memory-curate
Use this skill on a weekly cadence and at every change archive to keep the project's tiered memory (MEMORY.md index + per-topic memory files + workspace artifacts under .memory/) coherent and fresh. Detects stale entries, merges duplicates, prunes superseded facts, refreshes the inference layer from the latest verified facts, and produces a weekly curation report. Counteracts the "stale memory commands decisions" failure mode that silently degrades long-running AI Coding sessions. Chinese trigger examples: "记忆刷新", "memory 整理", "刷新 MEMORY.md", "记忆失效检测", "记忆周报", "整理 .memory/". Do NOT use to wr
Profile →npx skills add charliehzm/medharness --skill memory-curate --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Memory Curate The least flashy and most consequential skill in the system. Without it, the project's memory layer slowly accumulates stale guidance that misleads every future AI Coding session. ## Core mental model Memory has **two layers**: - **Facts** — observations grounded in code / docs / decisions at a specific time - **Inferences** — derived claims about how things work / what to do Infer
What does the memory-curate skill do?
Use this skill on a weekly cadence and at every change archive to keep the project's tiered memory (MEMORY.md index + per-topic memory files + workspace artifacts under .memory/) coherent and fresh. Detects stale entries, merges duplicates, prunes superseded facts, refreshes the inference layer from the latest verified facts, and produces a weekly curation report. Counteracts the "stale memory commands decisions" failure mode that silently degrades long-running AI Coding sessions. Chinese trigger examples: "记忆刷新", "memory 整理", "刷新 MEMORY.md", "记忆失效检测", "记忆周报", "整理 .memory/". Do NOT use to wr
How do I install it?
Run `npx skills add charliehzm/medharness --skill memory-curate --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From charliehzm/medharness, a repository with 96 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.