Team memory maintenance
Skill meharajM/context-machine/plugins/team-project-memory/skills/team-memory-maintenance
Token-efficient shared project memory skills for developers and AI coding agents.
npx -y skills add meharajM/context-machine --skill team-memory-maintenanceAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Initialize or maintain a git-backed shared project-memory store, including policy, layout, deduplication, contradictions, staleness, retention, and conflict-safe publishing.
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
1.5 KB, 267 tokens by cl100k_base, as published. Nobody here has run it
Team Memory Maintenance
Use for setup or cleanup, not normal debugging.
Default Layout
.agents/project-memory/
├── policy.md
├── entries/<topic>/<entry-id>.md
├── drafts/
└── archive/
Use one learning per file. Do not make every agent rewrite a shared index.
Policy Minimum
Define:
- memory location and repository scope;
- review mode: draft-only, PR allowed, or explicitly controlled auto-publish;
- permitted data classification;
- owners/reviewers;
- retention and archive rules;
- branch and conflict behavior.
Without a policy, use draft-only.
Maintenance
- Find duplicates by normalized
signatureplus overlappingscope; merge evidence instead of duplicating. - Preserve conflicting findings separately; add
contradictslinks and narrow scope. - Use
supersedesfor a better replacement; mark the old entrystale. - Archive low-value stale entries; search archive only as a last resort.
- Never move private-repo knowledge into a public or broader memory store without approval.
- Prefer agent-specific branches and reviewable PRs; never auto-merge unless separately authorized.
Use $team-memory-capture for entry format and $team-memory-search to test retrieval after maintenance.