Individual skill
engineer-expertise-extractor
Research and extract an engineer's coding style, patterns, and best practices from their GitHub contributions. Creates structured knowledge base for replicating their expertise.
skills/engineer-expertise-extractor/SKILL.md
Source commit 2482c176372299c92af01f8414a67172f324e8db
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 230
- Repository last updated
- Jan 14, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- engineering Derived category
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# Engineer Expertise Extractor
Extract and document an engineer's coding expertise by analyzing their GitHub contributions, creating a structured knowledge base that captures their coding style, patterns, best practices, and architectural decisions.
## What This Skill Does
Researches an engineer's work to create a "digital mentor" by:
- **Analyzing Pull Requests** - Extract code patterns, review style, decisions
- **Extracting Coding Style** - Document their preferences and conventions
- **Identifying Patterns** - Common solutions and approaches they use
- **Capturing Best Practices** - Their quality standards and guidelines
- **Organizing Examples** - Real code samples from their work
- **Documenting Decisions** - Architectural choices and reasoning