memory-curate

name	memory-curate
description	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 Detects stale entries, merges duplicates, prunes superseded facts, refreshes the inference layer from the latest verified facts, and produces a weekly curation report.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.
compatibility	Requires read/write of .memory/ tree, optional access to git history (for evidence-of-staleness), optional access to mcp-audit-log (for skill-touched files).
metadata	{"version":"1.0","owner":"memory-curator","category":"knowledge-hygiene","maturity":"production","sop_step":"cross-cutting (weekly + on-archive)","hard_gate":false,"outputs":".memory/MEMORY.md (refreshed) + .memory/curation/weekly_<YYYY-MM-DD>.md"}

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

Inferences depend on facts. If a fact changes and inferences don't update, the AI starts giving advice based on a world that no longer exists.

Fact   (2026-01): "we use PostgreSQL 13, pgvector ext disabled"
Infer  (2026-01): "for vector search, use a separate Milvus instance"
   ↓
Fact   (2026-04): upgraded to PG 16, pgvector enabled        ← changed
Infer  (2026-01): "use a separate Milvus instance"            ← now stale
   ↓
Without curation: AI keeps suggesting Milvus, even though pgvector is now available
With curation:    inference is invalidated → re-derived → suggests pgvector

Your job is to detect and repair these mismatches.

What this skill produces

1. Refreshed .memory/MEMORY.md (the index)
2. Updated individual memory files (with bumped last_verified where applicable)
3. .memory/curation/weekly_<YYYY-MM-DD>.md — the curation report

When NOT to use this skill

Skip for:

• Writing new factual content (that's the producing skill's job — prd-author, openspec-apply-change, etc.)
• Audit/compliance freezing (use audit-snapshot)
• Project setup (no memory yet to curate)

Active context bundle

Always load first

1. This SKILL.md
2. .memory/MEMORY.md — the index itself
3. reference/staleness-detection.md — rules for marking entries stale
4. reference/merge-protocol.md — how to merge duplicates without losing nuance

Load on demand

• reference/inference-rederivation.md — when a fact change invalidates an inference
• reference/git-evidence-protocol.md — when using git log as staleness signal
• All individual .memory/*.md files referenced from MEMORY.md (lazy load per topic)

Workflow

Phase 1 · Index audit

• Parse .memory/MEMORY.md — does every line resolve to an existing file?
• Find files in .memory/*.md not indexed → either index them or recommend deletion
• Find indexed entries with broken paths → fix or remove
• Find duplicate entries (same target, different one-liner) → mark for merge

Phase 2 · Per-file freshness check

For each memory file, look at frontmatter:

• last_verified field present?
• last_verified ≤ 14 days?
• File contents reference any code paths / function names / commit hashes that no longer exist (grep + git log check)?

Bucket each file into:

• Fresh (verified ≤ 14 days, evidence still exists) — no action
• Stale-time (verified > 14 days, evidence still exists) — bump verification or rewrite
• Stale-evidence (verified recent, but referenced artifact gone) — flag for owner review
• Conflict (two files disagree on the same fact) — flag for merge

Phase 3 · Fact / inference reconciliation

Walk fact memory files and inference memory files:

• For each inference, find the facts it depends on (declared in frontmatter derives_from: or inline [ref: FACT_X])
• If any source fact has changed (different version, different last_verified content hash) → mark inference needs-rederive
• For each needs-rederive inference, attempt automatic re-derivation by re-reading current facts; if non-trivial, leave a TODO for human owner

Phase 4 · Merge duplicates

For each pair flagged in Phase 1:

• Read both files
• Identify the more-recent / more-detailed version
• Merge into the survivor (preserve unique nuance from both)
• Replace the redundant entry with a MOVED_TO: <survivor_path> stub
• Update MEMORY.md to point at the survivor

Per reference/merge-protocol.md, never silently delete a fact — always trace it.

Phase 5 · Prune superseded

For files with frontmatter superseded_by: <path>:

• Verify the successor exists and is fresh
• Move the superseded file to .memory/archive/<YYYY-MM>/ (don't delete; audit may need it)
• Update MEMORY.md

Phase 6 · Report

Write .memory/curation/weekly_<YYYY-MM-DD>.md:

# Memory Curation Report — <date>
## Inventory: <N> files, <M> indexed, <K> orphans
## Freshness: <F> fresh, <S> stale-time, <E> stale-evidence
## Merges performed: <list>
## Inferences invalidated: <list with reason>
## Owner action required: <list with @owner + due>
## Health score: <0.0-1.0> (= fresh / total)

Submit to Memory-Curator owner + Skill Owner of memory-curate.

Health score formula

health = (count(fresh) + 0.5 * count(stale-time)) / count(total)
target: ≥ 0.95
red:    < 0.85 — escalate to Tech Committee

Hard gate / soft gate

This skill is soft-gate: a failing curation report does not block coding. But:

• Health score < 0.85 for 2 consecutive weeks → Tech Committee agenda item
• Stale-evidence count > 0 → owner action within the week
• Inferences needs-rederive > 0 → owner re-derivation before they get cited again

Common failure modes

1. Curation = deletion: skill gets aggressive, deletes "looks unused" memory. Lost institutional knowledge. Mitigation: never delete in Phase 5 — only archive. Recovery is one move command.
2. Bump-without-read: skill bumps last_verified without reading content. Memory becomes "permanently fresh" by mechanical update. Mitigation: bump requires evidence — either git-log shows the referenced code still exists, or human owner re-acks.
3. Inference cascade unattended: one fact change invalidates 12 inferences; skill marks all but no human ever rederives. Mitigation: weekly report tracks inference debt; > 5 outstanding triggers escalation.
4. Same-topic split: one memory about "auth flow" sits in two files because two sessions wrote independently. Mitigation: Phase 1 merge detection catches duplicate topic frontmatter; Phase 4 merges.
5. MEMORY.md as a memory itself: people start writing actual facts into MEMORY.md instead of pointing to a file. Mitigation: enforce MEMORY.md = pointers only (one line per entry, < 150 chars).

Integration

• Weekly cron: invoked by Memory-Curator Sub-agent on Monday morning
• On-archive: invoked at end of Step 12 to capture lessons from the just-archived change
• On-request: developer can manually invoke when memory feels off

Output handoff

Returns:

• Path to the weekly report
• Health score
• Outstanding owner actions list
• Suggested next invocation date