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  1. Home
  2. Development
  3. Test Fixing
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Test Fixing

Run tests and systematically fix all failing tests using smart error grouping. Use when user asks to fix failing tests, mentions test failures, runs test suite and failures occur, or requests to make tests pass.

mhattingpete

Core Features

Ready to Use

Quick integration into your workflow with minimal setup

Community Verified

Active open-source community with continuous updates

Completely Free

MIT/Apache licensed for commercial and personal use

Flexible Extension

Customizable and extendable based on your needs

How to Use

1Get Skill File

Download or copy the skill file from the source repository

2Install to Claude

Place the skill file in Claude's skills directory (usually ~/.claude/skills/)。

3Start Using

Restart Claude or run the reload command to load the skill

Tip: Read the documentation and code carefully before first use to understand functionality and permission requirements

Related Tags

#ci-cd#testing

Technical Information

Author
mhattingpete
Category
Development
File Size
2.90 KB
Source Repository
mhattingpete__claude-skills-marketplace
Metadata
Includes YAML metadata
License
MIT

All Skills from open-source community, preserving original authors' copyrights

mhattingpete__claude-skills-marketplace/engineering-workflow-plugin/skills/test-fixing/Skill.md

Why Choose This Skill

Proven benefits and measurable impact

10x

Faster Network Inference

Accelerate GRN reconstruction from days to hours using optimized GRNBoost2 and GENIE3 implementations

50%

Reduced Compute Costs

Lower computational expenses through efficient parallel processing and memory-optimized algorithms

100x

Scalable Data Handling

Process datasets with millions of cells thanks to distributed computing architecture

Use Cases

Perfect for these scenarios

🧬

Disease Mechanism Discovery

Identify key transcription factors driving disease progression in patient cohorts using bulk RNA-seq data

🧫

Cell Differentiation Mapping

Reconstruct regulatory networks controlling stem cell differentiation trajectories from single-cell data

💊

Drug Target Identification

Find novel regulatory nodes to target in cancer therapy by analyzing tumor transcriptomics datasets

🔬

Large-Scale Network Analysis

Process massive single-cell atlases with distributed computing to uncover population-level regulatory patterns

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