Does it support both frontend and backend testing frameworks?

Yes, it includes specific patterns and repair workflows for Python (Pytest), JavaScript/TypeScript (Jest, Vitest), and E2E tools (Playwright, Cypress).

Which CI/CD platforms are supported by this skill?

While the knowledge base is highly optimized for GitHub Actions signals, the diagnostic logic and framework-specific patterns for Pytest, Jest, and others are compatible with any CI platform that provides text-based logs.

Can this skill fix my code automatically?

Yes. For issues with high confidence scores (>= 80%), such as linting errors or simple test failures, the skill can apply fixes directly. For lower-confidence issues, it provides a detailed analysis for manual review.

How does the skill determine what caused a CI failure?

It uses a multi-factor scoring system that analyzes error signal clarity, file localization, known pattern matching, and stack trace completeness to identify the root cause.

CI Job Analysis

Name: CI Job Analysis
Author: penkzhou

bypenkzhou

•

部署与 DevOps

Diagnoses and resolves CI/CD pipeline failures by identifying error patterns across multiple tech stacks and providing automated fix strategies.

关于

The CI Job Analysis skill empowers Claude to act as a senior DevOps engineer by providing a structured knowledge base for analyzing GitHub Actions and other CI failures. It systematically classifies errors into categories such as test failures, build issues, and configuration errors while utilizing a weighted confidence scoring system to evaluate the reliability of potential fixes. By matching logs against known patterns for tools like Pytest, Jest, Playwright, and TypeScript, the skill streamlines the debugging process and provides clear workflows for both automated remediation and manual troubleshooting.

主要功能

Extensive pattern library for common errors in Pytest, Jest, Vitest, and Playwright.
1 GitHub stars
Automatic tech stack identification for frontend, backend, and E2E environments.
Hierarchical failure classification including tests, builds, linting, and infrastructure.
Integrated repair workflows for resolving linting, type-checking, and snapshot failures.
Weighted confidence assessment to safely determine when to apply automated fixes.

使用场景

Rapidly resolving TypeScript compilation and ESLint errors that block production builds.
Automatically identifying and fixing failing unit tests in a GitHub Actions pipeline.
Debugging complex Playwright E2E timeouts and selector conflicts in CI logs.

关于

主要功能

Extensive pattern library for common errors in Pytest, Jest, Vitest, and Playwright.
1 GitHub stars
Automatic tech stack identification for frontend, backend, and E2E environments.
Hierarchical failure classification including tests, builds, linting, and infrastructure.
Integrated repair workflows for resolving linting, type-checking, and snapshot failures.
Weighted confidence assessment to safely determine when to apply automated fixes.

使用场景

Rapidly resolving TypeScript compilation and ESLint errors that block production builds.
Automatically identifying and fixing failing unit tests in a GitHub Actions pipeline.
Debugging complex Playwright E2E timeouts and selector conflicts in CI logs.