Use when work has genuinely independent streams or distinct builder, evaluator, domain, and integration roles that require bounded multi-agent command scaled from 5 to 100+ agents.
中文简介正在准备中。当前显示原文说明。
Use when a PDF, URL, transcript, clipping, or raw note must become source-grounded, linked, governed knowledge in an Obsidian vault.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
<skill_contract> <input>Accessible PDF, URL, transcript, clipping, or note plus vault root, topic, provenance, permissions, and lifecycle context.</input> <output>Immutable source evidence, linked concept and entity updates, navigation and lifecycle changes, and a verified ingest receipt.</output> <done>Touched files pass source, link, block-ref, frontmatter, lifecycle, understanding, and read-after-write checks.</done> <non_goals>Fabricated provenance, source mutation, raw-summary dumping, unsupported rule promotion, or unverified completion.</non_goals>
Use STOW: Source -> Transform -> Organize -> Write-back. The source is evidence, the concept page is current understanding, and the log is the receipt. Load references/stow-contract.md for schemas and lifecycle details.
Provide: source path/URL/note, vault root, intended topic, permissions, and whether the item came from a clipping queue. Optional: path config, prior canonical source, and desired behavior/skill candidate.
<unknowns_gate>
If the source cannot be read, the vault is ambiguous, or provenance cannot be distinguished from mediation, return NEEDS_INPUT or INSUFFICIENT_EVIDENCE. Never fabricate author, date, URL, hash, source id, transcript text, or primary-source confidence.
</unknowns_gate>
<execute>wiki-ingest owns one evidence-to-candidate transaction: immutable source capture, concept candidate, graph update plan, governance handoff, and clipping transition after verified commit. Cross-corpus deduplication, retrieval/index maintenance, and knowledge-debt queues belong to knowledge-ops; health scoring and generalized repair recommendations belong to wiki-lint.
For material promotion or source ambiguity, require independent review and human approval. Prepare a rollback as a file-level diff; rollback may remove derived writes but must not erase original source evidence or logs.
</execute> <evaluate>Read touched files after write. Confirm the source exists, locators resolve, concepts pass the understanding gate, links are meaningful, clipping status is accurate, and logs match actual writes. Downgrade the result to partial when any required check is unavailable.
</evaluate><retry_policy>
max_attempts: 2. Retry only the failed stage after diagnosing path, parser, schema, or link cause. Change strategy before retry; stop on the same signature or NO_PROGRESS. Never duplicate source notes as a retry mechanism.
</retry_policy>
<state_contract>
Persist {run_id, status, attempt, budget, evidence, unknowns, last_error, next_action} plus source identity/risk, idempotency key, writer lease or compare-and-set evidence, vault fingerprint, resolved paths, touched-file ledger, created block refs, contradictions, reconciliation decisions, candidates, approval, clipping transition owner, and verification receipts. Source and log history are append-only.
</state_contract>
NEEDS_INPUT: source or vault identity is ambiguous; ask one minimal probe.INSUFFICIENT_EVIDENCE: the material cannot support the requested claim or concept.BLOCKED_PERMISSION: return proposed writes and paths without claiming mutation.VERIFY_FAILED: a post-ingest check fails; preserve evidence and repair only the failed stage.NO_PROGRESS: repeated failure signature after changed strategy; stop and queue review.BUDGET_STOP: persist coverage and remaining items. max_attempts: 2.Return status, result (created/updated/queued files and understanding delta), evidence (source and lint receipts), unknowns, and next_action including approval or rollback when relevant.
</skill_contract>
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Use when work has genuinely independent streams or distinct builder, evaluator, domain, and integration roles that require bounded multi-agent command scaled from 5 to 100+ agents.
中文简介正在准备中。当前显示原文说明。
Use when designing or refactoring a model-native engineering workflow with bounded autonomy, probes, custom evaluation, durable state, and verified write-back.
中文简介正在准备中。当前显示原文说明。
Use when property-service operations need an AI plus ontology plus DMAIC design for work orders, dispatch, quotes, evidence, CTQ metrics, and control dashboards.
中文简介正在准备中。当前显示原文说明。
Use when a personal or team operating system needs a bounded redesign using Four-C, closed-loop controls, 70/30 allocation, 3B creativity, experiments, and prediction-error learning.
中文简介正在准备中。当前显示原文说明。
Use when a goal must be converted into a repeatable behavior, cue, SOP, review cadence, and identity-aligned reinforcement.
中文简介正在准备中。当前显示原文说明。
Use when source material must be transformed into a compact, evidence-aware model for learning, decisions, or an Obsidian concept note.
中文简介正在准备中。当前显示原文说明。