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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when an Obsidian knowledge system needs classification, deduplication, retrieval, synchronization, debt queues, or governed Agent/Wiki promotion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
<skill_contract> <input>Vault root, operation, scope, canonical-store rules, permissions, destination, and execution budget.</input> <output>Verified classification, retrieval, deduplication, synchronization, audit, or governed promotion changes with receipts.</output> <done>Canonical Markdown remains authoritative, provenance and immutability are preserved, and representative checks pass.</done> <non_goals>Using vectors as canonical storage, silent provenance merges, automatic semantic rewrites, or one-signal rule promotion.</non_goals>
Operate the wiki as durable disk and governance layer. Markdown pages hold understanding and provenance; indexes, memory, vectors, and dashboards are replaceable access paths.
Provide: vault root, operation (organize, deduplicate, retrieve, sync, audit, promote), scope, destination, permissions, and budget. Load references/storage-governance.md only when designing layers or promotion queues.
Resolve configured paths and identify the canonical store, immutable sources, active execution truth, optional retrieval indexes, and governance queues. Record file counts, scope, and write authority before mutation.
</intake><unknowns_gate>
If canonical ownership, vault identity, or merge authority is ambiguous, return NEEDS_INPUT. Treat semantic similarity as a review signal, not proof that two notes or sources are equivalent.
</unknowns_gate>
<execute>knowledge-ops owns cross-corpus organization, identity reconciliation, retrieval/index state, promotion queues, and knowledge-debt governance. It does not replace wiki-ingest as the owner of a single source-to-candidate transaction, and it does not replace wiki-lint as the read-only health auditor.
Use idempotency keys for machine append operations: derive the key from operation, canonical source identity, target, and run/batch id; append only when the key is absent. Repeated schedules and retries must converge to the same canonical files and one logical receipt.
Automate deterministic counts and index refreshes only. Semantic rewrites, contradiction resolution, and rule promotion remain supervised.
</execute> <evaluate>Compare pre/post counts, inspect merge samples, replay retrieval queries, and verify no immutable source changed. A sync is partial if any canonical file is unindexed; retrieval quality is unproven without representative queries.
</evaluate><state_contract>
Persist {run_id, status, attempt, budget, evidence, unknowns, last_error, next_action} plus canonical paths, operation scope, source identity/idempotency keys, writer lease or compare-and-set evidence, file ledger, merge/reconciliation decisions, debt queues, index receipts, retrieval tests, and promotion candidates. Keep source and merge history append-only.
</state_contract>
NEEDS_INPUT: ownership, merge semantics, or vault identity is unclear.BLOCKED_PERMISSION: a required store or index is inaccessible; continue read-only where useful.VERIFY_FAILED: write, link, sync, or retrieval check fails; preserve canonical state and queue repair.NO_PROGRESS: repeated organization changes no objective metric; stop and report the governing bottleneck.BUDGET_STOP: persist coverage and remaining queue; make no whole-vault claim.Return status, result (organized/retrieved/synced items and decisions), evidence (counts, paths, receipts, queries), unknowns, and next_action with owner and check.
</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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when designing or refactoring a model-native engineering workflow with bounded autonomy, probes, custom evaluation, durable state, and verified write-back.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when property-service operations need an AI plus ontology plus DMAIC design for work orders, dispatch, quotes, evidence, CTQ metrics, and control dashboards.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a goal must be converted into a repeatable behavior, cue, SOP, review cadence, and identity-aligned reinforcement.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when source material must be transformed into a compact, evidence-aware model for learning, decisions, or an Obsidian concept note.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.