ci-troubleshooting

Diagnose GitHub Actions CI failures with a structured observe-to-validate workflow.

10|Updated Dec 15, 2014

Search Tags:#automation #testing #debugging #troubleshooting #systematic #github-actions #ci

Ready to run

npx skills add https://github.com/baleen37/dotfiles --skill ci-troubleshooting

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ci-troubleshooting
Source: https://github.com/baleen37/dotfiles/tree/main/users/shared/.config/claude/skills/ci-troubleshooting
Command: npx skills add https://github.com/baleen37/dotfiles --skill ci-troubleshooting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the frustration and wasted time from guessing at GitHub Actions CI failures by providing a structured, systematic approach that ensures you address the actual root cause.

Core Features & Use Cases

Systematic Debugging: Follows a proven 5-step workflow from observation to validation
Failure Clustering: Identifies when multiple failures share a single root cause
Use Case: When your team's CI pipeline suddenly fails with multiple test errors after a recent commit, use this Skill to quickly identify the triggering commit and fix the underlying issue rather than debugging each test individually.

Quick Start

Use the ci-troubleshooting skill to analyze the recent GitHub Actions failures in this repository and guide me through the systematic debugging process.

Frequently Asked Questions about ci-troubleshooting

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I systematically debug GitHub Actions CI failures?▼

Systematically debug GitHub Actions failures using a structured Observe → Cluster → Reproduce → Fix → Validate workflow. This approach identifies the actual root cause by observing logs within 30 seconds, clustering related failures, reproducing locally within 2 minutes, implementing a fix, then validating across local, branch CI, and main environments with prescribed commands.

Can I quickly identify which commit triggered my GitHub Actions test failures?▼

Yes. This workflow guides you to identify the triggering commit by clustering multiple failures to a single root cause, then validating the fix across branch CI and main. This eliminates debugging each test individually and pinpoints the exact commit causing the pipeline break.

What's the fastest way to fix a GitHub Actions build or test failure?▼

Use a non-hypothesis-driven workflow with fixed time budgets: 30 seconds to observe logs, 30 seconds to cluster failures, 2 minutes to reproduce locally. This systematic approach moves directly from observation to root cause identification, then validation through local, branch CI, and main tier environments.

Do I need to debug each failing test individually in GitHub Actions?▼

No. This workflow identifies when multiple test failures share a single root cause through failure clustering, so you fix the underlying issue once rather than addressing each test separately. Multi-tier validation ensures the fix works before merging to main.

How do I validate a GitHub Actions fix before merging to main?▼

Validate fixes through a three-tier process: reproduce and fix locally, verify the fix passes on your branch CI pipeline, then confirm it passes on main. Prescribed commands for each tier ensure the root cause is actually resolved before integration.

What GitHub Actions failures can this systematic approach handle?▼

This workflow applies to build, test, dependency, timeout, and infrastructure failures in GitHub Actions. The observation and clustering steps identify the root cause across these failure categories, enabling targeted fixes rather than guessing at solutions.