paddleocr-doc-parsing
Use this skill to extract structured Markdown/JSON from PDFs and document images—tables with cell-level precision, formulas as…
ClawMem operational reference for agents at query time — the 3-rule escalation gate, MCP tool routing, the 4 query-optimization levers, pipeline behavior (query vs intent_search), composite scoring, and memory lifecycle (pin/snooze/forget). Use when tuning retrieval,
Claude Code
$ npx -y skills add yoloshii/ClawMem --skill ClawMem --agent claude-code
Codex
$ npx skills add yoloshii/ClawMem --skill ClawMem -a codex -y
Cursor
$ npx skills add yoloshii/ClawMem --skill ClawMem -a cursor -y
Gemini CLI
$ npx skills add yoloshii/ClawMem --skill ClawMem -a gemini-cli -y
GitHub Copilot
$ npx skills add yoloshii/ClawMem --skill ClawMem -a github-copilot -y
OpenCode
$ npx skills add yoloshii/ClawMem --skill ClawMem -a opencode -y
Windsurf
$ npx skills add yoloshii/ClawMem --skill ClawMem -a windsurf -y
name: clawmem description: "ClawMem operational reference for agents at query time — the 3-rule escalation gate, MCP tool routing, the 4 query-optimization levers, pipeline behavior (query vs intent_search), composite scoring, and memory lifecycle (pin/snooze/forget). Use when tuning retrieval, troubleshooting recall quality, or any ClawMem operation beyond the routing already in your global CLAUDE.md / this repo's AGENTS.md. NOT for setup — install / inference-server config / env vars / systemd / indexing config / internals live in AGENTS.md + docs/." allowed-tools: "mcp__clawmem__*" metadata: author: yoloshii version: 2.0.0
**Scope: agent-time operations only** — escalation, tool routing, query tuning, pipeline reasoning, composite scoring, lifecycle. Setup, inference-server config, env vars, systemd units, indexing/collection config, graph internals, and the OpenClaw/Hermes plugins are **deliberately not here** — they live in this repo's [`AGENTS.md`](AGENTS.md) + [`docs/`](docs/) (e.g. [`docs/guides/inference-services.md`](docs/guides/inference-services.md), [`docs/reference/configuration.md`](docs/reference/configuration.md), [`docs/troubleshooting.md`](docs/troubleshooting.md), [`docs/internals/`](docs/internals/)). Kept out to avoid drift between this skill and the package.
Routine memory needs neither this skill nor manual MCP calls — **hooks + the ClawMem routing already in `AGENTS.md` / your global `CLAUDE.md` handle ~90%.** Reach for this skill (and Tier-3 tools) only when that isn't enough.
Two tiers: **hooks** = automatic context flow (surfacing, extraction, compaction survival); **MCP tools** = explicit recall / write / lifecycle. Substrate: QMD retrieval (BM25 + vector + RRF + cross-encoder rerank + query expansion), with SAME (composite scoring), MAGMA (intent + graph), and A-MEM (self-evolving notes) layered on top. Do not call standalone QMD tools.
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Hooks handle ~90% of retrieval at zero agent effort.
| Hook | Trigger | Does | |------|---------|------| | `context-surfacing` | UserPromptSubmit | retrieval gate → profile-driven hybrid search → FTS supplement → file-aware search → snooze/noise filters → relevance admission on the ordering key → tiered injection → `<vault-context>` (+ optional `<vault-facts>` / `<vault-routing>`). Budget/results/vector-timeout/escalation driven by `CLAWMEM_PROFILE`. | | `postcompact-inject` | SessionStart (compact) | re-injects THIS session's pre-compaction state + recent vault decisions, framed as reference data → `<vault-postcompact>` | | `curator-nudge` | SessionStart | surfaces curator actions; nudges when the report is stale | | `precompact-extract` | PreCompact | extracts the last typed request / decisions / file paths / open questions before compaction → the vault's session-keyed `compaction_state` row | | `decision-extractor` | Stop | LLM → observations + contradiction detection + SPO triples from the turns after its cursor, each turn once (v0.41.0) → the session's own decision/antipattern docs | | `handoff-generator` | Stop | per-turn digest (no model) + throttled incremental LLM summary → the session's handoff | | `handoff-generator` | SessionEnd | render-only flush of the handoff's latest turns (v0.41.0) | | `feedback-loop` | Stop | credits each surfaced note once per turn when that turn verifiably names it → access count, utility signal, same-turn co-activations |
**Default behavior:** read injected `<vault-context>` first; if sufficient, answer immediately.
**Hook blind spots (by design):** hooks filter `_clawmem/` artifacts, enforce score thresholds, and cap token budget — **absence in `<vault-context>` does NOT mean absence in memory.** If expected memory wasn't surfaced, escalate to Tier 3. Note the MCP retrieval tools themselves exclude `_clawmem` by default since v0.21.0 — pass `includeInternal: true` when system-internal memory (observations/handoffs/deductions) is the target.
**Profiles:** `speed` / `balanced` (default) / `deep` set the token budget, max results, vector timeout, and `factsTokens`. Only `deep` adds query expansion + reranking to the hook path. (Kept-score ratios / activation floors are consulted only by the eval-only composite control arm, `CLAWMEM_ADMISSION_POLICY=composite` — production admission is the profile-independent relevance policy, v0.38.0.) The profile comes from the `CLAWMEM_PROFILE` environment variable; the host hook `timeout` lives in `~/.claude/settings.json` — see *Operational gotchas* for timeout tuning.
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Escalate to MCP tools ONLY when one of these fires:
1. **Low-specificity injection** — `<vault-context>` is empty or lacks the specific fact the task requires. 2. **Cross-session question** — "why did we decide X", "what changed since last time", "when did we start Y". 3. **Pre-irreversible check** — about to make a destructive / hard-to-reverse change; check the vault for prior decisions first.
All other retrieval is handled by Tier 2 hooks. **Do NOT call MCP tools speculatively.**
**PREFERRED:** `memory_retrieve(query)` — auto-classifies and routes to the optimal backend (query / intent_search / session_log / find_similar / query_plan). Use this instead of manually choosing.
1a. General recall -> query(query, compact=true, limit=20)
Full hybrid: BM25 + vector + expansion + deep rerank. Supports compact, collection,
intent, candidateLimit. BM25 strong-signal bypass skips expansion when top hit >= 0.85
with gap >= 0.15 (disabled when intent is provided).
1b. Causal/why/when/entity -> intent_search(query, enable_graph_traversal=true)
MAGMA intent classification + intent-weighted RRF + multi-hop graph traversal + a bounded
one-hop causal step in BOTH directions (v0.32.0 — the only backward cause→effect reach).
Use DIRECTLY (noOn-device memory for Claude Code, OpenClaw, Hermes, and AI agents. Retrieval-augmented search, hooks, and an MCP server in a single local system. No API keys, no cloud dependencies.
Use this skill to extract structured Markdown/JSON from PDFs and document images—tables with cell-level precision, formulas as…
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