pipeline-error-fix

Detect and fix CI/CD pipeline failures with tiered test execution.

Updated Aug 23, 2026

Search Tags:#automation #debugging #pytest #pipeline #ci #test-packaging

Ready to run

npx skills add https://github.com/gitwalter/cursor-agent-factory --skill pipeline-error-fix

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Please help me install this Agent Skill.
Skill: pipeline-error-fix
Source: https://github.com/gitwalter/cursor-agent-factory/tree/main/.cursor/skills/pipeline-error-fix
Command: npx skills add https://github.com/gitwalter/cursor-agent-factory --skill pipeline-error-fix

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a disciplined approach to automatically detect and fix CI/CD pipeline failures by tiering tests and packaging fixes for rapid feedback.

Core Features & Use Cases

Tiered testing strategy: executes fast unit tests, then medium-speed integration checks, and finally slow end-to-end scenarios to localize issues quickly.
Intelligent failure analysis: surfaces the root cause categories (import errors, timeouts, configuration problems) and reproducible commands.
Reproducibility and verification: provides step-by-step commands and workflows to reproduce failures locally and validate fixes.
Use Case: When a PR pipeline fails on GitHub Actions, use the skill to triage and apply targeted fixes with minimal debugging.

Quick Start

Run the quickstart to activate the pipeline-error-fix skill and begin analyzing a failing CI job.

Frequently Asked Questions about pipeline-error-fix

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

FAQPage Schema

How do I fix CI pipeline failures using tiered test execution?▼

To fix CI pipeline failures, tiered test execution runs fast unit tests, then medium integration tests, and finally slow end-to-end tests to quickly localize failure points and provide actionable remediation steps.

How does tiered test packaging isolate the root cause of GitHub Actions failures?▼

Tiered test packaging isolates GitHub Actions failures by executing deterministic tiered test suites that surface root cause categories like import errors and timeouts, alongside reproducible local commands for verification.

Can I reproduce CI pipeline failures locally before pushing a fix?▼

Yes, you can reproduce CI pipeline failures locally because the analysis provides step-by-step commands and structured workflows designed to replicate the exact failing test scenarios and validate your fixes.

What is the best way to triage failing pytest scenarios in a CI pipeline?▼

The best way to triage failing pytest scenarios is enforcing a structured workflow that targets unit, integration, and end-to-end tests sequentially to minimize debugging time and package targeted fixes.

Does this approach work for automating test failure analysis in GitHub Actions?▼

Yes, this approach works for automating test failure analysis in GitHub Actions by orchestrating deterministic test execution to detect failure points and automatically generating actionable remediation guidelines.

Why are my integration tests timing out and how do I debug them in CI?▼

Integration tests may time out due to configuration problems or dependency issues. Debug them in CI by running the tiered medium-speed integration checks to surface the root cause and validate with reproducible commands.