github:pskoett/measuring-ai-proficiency · first committed 2026-01-05 · source · badge
Assess and improve repository AI coding proficiency and context engineering maturity. Use when users ask about: (1) AI readiness or AI maturity assessment, (2) context engineering quality or improvement, (3) CLAUDE.md, .cursorrules, or copilot-instructions files, (4) measuring how well a repo is prepared for AI coding assistants, (5) recommendations for improving AI collaboration, (6) what context
Skill Health: not yet scored
Listed, not yet scored. This skill has no public model test yet. It is in the scoring queue; submitted skills go first, then the most-installed.
Version history
12 commits to this file on GitHub (newest first).
2026-03-24 · commit adfff87 · Move docs to docs/ and add Claude workflow
2026-01-08 · commit edc515b · Update skills and docs with skip_validation_patterns
2026-01-08 · commit cb992fb · Update all documentation with GitHub CLI integration feature
2026-01-07 · commit c8bfb13 · Update all documentation to reference GitHub org discovery script
2026-01-07 · commit 4ff2c43 · Improve recommendations and make verbose output the default
2026-01-07 · commit c2e23fd · Add customize-measurement skill and sync all skill templates
2026-01-06 · commit 70c1602 · Update recommendations with Boris, ClawdBot, and Gas Town patterns
2026-01-06 · commit 888fe42 · Add Cursor skills support (.cursor/skills/)
2026-01-06 · commit b893c10 · Add git commit history as quality indicator
2026-01-05 · commit 99399c7 · Expand to 8 levels aligned with Steve Yegge's model
2026-01-05 · commit d51de2d · Add support for GitHub Copilot and OpenAI Codex skills