PMs are putting CLAUDE.md, skills and evals in GitHub: 3 repos, 4 workflows only git enables
aakashgupta · x · 2026-10-22
The author (with Google Senior AI PM Shubham Saboo) argues that a PM's best AI assets are no longer code but CLAUDE.md, skills and eval criteria — files that decide output quality and quietly drift every week. Putting them in GitHub turns that chaos into a system.
Three repos cover 90% of PM work:
- pm-workspace (private): CLAUDE.md, skills, autoresearch configs; clone back in 2 minutes if your laptop dies.
- pm-shared-tools (public): skills with personal context stripped out, forkable by your team — your public reputation.
- project-[feature] (per initiative): PLANNING.md, eval criteria, code — a full record of what shipped and why.
The daily rhythm is six English words — pull, branch, commit, push, PR, merge — all spoken to Claude Code in plain language.
Four workflows only version control enables:
- Skill rollback: git checkout [hash] restores a PRD reviewer you made worse, and the diff shows what broke it.
- CLAUDE.md pruning: files over 200 lines cause Claude to deprioritize instructions; a monthly diff reveals drift.
- Autoresearch log: a Karpathy-style loop runs 100 overnight iterations, committing wins and reverting losses — git log becomes the experiment log.
- Eval versioning: when a score drops from 0.82 to 0.71, git log tells you whether the model regressed or someone moved the criteria.
The underlying shift: when building costs near zero, your edge isn't the prompt that worked once but the memory of which wording helped — GitHub is that memory layer.
Related event: PMs Should Version-Control CLAUDE.md and Skills on GitHub(2 posts)→
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