S9: dstask and Remind Integration

This project (S9) set up a comprehensive task and reminder management system using dstask and remind with seamless integration.

What We Accomplished

Core Systems

• dstask: Git-backed task management with project contexts
• remind: File-based reminder system with project organization
• Enhanced Integration: Context switching that changes both task context and working directory

Key Features

• Universal Context Switching: dtc <project> switches dstask context AND directory
• Project-Based Organization: Each project has its own task and reminder files
• Intelligent Automation: AI can create reminders and tasks based on conversation context
• Seamless Workflow: Your context = your directory = your project

Documentation Structure

• dstask-guide.md - Complete dstask setup and usage
• remind-guide.md - Remind integration and commands
• integration-guide.md - How systems work together
• troubleshooting.md - Common issues and solutions
• quick-reference.md - Daily usage cheat sheet

Quick Start

# Switch to any project (changes context AND directory)
dtc P1129
dtc S9

# Create tasks with consistent structure
dstask add template:3 "Task name" +tags P# project:XXX

# Create reminders
radd event "Dec 15 AT 10:00" "Team meeting"
radd reminder "Sep 20" "Call client"  
radd deadline "Oct 1" "Report due"

# View current project items
dstask next          # Tasks for current context
rproj               # Reminders for current context

File Organization

Global:
  ~/.reminders                    # Personal reminders
  ~/.reminders-master            # All reminders combined
  ~/.dstask/                     # dstask data (Git repo)

Projects:
  ~/Me/A/<Project>/.reminders   # Project-specific reminders
  
Fish Config:
  ~/.config/fish/config.fish          # Enhanced dtc function + aliases
  ~/.config/fish/completions/dstask.fish # Tab completions

Integration Benefits

• Context Alignment: Working directory always matches task context
• Automatic Organization: Files saved to correct project locations
• Cross-System Reference: Tasks and reminders can reference each other
• AI-Ready: Automated creation based on conversation content
• Git-Backed: All changes version controlled and syncable

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AI Agent Enhancement Tools

This section covers the CLI tools and functions installed to enhance AI agent capabilities in Warp.

📦 Installed Tools

All tools installed via Homebrew and verified working:

Data Processing

• miller (mlr) v6.15.0 - Like sed/awk for CSV, JSON, and structured data
• yq v4.47.2 - YAML/XML processor (complement to jq)

Document Conversion

• pandoc v3.7.0.2 - Universal document converter (HTML to Markdown, etc.)

Web Processing

• pup v0.4.0 - CSS selector-based HTML parser for structured web scraping

🚀 Agent Enhancement Functions

Functions are loaded from agent_functions.fish. Source this file to enable:

source agent_functions.fish

Key Functions

Category	Function	Purpose
Web	web2md	Convert webpage to markdown
Web	web_extract	Extract content with CSS selectors
Web	web_to_task	Create dstask from web content
Data	csv_analyze	Quick CSV analysis
Data	data_transform	Convert between data formats
YAML	yaml_query	Query YAML files
Docs	doc_convert	Universal document conversion
Utils	agent_status	Show tool status

💡 AI Agent Use Cases

Web Research & Content Extraction

# Convert articles to markdown
web2md https://blog.example.com/article post.md

# Extract specific content
web_extract https://news.site 'h1, .summary' text

# Create research tasks
web_to_task https://paper.com "Analyze methodology" +analysis P1

Data Analysis & Processing

# Quick CSV insights
csv_analyze sales_data.csv

# Transform API responses
data_transform api_response.json json csv report.csv

# Query configuration files
yaml_query docker-compose.yml '.services.*.image'

Documentation & Reporting

# Convert markdown to HTML
md_to_html report.md report.html

# Universal document conversion
doc_convert report.md markdown docx report.docx

🔧 Integration with Existing Tools

• dstask: web_to_task creates tasks with web metadata
• remind: Schedule data processing and content extraction
• Context Switching: Functions work within project contexts

🔄 Loading Functions

Add to fish config for auto-loading:

# Add to ~/.config/fish/config.fish
source ~/Me/A/S9\ Set\ up\ tools\ for\ Warp\ agent/agent_functions.fish

Run agent_status to verify all tools are working.

Version Control Policy

jj (Jujutsu) as Default VCS

Decision: jj is the primary version control system for all new projects. Rationale: Simpler mental model, better change stacking, cleaner history management. Implementation:

• New projects default to jj git init
• Git-first approach only for collaborating on others' repositories
• Full git compatibility maintained via jj git commands

AI Agent Permissions

Allowed Operations: All VCS operations except destructive actions

• ✅ Create commits, amend unpublished changes
• ✅ Create bookmarks, stacks, descriptions
• ✅ Fetch from remotes
• ⚠️ Requires approval: Pushes to remotes, history rewrites, destructive operations

Integration with Workflow

• Commit messages reference dstask IDs: "Fix bug in parser\n\nRelated: dstask #123"
• Journal entries (jn) document major changes and decisions
• Decision records (dnew) for VCS policy changes
• Repository: https://github.com/boticello/S9-warp-agent-tools.git

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S9 Project status: Task and reminder management, AI agent enhancement tools, and jj version control configured and integrated