ci-fix

Diagnose and fix GitHub Actions CI pipeline failures from failed run logs.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/ArthTech-AI/Marketplace-extensions --skill ci-fix-arthtech-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ci-fix
Source: https://github.com/ArthTech-AI/Marketplace-extensions/tree/main/tests/fixtures/claude-setups/poweruser/.claude/skills/ci-fix
Command: npx skills add https://github.com/ArthTech-AI/Marketplace-extensions --skill ci-fix-arthtech-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you quickly diagnose and repair CI pipeline failures so broken builds can be restored without manually digging through every log line.

Core Features & Use Cases

  • Failed Run Analysis: Reviews failed GitHub Actions logs to find the exact step and error message causing the breakage.
  • Targeted Fixes: Applies focused code or configuration changes instead of broad guesswork.
  • Retry and Escalation Workflow: Re-runs failed jobs and escalates after repeated failures, making it useful for flaky tests, dependency issues, and CI configuration regressions.

Quick Start

Ask the Skill to inspect the latest failed CI run for the current branch and fix the issue, then rerun the job and report whether it passes.

Frequently Asked Questions about ci-fix

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

FAQPage Schema
How do I fix failed GitHub Actions runs automatically?

To fix failed GitHub Actions runs, this Skill reads failed run logs, identifies the exact failing step, applies a targeted code or configuration fix, and reruns the workflow to verify the build passes. It escalates after three unsuccessful retry attempts.

Why does my CI pipeline keep failing on the same step?

Your CI pipeline may fail repeatedly due to flaky tests, dependency issues, or configuration regressions. Analyzing failed GitHub Actions logs helps pinpoint the exact error message, allowing for targeted fixes instead of broad guesswork during troubleshooting cycles.

What is the best way to debug CI build failures from log analysis?

The best way to debug CI build failures is through log-driven debugging that reviews failed GitHub Actions logs to find the exact step and error message, then applies a focused configuration or code fix before rerunning the job.

Does this CI troubleshooting workflow handle flaky tests and dependency issues?

Yes, this CI troubleshooting workflow handles flaky tests and dependency issues by applying targeted fixes and re-running failed jobs. It is designed for repeated retry cycles and escalates automatically after three unsuccessful attempts.

When should I escalate a broken CI build instead of retrying automatically?

You should escalate a broken CI build after three unsuccessful automated retry attempts. This prevents endless loops on persistent build, test, or deployment failures caused by severe configuration regressions or unresolvable dependency issues.