tjboudreaux/cc-thinking-skills

thinking-bounded-rationality

Use when search or investigation could run forever.

소스 보기

사용 방법

  1. 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
  2. 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
  3. 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/tjboudreaux/cc-thinking-skills --skill thinking-bounded-rationality

시작 전 확인

  • 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
  • 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서

원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.

Bounded Rationality

Under finite tool, context, and time budgets, stop at the first option that meets a predeclared aspiration level. Optimize only when the good-to-best gap is worth the remaining budget.

When to Use

  • Search or option comparison has no natural endpoint and could consume the turn budget.
  • Multiple options would clear the requirement and further comparison has diminishing returns.
  • The decision is reversible or low-stakes relative to more search.
  • You are gathering context beyond what the decision needs to ship.

When NOT to Use

  • Irreversible or high-stakes choices (data loss, security, migrations, public commitments) where the good-to-best gap is material.
  • Correctness gates: tests, security checks, and "did the fix work?" need the right answer, not a sufficient-looking one.
  • One cheap lookup would settle the fact — do it; do not satisfice past it.
  • The aspiration level cannot be stated — clarify the requirement first.

Procedure

  1. State decision and budget. Name the choice, residual tool/context/time budget, and reversibility.
  2. Set aspiration before searching. Write concrete pass/fail criteria for "good enough." Do not evaluate until the threshold is explicit.
  3. Search sequentially. Score options in encounter order against the threshold only. Skip full matrices unless step 1 marked high-stakes/irreversible.
  4. Stop at first adequate. When an option clears every criterion, select it immediately.
  5. Handle search failure without moving the goalposts. If nothing clears after the pre-set cap, preserve the threshold and report no adequate option. Relax only a criterion predeclared as non-load-bearing, record the relaxation, and resume within a new cap; never raise the bar after failure.
  6. Commit. Record choice and residual uncertainty; spend remaining budget on execution, not re-ranking.

Stop condition: First option meets the predeclared aspiration level, or the search cap is exhausted with none adequate.

Output

text
Decision: <choice>
Aspiration: <pass/fail criteria>
Search: evaluated N; stopped at first adequate | cap exhausted
Selected: <option or none>
Residual risk: <what further search might change>
Next spend: <execution step>

Verification

  • Falsify if you kept comparing after an option cleared the threshold, or invented the threshold after seeing winners.
  • Falsify if a correctness gate or irreversible decision was treated as satisficeable.
  • Over-application guard: if one cheap check settles a fact, look it up — do not invoke this skill.
같은 저장소의 Skills

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