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test-fixing

Group Python test failures by error type and module for systematic fixes.

6|1|Updated Nov 8, 2025
Search Tags:#automation#debugging#pytest#ci-cd#tests#grouping
One-click install
npx skills add https://github.com/LEEI1337/phantom-neural-cortex --skill test-fixing-leei1337
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: test-fixing
Source: https://github.com/LEEI1337/phantom-neural-cortex/tree/main/.claude/skills/test-fixing
Command: npx skills add https://github.com/LEEI1337/phantom-neural-cortex --skill test-fixing-leei1337

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you surface failing tests quickly and fix them in an organized, grouped manner, saving time spent debugging.

Core Features & Use Cases

  • Automated test runs: Run the test suite to identify all failures.
  • Smart error grouping: Group failures by error type and module to prioritize fixes.
  • Systematic fixes: Apply deterministic changes per group and verify outcomes.

Quick Start

Run make test to surface failures. The Skill groups errors by type and module, implement fixes for each group, verify, and then run the full test suite to confirm all tests pass.

Frequently Asked Questions about test-fixing

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

FAQPage Schema
How do I fix failing pytest tests systematically?▼

Fixing failing pytest tests systematically involves running your test suite to identify failures, grouping them by error type and module to prioritize fixes, applying targeted changes to each group, and verifying with focused test runs. This Skill automates that workflow for Python projects managed by Makefile and pytest.

Can I automate test failure diagnosis and fixes across my Python test suite?▼

Yes. Automated test runs identify all failures, then group them by error type, module, and root cause to guide fixes. This Skill applies minimal targeted edits per group, verifies outcomes with focused test runs, and iterates until the full suite passes.

How do I organize and prioritize pytest failures when there are many?▼

Grouping failures by error type and module surfaces patterns across your test suite. This Skill categorizes failures this way so you fix infrastructure issues, API changes, and logic errors systematically rather than addressing failures in isolation.

What's the best way to verify pytest fixes without running the entire test suite each time?▼

Running focused subsets of tests tied to each error group lets you confirm fixes quickly before running the full suite. This Skill verifies each group of fixes with targeted test runs, reducing iteration time.

Does this work with Makefile-managed Python test projects?▼

Yes. This Skill applies to Python test suites managed by Makefile and pytest. It identifies failures, groups them by error type and module, and guides fixes across infrastructure, API changes, and logic issues.

Can I reduce debugging time when multiple pytest tests fail?▼

Yes. Smart error grouping surfaces failures quickly and organizes them by error type and module, eliminating time spent debugging unrelated failures individually. This Skill automates the triage and systematic fix workflow.

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