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 planning or closing a daily knowledge-compounding cycle across input, cognition, wiki, behavior, creativity, output, and feedback.
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>Date, one priority objective, available time, active project, current inputs, and prior-day evidence.</input> <output>A seven-KR daily cycle linking input, cognition, wiki, behavior, creativity, output, and feedback.</output> <done>Each claimed KR has a durable receipt, and today's feedback changes one explicit next-day action or knowledge state.</done> <non_goals>Seven unrelated priorities, invented completion, activity counting without evidence, or treating scheduled notes as execution.</non_goals>
Run one daily objective through seven linked Key Results. The cycle compounds only when evidence from today changes tomorrow's behavior or knowledge state.
Provide: date, one objective, available time, active project, knowledge inputs, and yesterday's evidence. Optional: a scheduled knowledge-loop note; treat it as input, not proof of execution.
<unknowns_gate>
If priority, available time, or completion evidence is missing, return NEEDS_INPUT with one narrow probe. If the day is constrained, select the minimum cycle rather than fabricating seven completed results.
</unknowns_gate>
<execute>Create seven causally linked KRs:
Each KR needs an artifact or receipt. Keep unfinished work visible; do not convert a scheduled trigger into a success claim.
</execute> <evaluate>At close, mark each KR done, partial, blocked, or skipped from evidence. Check that at least one input became a durable wiki change and one observation changed a future action. Remove vanity metrics and report the bottleneck.
<state_contract>
Persist {run_id, status, attempt, budget, evidence, unknowns, last_error, next_action} plus date, objective, seven KR statuses, artifact links, bottleneck, and tomorrow adjustment. Append receipts; never rewrite historical completion evidence.
</state_contract>
NEEDS_INPUT: no daily objective or time budget can be inferred safely.BLOCKED_DEPENDENCY: a required source, project, or tool is unavailable; complete independent KRs and record the blocker.VERIFY_FAILED: a KR has no artifact or receipt; mark it partial or skipped.BUDGET_STOP: time is exhausted; close the state and select one next action.Return status, result (objective plus seven KR states), evidence (artifact links or receipts), unknowns, and next_action for the next cycle.
</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.