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gh-fix-ci▌

tech-leads-club/agent-skills · updated May 23, 2026

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$npx skills add https://github.com/tech-leads-club/agent-skills --skill gh-fix-ci
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summary

Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions. Uses `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treats external providers (for example Buildkite) as out of scope and reports only the details URL. Do NOT use for addressing PR review comments (use gh-address-comments) or general CI outside GitHub Actions.

skill.md
name
gh-fix-ci
description
Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions. Uses `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treats external providers (for example Buildkite) as out of scope and reports only the details URL. Do NOT use for addressing PR review comments (use gh-address-comments) or general CI outside GitHub Actions.
metadata
author: github.com/openai/skills version: '1.0.0'

Gh Pr Checks Plan Fix

Overview

Use gh to locate failing PR checks, fetch GitHub Actions logs for actionable failures, summarize the failure snippet, then propose a fix plan and implement after explicit approval.

  • If a plan-oriented skill (for example create-plan) is available, use it; otherwise draft a concise plan inline and request approval before implementing.

Prereq: authenticate with the standard GitHub CLI once (for example, run gh auth login), then confirm with gh auth status (repo + workflow scopes are typically required).

Inputs

  • repo: path inside the repo (default .)
  • pr: PR number or URL (optional; defaults to current branch PR)
  • gh authentication for the repo host

Quick start

  • python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "<number-or-url>"
  • Add --json if you want machine-friendly output for summarization.

Workflow

  1. Verify gh authentication.
    • Run gh auth status in the repo.
    • If unauthenticated, ask the user to run gh auth login (ensuring repo + workflow scopes) before proceeding.
  2. Resolve the PR.
    • Prefer the current branch PR: gh pr view --json number,url.
    • If the user provides a PR number or URL, use that directly.
  3. Inspect failing checks (GitHub Actions only).
    • Preferred: run the bundled script (handles gh field drift and job-log fallbacks):
      • python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "<number-or-url>"
      • Add --json for machine-friendly output.
    • Manual fallback:
      • gh pr checks <pr> --json name,state,bucket,link,startedAt,completedAt,workflow
        • If a field is rejected, rerun with the available fields reported by gh.
      • For each failing check, extract the run id from detailsUrl and run:
        • gh run view <run_id> --json name,workflowName,conclusion,status,url,event,headBranch,headSha
        • gh run view <run_id> --log
      • If the run log says it is still in progress, fetch job logs directly:
        • gh api "/repos/<owner>/<repo>/actions/jobs/<job_id>/logs" > "<path>"
  4. Scope non-GitHub Actions checks.
    • If detailsUrl is not a GitHub Actions run, label it as external and only report the URL.
    • Do not attempt Buildkite or other providers; keep the workflow lean.
  5. Summarize failures for the user.
    • Provide the failing check name, run URL (if any), and a concise log snippet.
    • Call out missing logs explicitly.
  6. Create a plan.
    • Use the create-plan skill to draft a concise plan and request approval.
  7. Implement after approval.
    • Apply the approved plan, summarize diffs/tests, and ask about opening a PR.
  8. Recheck status.
    • After changes, suggest re-running the relevant tests and gh pr checks to confirm.

Bundled Resources

scripts/inspect_pr_checks.py

Fetch failing PR checks, pull GitHub Actions logs, and extract a failure snippet. Exits non-zero when failures remain so it can be used in automation.

Usage examples:

  • python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "123"
  • python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "https://github.com/org/repo/pull/123" --json
  • python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --max-lines 200 --context 40
how to use gh-fix-ci

How to use gh-fix-ci on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add gh-fix-ci
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/tech-leads-club/agent-skills --skill gh-fix-ci

The skills CLI fetches gh-fix-ci from GitHub repository tech-leads-club/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/gh-fix-ci

Reload or restart Cursor to activate gh-fix-ci. Access the skill through slash commands (e.g., /gh-fix-ci) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client with skill support
  • ›Clear understanding of task or problem to solve
  • ›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • ⚠Expecting perfect results without iteration
  • ⚠Not providing enough context in prompts
  • ⚠Using skill for tasks outside its intended scope
  • ⚠Accepting outputs without review and validation

Best Practices▌

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • −Don't use without understanding skill limitations
  • −Don't skip validation of outputs
  • −Don't share sensitive information in prompts
  • −Don't expect skill to replace human judgment

💡 Pro Tips

  • ★Be specific about desired format and style
  • ★Ask for multiple options to choose from
  • ★Request explanations to understand reasoning
  • ★Combine AI efficiency with human expertise

When to Use This▌

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path▌

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.6★★★★★27 reviews
  • ★★★★★Noor Zhang· Dec 28, 2024

    Keeps context tight: gh-fix-ci is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Mia Sethi· Nov 19, 2024

    Registry listing for gh-fix-ci matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Min Shah· Nov 11, 2024

    Useful defaults in gh-fix-ci — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Neel Taylor· Oct 10, 2024

    gh-fix-ci reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Min Brown· Oct 2, 2024

    I recommend gh-fix-ci for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Oshnikdeep· Sep 25, 2024

    gh-fix-ci is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Isabella Abebe· Sep 21, 2024

    Solid pick for teams standardizing on skills: gh-fix-ci is focused, and the summary matches what you get after install.

  • ★★★★★Benjamin Dixit· Aug 20, 2024

    Solid pick for teams standardizing on skills: gh-fix-ci is focused, and the summary matches what you get after install.

  • ★★★★★Ganesh Mohane· Aug 16, 2024

    Keeps context tight: gh-fix-ci is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Isabella Farah· Aug 12, 2024

    gh-fix-ci has been reliable in day-to-day use. Documentation quality is above average for community skills.

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