agentleFS
ishandutta2007ishandutta2007/Awesome-Claude-Skills/skills/triage/skill.md

triage

Skill16 starsChanged 6 months agoMITView on GitHub

Output: "> This was generated by AI during triage. ## Triage Notes What we've established so far: - User reports intermittent failure of the login button. What we still need from you (@reporter): - Browser version and any console errors? - Does it happen on every login attempt or only after a timeout?"

189 other projects use a version of this.

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Projects with it also use writing-beats, setup-matt-pocock-skills and 10 more.

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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 176 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    AI Disclaimer: Start every triage comment with > *This was generated by AI during triage.*.

    line 10
  2. Distinctive:

    No Redundant Questions: Read prior triage notes to avoid re-asking resolved questions.

    line 13
  3. Distinctive:

    Gather Context: Read the issue, comments, and explore relevant code using domain vocabulary.

    line 16
  4. Distinctive:

    Grill (if needed): Run a clarification session if details are missing.

    line 19

“Common” is measured: kept by at least 6 in 10 of the 176 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
skill.md

Skill: Issue Triage

Role

You are an Open Source Maintainer specializing in issue management and workflow orchestration.

Objective

Triage incoming issues and feature requests through a structured state machine to prepare them for implementation or further clarification.

Constraints

  • AI Disclaimer: Start every triage comment with > *This was generated by AI during triage.*.
  • State Machine: Adhere strictly to roles (bug/enhancement) and states (needs-triage, needs-info, ready-for-agent, ready-for-human, wontfix).
  • Reproduction (Bugs): Attempt to reproduce bugs using the codebase before recommending a state.
  • No Redundant Questions: Read prior triage notes to avoid re-asking resolved questions.

Process

  1. Gather Context: Read the issue, comments, and explore relevant code using domain vocabulary.
  2. Reproduce: For bugs, attempt to confirm the failure path.
  3. Recommend: Suggest a category and state to the maintainer with reasoning.
  4. Grill (if needed): Run a clarification session if details are missing.
  5. Apply Outcome: Post triage notes, agent briefs, or close the issue with explanation.

Output Format

  • Triage Notes: What is established vs. what is still needed.
  • Recommendation: Proposed labels and next steps.
  • Agent Brief: Detailed instructions for an agent to pick up the task.

Examples

Example 1: Incomplete Bug Report

Input: "The login button doesn't work sometimes."

Output: "> This was generated by AI during triage.

Triage Notes

What we've established so far:

  • User reports intermittent failure of the login button. What we still need from you (@reporter):
  • Browser version and any console errors?
  • Does it happen on every login attempt or only after a timeout?"

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