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Github issue manager

Skill jjanuszczak/margo/skills/github-issue-manager

Margo is a lightning-fast, Hugo-inspired presentation engine that compiles pure Markdown into beautifully styled, highly scriptable slide decks built for developers and AI agents.

Install
npx -y skills add jjanuszczak/margo --skill github-issue-manager

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  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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Create GitHub issues and development branches. Use when the user wants to start work on a bug, feature (enhancement), or documentation task and needs a structured way to track it.

SKILL.md

2.0 KB, as published. Nobody here has run it

GitHub Issue Manager

This skill automates the creation of GitHub issues and the setup of local development branches.

Workflow

  1. Create Issue & Branch: Run the manage_issue.py script to create a GitHub issue with appropriate labels and switch to a new branch. 
    python3 .gemini/skills/github-issue-manager/scripts/manage_issue.py "Title" "Description" --type <bug|enhancement|documentation>

Instructions

  • Issue Types:
    • bug: For reporting errors or unexpected behavior.
    • enhancement: For new features or improvements.
    • documentation: For updates to READMEs, guides, or site content.
  • Branch Naming: The script generates a concise branch name in the format type/abbreviated-title.
    • enhancement maps to feature/
    • bug maps to bug/
    • documentation maps to documentation/
  • Requirements: Requires the gh (GitHub CLI) to be installed and authenticated.

Scripts

  • scripts/manage_issue.py: The core automation script.

Self-Evaluation & Correction

You MUST autonomously verify every issue management task:

  1. Run Evaluation Suite: python3 .gemini/skills/github-issue-manager/evals/runner.py <issue_type> "<title>"
  2. Analyze Report: Read results in .gemini/skills/github-issue-manager/evals/reports/latest_results.json.
  3. Self-Correction Loop:
    • Attempt 1: If any checks FAIL (e.g., branch not created, issue missing), analyze the error and attempt to fix the issue.
    • Attempt 2: One final targeted fix and re-run.
  4. Escalation: If still failing after 2 attempts, stop and present the failure report to the user.

<AVAILABLE_RESOURCES>

  • Evaluation Runner: .gemini/skills/github-issue-manager/evals/runner.py </AVAILABLE_RESOURCES>

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