Review candidate learnings in Claude Code's native auto memory (`~/.claude/projects/<project>/memory/`, machine-local) 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.
Install
npx skillscat add pedrohcgs/claude-code-my-workflow/promote-memory Install via the SkillsCat registry.
The /promote-memory skill reviews candidate learnings in Claude Code's native auto memory and runs them through a five‑critic council evaluating generality, staleness, redundancy, evidence, and format; a majority vote (3 of 5) moves the entry to MEMORY.md. It is used for periodic memory maintenance or when a user requests promotion of learnings to the shared memory.
/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.- native auto memory (
~/.claude/projects/<project>/memory/— machine-local, typeduser/feedback/project/reference, no size cap on topic files) — 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
/looptask. Wire/loop monthly /promote-memory allif 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 let auto memory record it; let it sit until the next council runs. - For deleting stale entries. Use
/learn --revokeor manual edit./promote-memoryonly 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 (Agent 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 -ron 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 Xwith 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 → rightfor 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 it in auto memory.
Steps
Step 1: Read candidate entries
If $ARGUMENTS is all, read every [LEARN:*] entry in ~/.claude/projects/<project>/memory/. 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/Grepthe 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 the Haiku tier 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, marks the same entries in their auto-memory topic files 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), the auto-memory topic file 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 — leave it in auto memory 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 the `Agent` tool).
- [`.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).
## Source of candidates (v2.5)
Candidates come from **native auto memory** — `~/.claude/projects/<project>/memory/`. Claude
writes these itself as it works, typed `user` / `feedback` / `project` / `reference`, and the
`MEMORY.md` there is an index, not the content.
The promotion question is unchanged and is the whole point: *would a researcher in a different
field, forking this template, be better off knowing this?* If yes it belongs in the committed
`MEMORY.md`; if it is about this machine, this dataset, or this person's preferences, it stays
local.
**Retired:** `.claude/state/personal-memory.md`. The two-tier idea was right; Claude Code now
ships the local tier natively, so the hand-rolled file is redundant. An existing one still
reads as a plain file, but nothing writes to it.
## The capture gate — before anything is remembered
Promotion decides what becomes *shared* knowledge. This gate decides what is worth recording
**at all**. Five questions; a candidate must pass all five:
1. **Durable** — will this still be true in six months, or is it about today's branch?
2. **Non-obvious** — would a competent person rediscover it in five minutes anyway?
3. **Stable** — does it describe a rule, or a symptom that a fix will erase?
4. **Specific** — is it actionable, or is it a mood? *"Be careful with merges"* is a mood.
5. **Not already captured** — does an existing entry cover it? Extend that one instead.
> **Just-in-case memories are banned.** They pollute the index and make the useful entries
> unfindable. A memory store nobody trusts is a memory store nobody reads.
Promotion from local observation to committed knowledge is a **reviewed act, not an autosave** —
which is why the five-critic council exists and why the user is the final gate even on a
unanimous vote.