tkm:auto-research
CommunityAutomate iterative code optimization using machine learning and git history.
System Documentation
What problem does it solve?
This Skill automates the iterative process of code optimization across multiple runs against a measurable metric, learning from git history and allowing automatic rollback of changes to prevent regressions.
Core Features & Use Cases
- Automated Code Optimization: Iteratively optimize code for metrics like test coverage, performance, and bundle size.
- Machine Learning: Uses machine learning to predict the impact of code changes.
- Git Integration: Leverages git history for learning and rollback capabilities.
- Use Case: For example, you can use this Skill to automatically increase test coverage in your codebase by making and testing changes iteratively.
Quick Start
Run the tkm:auto-research skill with the desired goal, scope, and verification command. Example: /tkm:auto-research Goal: Increase test coverage Scope: src/**/*.ts Verify: npx jest --coverage --json | jq '.coverageMap | .. | .s? | to_entries | map(.value) | (map(select(.>0)) | length) / length * 100'
Dependency Matrix
Required Modules
Components
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: tkm:auto-research Download link: https://github.com/khapn-2933/agentic-coding-hands-on/archive/main.zip#tkm-auto-research Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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