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@miyadav miyadav commented Oct 29, 2025

@theobarberbany PTAL when time permits.

Summary by CodeRabbit

  • Documentation
    • Enhanced agent description with expanded guidance, additional examples, and improved formatting for better clarity and user reference.

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@miyadav: This pull request explicitly references no jira issue.

In response to this:

@theobarberbany PTAL when time permits.

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@openshift-ci-robot openshift-ci-robot added the jira/valid-reference Indicates that this PR references a valid Jira ticket of any type. label Oct 29, 2025
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openshift-ci bot commented Oct 29, 2025

[APPROVALNOTIFIER] This PR is NOT APPROVED

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coderabbitai bot commented Oct 29, 2025

Walkthrough

The description field of the thinker agent in .claude/agents/feedback.md has been updated from a single-line string to a multi-line formatted block with expanded content, additional example blocks, and a color directive. No behavioral changes introduced.

Changes

Cohort / File(s) Change Summary
Agent Documentation
\.claude/agents/feedback\.md
Updated thinker agent's description field from concise single-line format to multi-line structured block with expanded prose, example blocks, and color directive

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

  • The change is purely cosmetic and documentation-focused with no logic modifications
  • Single file affected with straightforward formatting and content expansion
  • Verify the Markdown formatting renders correctly and examples are properly structured

Poem

🐰 With examples clear and colors bright,
The feedback agent shines with might!
Green directives mark the way,
Better docs to save the day! ✨

Pre-merge checks and finishing touches

❌ Failed checks (2 warnings)
Check name Status Explanation Resolution
Title Check ⚠️ Warning The pull request title states "No-JIRA: yaml was not rendering correctly," which implies a bug fix for a YAML rendering issue. However, the actual change is a content and documentation update to the description field in .claude/agents/feedback.md, where the text is intentionally expanded with additional prose, examples, and formatting directives. The summary explicitly states "No changes to behavior or logic are introduced; this is a content/documentation wording and formatting change." The title is misleading because it suggests resolving a rendering problem rather than describing the actual purpose of expanding and enriching the documentation content.
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
✅ Passed checks (1 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
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Actionable comments posted: 1

📜 Review details

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

Cache: Disabled due to data retention organization setting

Knowledge base: Disabled due to data retention organization setting

📥 Commits

Reviewing files that changed from the base of the PR and between a1a97d6 and d5b5532.

📒 Files selected for processing (1)
  • .claude/agents/feedback.md (1 hunks)
🔇 Additional comments (1)
.claude/agents/feedback.md (1)

1-23: YAML frontmatter is valid—no changes required.

The YAML literal block scalar parses correctly with proper indentation and successfully handles the embedded XML-like tags. The frontmatter structure is valid and all fields are correctly interpreted.

Comment on lines +3 to +21
description: |
Use this agent when you need expert feedback on your plans, code changes, reviews, or problem-solving approach.
This agent should be used proactively during development work to validate your thinking and discover blind spots.
Examples:
<example>
Context: User is working on a complex refactoring task and has outlined their approach.
user: 'I am planning to refactor the authentication system by moving from JWT to session-based auth. Here is my plan: [detailed plan]'
assistant: 'Let me use the gemini-consultant agent to get expert feedback on this refactoring plan before we proceed.'
<commentary>Since the user has outlined a significant architectural change, use the gemini-consultant agent to validate the approach and identify potential issues.</commentary>
</example>
<example>
Context: User has implemented a new feature and wants to ensure it is robust.
user: 'I have implemented the new caching layer. Here is what I did: [implementation details]'
assistant: 'Now let me consult with gemini to review this implementation and see if there are any improvements or issues I should address.'
<commentary>After completing implementation work, use the gemini-consultant agent to get expert review and suggestions for improvement.</commentary>
</example>
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⚠️ Potential issue | 🟡 Minor

Address agent naming inconsistency in examples.

Lines 12 and 19 reference a "gemini-consultant agent", but the instructions on line 34 use just "gemini" as the command name. This discrepancy may cause confusion or execution errors when users follow the examples.

Clarify whether the agent should be named gemini, gemini-consultant, or similar. Update lines 12 and 19 to match the actual command name used in the shell instructions (line 34):

- assistant: 'Let me use the gemini-consultant agent to get expert feedback on this refactoring plan before we proceed.'
+ assistant: 'Let me consult with gemini to get expert feedback on this refactoring plan before we proceed.'
- assistant: 'Now let me consult with gemini to review this implementation and see if there are any improvements or issues I should address.'
+ assistant: 'Now let me consult with gemini to review this implementation and see if there are any improvements or issues I should address.'
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
description: |
Use this agent when you need expert feedback on your plans, code changes, reviews, or problem-solving approach.
This agent should be used proactively during development work to validate your thinking and discover blind spots.
Examples:
<example>
Context: User is working on a complex refactoring task and has outlined their approach.
user: 'I am planning to refactor the authentication system by moving from JWT to session-based auth. Here is my plan: [detailed plan]'
assistant: 'Let me use the gemini-consultant agent to get expert feedback on this refactoring plan before we proceed.'
<commentary>Since the user has outlined a significant architectural change, use the gemini-consultant agent to validate the approach and identify potential issues.</commentary>
</example>
<example>
Context: User has implemented a new feature and wants to ensure it is robust.
user: 'I have implemented the new caching layer. Here is what I did: [implementation details]'
assistant: 'Now let me consult with gemini to review this implementation and see if there are any improvements or issues I should address.'
<commentary>After completing implementation work, use the gemini-consultant agent to get expert review and suggestions for improvement.</commentary>
</example>
description: |
Use this agent when you need expert feedback on your plans, code changes, reviews, or problem-solving approach.
This agent should be used proactively during development work to validate your thinking and discover blind spots.
Examples:
<example>
Context: User is working on a complex refactoring task and has outlined their approach.
user: 'I am planning to refactor the authentication system by moving from JWT to session-based auth. Here is my plan: [detailed plan]'
assistant: 'Let me consult with gemini to get expert feedback on this refactoring plan before we proceed.'
<commentary>Since the user has outlined a significant architectural change, use the gemini-consultant agent to validate the approach and identify potential issues.</commentary>
</example>
<example>
Context: User has implemented a new feature and wants to ensure it is robust.
user: 'I have implemented the new caching layer. Here is what I did: [implementation details]'
assistant: 'Now let me consult with gemini to review this implementation and see if there are any improvements or issues I should address.'
<commentary>After completing implementation work, use the gemini-consultant agent to get expert review and suggestions for improvement.</commentary>
</example>
🤖 Prompt for AI Agents
In .claude/agents/feedback.md around lines 3 to 21, there is a naming
inconsistency: lines 12 and 19 say "gemini-consultant agent" while the shell
instruction on line 34 uses "gemini". Pick the canonical command name (prefer
using "gemini" to match line 34) and update lines 12 and 19 to use that same
name (e.g., "gemini agent"); if you decide on a different canonical name
instead, update line 34 to match; ensure all examples and any brief commentary
reference the identical agent name.

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openshift-ci bot commented Oct 29, 2025

@miyadav: all tests passed!

Full PR test history. Your PR dashboard.

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@theobarberbany
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This is really annoying, as you're right - yaml isn't rendering correctly. However, this is exactly what claude spits out and seems to give the best performance 🤣

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/lgtm

@openshift-ci openshift-ci bot added the lgtm Indicates that a PR is ready to be merged. label Nov 3, 2025
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5 participants