Skip to main content

thinking-ooda

Use under time pressure when the situation is still changing and you must act before certainty — cycle Observe→Orient→Decide→Act on ~70% confidence, then re-observe.

설치로 이동

소스 정보

저장소
tjboudreaux/cc-thinking-skills
최근 소스 활동
2026년 7월 17일 01:39
감지된 SKILL.md 언어
영어
스타
1,323
포크
159

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

소스 파일 검토

설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

SKILL.md 표시 중

SKILL.md
소스 지침 · 읽기 전용 미리보기
name
thinking-ooda
description
Use under time pressure when the situation is still changing and you must act before certainty — cycle Observe→Orient→Decide→Act on ~70% confidence, then re-observe.
disable-model-invocation
true
# OODA Loop **Core rule:** For reversible moves under time pressure, act on ~70% confidence, then immediately re-observe. Cycle faster than the situation compounds; a late perfect plan loses to a fast loop. ## When to Use - Incident response, outage, or ongoing degradation where state is still moving. - Debugging a moving target (intermittent failure, live traffic shift). - Any time-bounded decision where waiting for full certainty costs more than a reversible action. ## When NOT to Use - The situation is static and you have time — deliberate analysis or a hypothesis differential wins. - The next action is irreversible or high blast-radius — raise the evidence bar; 70% is not enough. - You can cheaply localize the cause (read the failing diff, log, or metric) — test that hypothesis directly instead of looping in the dark. - There is no time pressure and no changing environment — OODA adds churn without value. ## Procedure 1. **Observe (time-boxed):** gather the cheapest high-signal state now — metrics, logs, alerts, recent deploys/config, and feedback from the last action. Cap the window; do not collect forever. 2. **Orient:** match observations to a pattern and form **≥2** candidate explanations. Update or discard the mental model when data contradicts it; refuse single-hypothesis lock. 3. **Decide:** pick one reversible action that tests the leading hypothesis. State confidence (~70% threshold for reversible moves), the predicted effect, the observation you will check next, and a time box for that check. 4. **Act:** execute once, decisively, with a known rollback or degrade path. 5. **Re-observe immediately:** compare outcome to prediction within the time box; feed the result into the next Observe. Loop until stable or until the next move is no longer reversible enough for this skill. 6. **Stop condition:** exit the loop when the system is stable, the remaining work is static analysis, or the next step requires irreversible commitment — then switch method. ## Output A cycle record (repeat per loop): 1. **Observed** — current signals and what changed since last cycle. 2. **Orientation** — ≥2 hypotheses; which one leads and why. 3. **Decision** — action, confidence, predicted effect, next observation, time box. 4. **Act + result** — what ran and what the immediate re-observe showed. 5. **Loop status** — continue / stable / escalate out of OODA. ## Verification - **Falsify/stop:** if you cannot name a reversible next action and a near-term observation that would refute it, stop looping and gather more evidence or escalate. If re-observe never happens after act, the loop is broken — fix that before another action. - **Over-application guard:** do not OODA static design work, irreversible launches, or cases where a single cheap localization check ends the uncertainty. Do not wait for 100% confidence on reversible mitigations under active incident pressure.
GitHub에서 보기