What is the benefit of the task-based workflow?

The sequential task chain ensures the AI doesn't skip critical steps like reproduction or planning, forcing a disciplined approach that results in higher quality, minimal code changes.

Does it work with any programming language or framework?

Yes. It includes a Discovery Phase that scans your project files (like CLAUDE.md, package.json, or Makefiles) to identify your specific test and lint commands automatically.

Can it handle bugs that I haven't written a test for yet?

Absolutely. Phase 1 of the workflow specifically focuses on creating a minimal failing test case to reproduce the reported symptoms before any fix is attempted.

How does this skill ensure a bug is actually fixed?

The skill uses a mandatory 'Stop Hook' that automatically runs the originally failing test and the full regression suite. If the reproduction test still fails or new errors are introduced, it blocks completion.

Systematic Bug Fixer

Name: Systematic Bug Fixer
Author: mgiovani

bymgiovani

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安全与测试

Resolves software defects through automated test-driven reproduction, root cause analysis, and rigorous regression verification.

The fix-bug skill implements a disciplined, five-phase debugging workflow that ensures software defects are addressed at their root rather than just their symptoms. By enforcing a test-driven approach, it requires a reproducing test case before any code changes are made, preventing 'hallucinated' fixes. The skill automatically discovers project-specific testing and linting commands, utilizes parallel sub-agents for deep impact analysis, and features a mandatory quality gate that verifies the fix against the original failure and the full test suite before completion.

主要功能

012 GitHub stars

02Strict sequential task management for complex, multi-file debugging sessions

03Test-driven reproduction requirements to confirm bugs before implementation

04Automated 'Stop Hook' verification to prevent regressions and incomplete fixes

05Multi-agent root cause analysis using Haiku for token-efficient code exploration

06Automated project discovery for testing, linting, and debugging workflows

使用场景

01Resolving complex logic errors that span multiple files or system components

02Investigating and fixing failing tests in a CI/CD pipeline environment

03Debugging user-reported issues by creating minimal reproduction test cases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mgiovani/cc-arsenal fix-bug

For use in Claude.ai and ChatGPT

Download Skill