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bazel-contribbazel-contrib/rules_python/.agents/skills/analyze-ci-failure/SKILL.md

analyze-ci-failure

Skill692 starsChanged 6 days agoApache-2.0View on GitHub

Download and analyze a CI failure log to construct an actionable

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When a CI monitoring workflow alerts you to a failed Buildkite job or GitHub check, invoke this skill by running:

    line 7

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

When a CI monitoring workflow alerts you to a failed Buildkite job or GitHub check, invoke this skill by running:

./.agents/skills/analyze-ci-failure/scripts/analyze_ci_failure.py \
  "<job_name>" "<build_id_or_log_url>" "<job_id>" "<your_conversation_id>"

✨ What this Skill Does

  1. Resolves Log: Automatically resolves the Buildkite job download URL or fetches GitHub Actions logs via gh CLI.
  2. Downloads & Ingests: Fetches the full raw CI log file and saves it locally to .agents/skills/analyze-ci-failure/scratch/.
  3. Smart Error Extraction: Scans log lines for critical failure signatures (Traceback, ERROR:, FAILED:, missing packages, compiler aborts, linter errors).
  4. Fix Plan Synthesis: Constructs a beautifully structured Markdown suggested plan on how to resolve the root cause.
  5. Natively Notifies: Dispatches a high-priority summary notification message back to your active agent conversation via agentapi send-message.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

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