From memory-bank
Reports on all archived conversations — projects, decisions, patterns, activity timeline — and triggers backfill for unanalyzed sessions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/memory-bank:analyzing-all-conversationsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
**Core principle:** Numbers come from the deterministic engine (`memory-bank analyze`), meaning comes from fact/ontology search. Never fill gaps with guesses — report actual coverage numbers.
Core principle: Numbers come from the deterministic engine (memory-bank analyze), meaning comes from fact/ontology search. Never fill gaps with guesses — report actual coverage numbers.
PLUGIN_ROOT is two directories up from this skill's base directory
(the directory containing cli/, scripts/, skills/).
node "$PLUGIN_ROOT/cli/memory-bank.js" analyze
Options: --top <n> (projects, default 15), --months <n> (timeline, default 12),
--json (for scripting), --out <file> (save report).
This returns, without any LLM calls:
If the report recommends backfill:
| Gap | Action |
|---|---|
| Pending fact extraction | node "$PLUGIN_ROOT/scripts/backfill-extract-worker.js" --max 500 — run in background. Requires ANTHROPIC_API_KEY. Lock-protected and idempotent: safe to start, exits immediately if another worker is already running. |
| Missing summaries | node "$PLUGIN_ROOT/cli/memory-bank.js" sync — generates up to 10 summaries per run; repeated syncs (each session start) drain the queue gradually. |
Do NOT wait for backfills to finish. They are long-running background work.
Report them as "진행 중 (백그라운드)" with the log location
(~/.config/superpowers/conversation-index/backfill-extract.log), never as "완료".
Enrich the numbers with meaning using MCP tools (do not re-derive numbers by hand):
graph_stats — knowledge graph overview (domains, relations)search_facts with category: "decision" / "pattern" / "constraint" — representative facts for the top projectscross_project_insights — transferable lessons relevant to the current projectThen present the final report in the user's language (Korean → 존댓말) with this structure:
analyze is read-only; backfill workers only add facts/summaries, never delete.--out files.2plugins reuse this skill
First indexed Jul 7, 2026
npx claudepluginhub jung-wan-kim/memory-bankRecalls, searches, and analyzes past conversations using recent_chats.py, search_conversations.py, and lenses like retro, find-gaps, extract-decisions for context restoration and retrospectives.
Generates progression reports from AI-collaboration session data using a v2 level system with 6 axes across 7 levels (0.5 increments).
Analyzes your meeting transcripts to surface talk-time ratio, filler words, hedging language, monologue length, and energy patterns. Compares winning vs losing meetings when tagged, providing evidence-based self-coaching feedback.