "framework": "OpenAI Evals",
    "url": "https://github.com/openai/evals",
    "repo": "https://github.com/openai/evals",
    "description": "OpenAI Evals repository for evaluation examples and tooling.",
    "why_it_matters": "The repository gives readers a source-backed implementation reference for eval workflows.",
    "tags": [
      "evaluation",
      "openai",
      "github",
      "evals"
    ]
  },
  {
    "id": "ragas-docs",
    "name": "Ragas Docs",
    "type": "Official",
    "framework": "Ragas",
    "url": "https://docs.ragas.io/",
    "repo": "https://github.com/vibrantlabsai/ragas",
    "description": "Official Ragas documentation for evaluating RAG and LLM applications.",
    "why_it_matters": "Ragas is relevant for skills that retrieve, ground, summarize, or answer from documents.",
    "tags": [
      "evaluation",
      "rag",
      "retrieval",
      "grounding"
    ]
  },
  {
    "id": "ragas-repo",
    "name": "Ragas GitHub",
    "type": "Official",
    "framework": "Ragas",
    "url": "https://github.com/vibrantlabsai/ragas",
    "repo": "https://github.com/vibrantlabsai/ragas",
    "description": "Ragas repository for RAG evaluation tooling.",
    "why_it_matters": "The repo helps readers inspect RAG evaluation implementation details and examples.",
    "tags": [
      "evaluation",
      "rag",
      "github",
      "retrieval"
    ]
  },
  {
    "id": "deepeval-docs",
    "name": "DeepEval Docs",
    "type": "Official",
    "framework": "DeepEval",
    "url": "https://deepeval.com/docs/getting-started",
    "repo": "https://github.com/confident-ai/deepeval",
    "description": "Official DeepEval documentation for LLM application test cases and metrics.",
    "why_it_matters": "DeepEval is relevant for teams that want CI-style eval tests around agent or skill outputs.",
    "tags": [
      "evaluation",
      "llm-tests",
      "metrics",
      "regression"
    ]
  },
  {
    "id": "deepeval-repo",
    "name": "DeepEval GitHub",
    "type": "Official",
    "framework": "DeepEval",
    "url": "https://github.com/confident-ai/deepeval",
    "repo": "https://github.com/confident-ai/deepeval",
    "description": "DeepEval repository for LLM evaluation tooling.",
    "why_it_matters": "The repo provides source-backed implementation context for LLM app testing.",
    "tags": [
      "evaluation",
      "github",
      "llm-tests",
      "metrics"
    ]
  },
  {
    "id": "braintrust-docs",
    "name": "Braintrust Docs",
    "type": "Official",
    "framework": "Braintrust",
    "url": "https://www.braintrust.dev/docs",
    "repo": "https://github.com/braintrustdata/braintrust-sdk-javascript",
    "description": "Official Braintrust documentation for evals, prompts, datasets, and experiments.",
    "why_it_matters": "Braintrust helps teams manage repeated eval cycles and evidence across agent workflow pilots.",
    "tags": [
      "evaluation",
      "experiments",
      "datasets",
      "observability"
    ]
  },
  {
    "id": "braintrust-sdk-repo",
    "name": "Braintrust SDK GitHub",
    "type": "Official",
    "framework": "Braintrust",
    "url": "https://github.com/braintrustdata/braintrust-sdk-javascript",
    "repo": "https://github.com/braintrustdata/braintrust-sdk-javascript",
    "description": "Braintrust JavaScript SDK repository.",
    "why_it_matters": "The SDK repo gives implementation context for recording evals and experiments from applications.",
    "tags": [
      "evaluation",
      "sdk",
      "github",
      "experiments"
    ]
  },
  {
    "id": "helm-latest",
    "name": "HELM Latest",
    "type": "Lab",
    "framework": "HELM",
    "url": "https://crfm.stanford.edu/helm/latest/",
    "repo": "https://github.com/stanford-crfm/helm",
    "description": "Stanford CRFM HELM benchmark reporting site.",
    "why_it_matters": "HELM is useful context for model-level scenario and metric design.",
    "tags": [
      "evaluation",
      "benchmark",
      "model-evaluation",
      "metrics"
    ]
  },
  {
    "id": "helm-repo",
    "name": "HELM GitHub",
    "type": "Lab",
    "framework": "HELM",
    "url": "https://github.com/stanford-crfm/helm",
    "repo": "https://github.com/stanford-crfm/helm",
    "description": "HELM repository from Stanford CRFM.",
    "why_it_matters": "The repo helps readers inspect benchmark methodology and implementation details.",
    "tags": [
      "evaluation",
      "benchmark",
      "github",
      "model-evaluation"
    ]
  },
  {
    "id": "mlcommons-ailuminate",
    "name": "MLCommons AILuminate",
    "type": "Official",
    "framework": "MLCommons AILuminate",
    "url": "https://mlcommons.org/ailuminate/",
    "repo": "",
    "description": "MLCommons AILuminate AI safety benchmark information.",
    "why_it_matters": "AILuminate adds source-backed safety benchmark context for risk and governance discussions.",
    "tags": [
      "evaluation",
      "safety",
      "benchmark",
      "governance"
    ]
  }
]