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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.

AI 与智能体1.6kskills/thinking-ooda/SKILL.md

Install

Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.

读取 https://funcoding.ai/skills/tjboudreaux/cc-thinking-skills/thinking-ooda/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

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.

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