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 Detects stale entries, merges duplicates, prunes superseded facts, refreshes the inference layer from the latest verified facts, and produces a weekly curation report.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 write new factual memory (let domain skills do that), do NOT use as a substitute for an actual audit (this is hygiene, not compliance). Success = no duplicates remain, every fact has a last_verified ≤ 14 days, the inference layer matches the fact layer, weekly report saved with curation actions logged.
$npx -y skills add charliehzm/medharness --skill memory-curateInstalls into the current project.
Run `npx skills use "https://github.com/charliehzm/medharness" --skill "charliehzm/medharness/memory-curate"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/charliehzm/medharness" that are relevant to the current task. Run `npx skills add "https://github.com/charliehzm/medharness"` and select the relevant skills, then follow their instructions.