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.
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。
Use when source material must be transformed into a compact, evidence-aware model for learning, decisions, or an Obsidian concept note.
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_contract> <input>Source-grounded material, original question, learning or decision goal, audience, and destination.</input> <output>An eight-part evidence-aware mental model separating facts, mechanisms, conflicts, hypotheses, decisions, and action.</output> <done>Each material claim retains provenance and uncertainty, and one bounded next action answers the original question.</done> <non_goals>Inventing missing claims, erasing contradictions or provenance, or treating interpretation as source fact.</non_goals>
Compile information into a decision-ready mental model. Compression must preserve provenance, uncertainty, contradiction, and the original question.
Provide: source material, original question, intended decision or learning goal, and preferred destination. Optional: existing wiki concepts to compare.
Identify the source boundary, original question, audience, and required fidelity. Label direct source claims, external facts, and analyst inferences before synthesis.
</intake><unknowns_gate>
If the source is inaccessible, truncated, or missing the material needed to answer the question, return INSUFFICIENT_EVIDENCE. Ask one probe only when its answer changes the compile structure; otherwise proceed with explicit unknowns.
</unknowns_gate>
<execute>Produce eight compact sections:
Prefer one durable concept note over several thin notes. Preserve source links or block references; do not rewrite immutable source notes.
</execute> <evaluate>Verify that every material conclusion traces to evidence or is labeled inference; the original question is answered; contradictions remain visible; and the action follows from the model. Remove summaries that merely restate the source without changing understanding.
</evaluate>NEEDS_INPUT: the intended question or audience is absent and materially changes the output.INSUFFICIENT_EVIDENCE: the source cannot support the requested compile.VERIFY_FAILED: a conclusion lacks traceable evidence; downgrade it to hypothesis or remove it.Return status, result (the eight-section compile), evidence (source locators), unknowns, and next_action.
</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.
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。
Use when designing or refactoring a model-native engineering workflow with bounded autonomy, probes, custom evaluation, durable state, and verified write-back.
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。
Use when property-service operations need an AI plus ontology plus DMAIC design for work orders, dispatch, quotes, evidence, CTQ metrics, and control dashboards.
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。
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.
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。
Use when a goal must be converted into a repeatable behavior, cue, SOP, review cadence, and identity-aligned reinforcement.
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。
Use when a long-running agent task needs context budgeting, checkpointing, compaction, retrieval, or capability-based model routing.
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。