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knowledge-recall

Find and answer from saved Knowledge vault pages with source citations. Use for questions about stored documents, meetings, people, or projects; not for recalling conversation history or searching the web.

日本語の概要は準備中です。原文の説明を表示しています。

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  • SKILL.md5.0 KB
  • references/conventions.md14.3 KB

SKILL.md(原文)

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Recall saved knowledge

Read shared conventions. This workflow is read-only.

  1. Search with knowledge_grep({query}), including for named people, projects and pages whose exact stored identity is not already known: literal words, all by default; try a concise variant, any, or phrase when useful. No embeddings, regex, graph traversal or server-side synthesis is available. Narrow by ontology type/kind when appropriate; use knowledge_records and pagination for an inventory, not a ranked search pretending to be exhaustive.
  2. Use knowledge_lookup({query}) only for an already-known exact record ID, full title or declared alias. It does not perform keyword search. If it returns missing, fall back to knowledge_grep before concluding no relevant record exists. Preserve ambiguous as ambiguity and inspect candidates rather than choosing one.
  3. Inspect relevant hits with knowledge_record. Read enough context to support the answer. Compact metadata is included by default; request includeEvidence: true for source locators, excerpts and attribution support, and metadataView: "full" for arbitrary domain fields. Connections default to compact identities/endpoints/uncertainty; request view: "full" only for richer metadata/evidence, and includeCards: true with full view for prose. Follow body/evidence/connection pagination as needed. Compare the hit's citation hash/revision to the readback. Restart on changes rather than combine incompatible revisions. Use includeReferences only for declared structured connections; prose links do not populate that list automatically.
  4. Answer from the retrieved passages. In Control UI chat, cite readable titles linked to the dedicated Knowledge record page using the shared conventions' chat-link contract. Retain relevant source locators and propagate original evidence, not only the generated summary. Label synthesis and disagreements. Use lifecycle history filters explicitly for historical questions; do not present superseded material as current.
  5. Distinguish no matches from inaccessible, invalid, incomplete or failed reads. Follow result offsets with unchanged filters and, for keyword search, compare index.snapshot. If an API pagination bound prevents exhausting results, narrow the query or state the coverage limit. Do not claim the vault lacks something solely because a short ranked list did not contain it.

Recall itself is read-only. If the selected Knowledge memory policy calls for remembering genuinely new durable information, use knowledge-capture separately. Do not re-save retrieved summaries as new evidence or enrich entities merely because they appeared in an answer.

Temporal questions

Use knowledge_chronicle_day for a day/week, knowledge_chronicle_since for an occurrence range, knowledge_timeline for an entity's dated records or a chosen timeField, and knowledge_chronicle_last_seen for latest dated context. Resolve an entity to a stable page ID first. Dated mentions do not prove attendance. For keyword/inventory queries add since/until and timeField to knowledge_grep or knowledge_records. occurred_at answers when something happened; recorded_at and updated_at answer when records were created/changed. Never substitute one for the other. Resolve relative query dates with the user's timezone, preserving explicit offsets; day queries accept an IANA timezone. Source date-only values stay date-only. Follow nextOffset with unchanged filters and returned snapshot. Temporal eligibility="include_inactive" includes superseded/expired material, never withdrawn records or a reconstruction of past system state. Last-seen uses occurredOnOrBefore for the occurrence cutoff; do not pass asOf or historical. Use includeSources=true for deduplicated source identities on temporal pages. Markdown-only timelines and undated records are not inferred, and no matches do not prove absence.

Focused source reading

Use knowledge_evidence_read with the record id and observed path/sha256 to read an exact retained UTF-8 passage. Supply inclusive startLine/endLine when known. Follow nextCursor with unchanged id/path/hash and omit or repeat line bounds. A null nextCursor completes the passage. In contrast, record.nextEvidenceOffset only completes the citation list; excerptTruncated still requires source reading. The tool verifies bytes and line bounds, not the truth of an interpretation. Use knowledge_attachment for binary originals. Never infer complete review from an excerpt or a successful structural verifier.

Query freshness distinguishes queriedAt from scannedAt; keyword results also have indexedAt. A reused scan retains its observation time. Compare snapshot values only across pages with unchanged query filters and eligibility.

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同じリポジトリのスキル

Create scheduled Knowledge ingestion automations with a verified worker, private-vault authority, and an end-to-end scheduled run. Use when asked to schedule or repair recurring ingestion from any source.

日本語の概要は準備中です。原文の説明を表示しています。

openclaw/knowledge22026年10月21日 更新

Save durable preferences, decisions, project facts, commitments, and lessons cheaply with knowledge_remember, or short notes and page updates with attribution and readback. Use for explicit saves or agent-driven remembering when Knowledge is the selected memory provider.

日本語の概要は準備中です。原文の説明を表示しています。

openclaw/knowledge22026年10月21日 更新

Correct or withdraw specific saved Knowledge claims, explicit relationships, or pages at the user's request, preserving provenance and inspecting affected knowledge. Use for “that's wrong”, “retract that”, or a Knowledge chat reference; not automatic contradiction resolution or physical erasure.

日本語の概要は準備中です。原文の説明を表示しています。

openclaw/knowledge22026年10月21日 更新

Resolve and enrich Knowledge people, companies, projects, and concepts during an authorized ingestion or entity update, with sourced State, timelines, and back-links. Read-only identity questions do not authorize writes.

日本語の概要は準備中です。原文の説明を表示しています。

openclaw/knowledge22026年10月21日 更新

Ingest documents, articles, conversations, or supplied text into Knowledge with retained originals, sourced claims, entity updates, timelines, and cross-links. Routes meetings to knowledge-meeting-ingest and short thoughts to knowledge-capture.

日本語の概要は準備中です。原文の説明を表示しています。

openclaw/knowledge22026年10月21日 更新

Ingest meeting transcripts from any recorder into Knowledge with attendee enrichment, timeline merge, supported decisions and commitments, and verification of substance and sequence. Summary-only input is not a verified meeting ingestion.

日本語の概要は準備中です。原文の説明を表示しています。

openclaw/knowledge22026年10月21日 更新

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