| name | promote-memory |
| description | Review candidate `[LEARN]` entries in `.claude/state/personal-memory.md` (gitignored) and run them through a five-critic council in parallel: generality, staleness, redundancy, evidence, format. Majority vote (3+ of 5) promotes the entry to MEMORY.md. Use when user says "promote memory", "review my learnings", "what should graduate to MEMORY.md", "five-critic council", or as monthly memory maintenance. |
/promote-memory — five-critic council for memory promotion
The template's meta-governance.md rule splits memory into two tiers:
MEMORY.md (committed, ≤ 200 lines) — generic learnings that help all forkers..claude/state/personal-memory.md (gitignored, no size cap) — machine-specific and user-specific learnings.
The rule says generic patterns should sync via git; personal patterns stay local. What it doesn't say is who decides which is which. /promote-memory operationalizes the call: spawn five critics in parallel, each reviewing the candidate [LEARN] entries on a single dimension, and promote on majority vote (3+ of 5).
When to use
- Monthly memory maintenance. Personal-memory accumulates faster than MEMORY.md; the council periodically harvests the genuinely generic learnings.
- Before sharing a fork. Someone is about to clone your template — what should they inherit?
- After a large project ships. Lessons from a paper or a course cycle deserve curation before the next project starts adding noise.
- As a
/loop task. Wire /loop monthly /promote-memory all if you want automated proposal cadence (still requires user approval for each promotion).
When NOT to use
- For a single fresh
[LEARN] after a single correction. Just add it to personal-memory.md; let it sit until the next council runs.
- For deleting stale entries. Use
/learn --revoke or manual edit. /promote-memory only promotes; it doesn't demote.
- For project-specific context. That belongs in CLAUDE.md or session logs, not in either memory tier.
The five critics
Each critic runs in a forked context (Task with context=fork) — they don't see each other's verdicts or the user's draft. Each casts one YES/NO vote per candidate entry with a one-sentence rationale.
1. Generality critic
"Would a non-econ forker benefit from this [LEARN] entry — a biology PhD, a sociology postdoc, a CS instructor? If the lesson is specific to your setup (your bibliography path, your machine's TeX install, your discipline's notation), vote NO."
2. Staleness critic
"Does this entry contradict the current state of the codebase? Run grep -r on the file paths, function names, or settings the entry references. If the referenced thing has been renamed, removed, or significantly changed, vote NO — the entry is stale and would mislead a future session."
3. Redundancy critic
"Is this lesson already encoded in MEMORY.md, CLAUDE.md, or an existing rule? Read the relevant files. If yes (even paraphrased), vote NO — duplication erodes the index's signal."
4. Evidence critic
"Does the entry cite the incident, file path, or specific case that motivated it? If the entry is [LEARN:foo] always do X with no anchor to why, vote NO. Future Claude can't judge edge cases without the rationale."
5. Format critic
"Does the entry follow the schema in .claude/rules/meta-governance.md: [LEARN:category] wrong → right for corrections, structured **Why:** + **How to apply:** for feedback/project entries? If it's just a free-form note, vote NO — fix the format first, then re-submit."
Council verdict
Each critic returns YES/NO + rationale. The promotion threshold is majority (3+ YES).
- 5 YES — promote without modification.
- 4 YES — promote with a one-line note about the dissenting concern.
- 3 YES — promote but address the dissenting critics' concerns first (typically: trim, add evidence, fix format).
- 2 or fewer YES — do not promote. Either fix the entry per the dissenting critics' feedback and re-submit, or leave in personal-memory.md.
Steps
Step 1: Read candidate entries
If $ARGUMENTS is all, read every [LEARN:*] entry in .claude/state/personal-memory.md. Otherwise treat $ARGUMENTS as a substring filter (e.g., r-code matches all [LEARN:r-code] entries).
Step 2: Spawn the council
Five Task invocations in parallel, one per critic, each with context: fork:
- Generality critic — context: the candidate entry + a one-paragraph description of who the template's audience is (academic researchers across disciplines).
- Staleness critic — context: the candidate entry + the ability to
Read / Grep the codebase. Should explicitly check any file paths / function names / settings the entry references.
- Redundancy critic — context: the candidate entry + the current
MEMORY.md + CLAUDE.md + relevant rule files.
- Evidence critic — context: the candidate entry only. Vote based on whether the entry self-describes its motivation.
- Format critic — context: the candidate entry +
.claude/rules/meta-governance.md for the schema reference.
Use Haiku 4.5 for all five critics (per .claude/rules/model-routing.md: mechanical-ish review work). The user can override via the agent's model: field if they want Sonnet for the harder calls.
Step 3: Aggregate votes
Collect verdicts. For each candidate entry, compute the vote count + per-critic verdicts.
Step 4: Present the verdicts
For each entry:
## `[LEARN:foo] <summary>`
**Vote:** 4-of-5 YES (promote with note)
| Critic | Vote | Rationale |
|---|:---:|---|
| Generality | YES | ... |
| Staleness | YES | ... |
| Redundancy | YES | ... |
| Evidence | NO | Entry doesn't cite the originating incident. Add a one-line "Incident:" pointer before promoting. |
| Format | YES | ... |
**Recommendation:** Address Evidence critic, then promote.
**Proposed MEMORY.md addition:**
```text
[LEARN:foo] <full proposed text>
### Step 5: User approves the promotions
The user reviews the report and explicitly approves which entries to promote. The skill writes approved entries to MEMORY.md, removes the same entries from personal-memory.md (or marks them with `# promoted YYYY-MM-DD` for audit), and surfaces a summary.
Do **not** auto-promote — even on 5-of-5 YES votes. The user's approval is the final gate.
## Output
- Per-entry council report (verdicts, rationales, recommendations) — to the conversation.
- On approval: MEMORY.md updated (append at appropriate `[LEARN:category]` section), personal-memory.md updated (entry marked promoted).
- A `quality_reports/memory_promotion_<date>.md` audit file recording the full council session for forensics.
## Anti-patterns
- **Auto-promoting on 5-of-5 YES.** Even unanimous critic agreement can be wrong; the user's domain judgment is the final gate.
- **Re-running the council on the same entry repeatedly** hoping for a different result. If 4 critics consistently say NO, the entry doesn't belong in MEMORY.md — file it in personal-memory.md and stop.
- **Skipping the Evidence critic** because the entry "looks obvious." Evidence is what makes the entry portable across forkers; obvious-to-you ≠ obvious-to-them.
- **Demoting via this skill.** It only promotes. Demotion is a manual edit + commit.
## Cross-references
- [`.claude/rules/meta-governance.md`](../../rules/meta-governance.md) — the two-tier memory contract this skill operationalizes.
- [`.claude/agents/promote-memory-council.md`](../../agents/promote-memory-council.md) — the five-critic implementation (one agent file with five role specs, dispatched in parallel via `Task`).
- [`.claude/rules/model-routing.md`](../../rules/model-routing.md) — why critics default to Haiku tier.
- `/learn` (existing skill) — captures new `[LEARN]` entries; pairs with `/promote-memory` (which decides what graduates).
