tjboudreaux/cc-thinking-skills

thinking-via-negativa

Use when the reflex is to add a feature, layer, or process.

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-via-negativa

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.

Via Negativa

Improve by subtraction before addition. Prefer removing harm, waste, and nonessential complexity; add only when a demonstrated need remains after removal candidates are exhausted.

When to Use

  • About to add a feature, abstraction, dependency, process, or control to fix a problem.
  • Simplifying a system or workflow where complexity is the tax.
  • Prioritizing by deciding what not to keep, build, or maintain.
  • Performance or reliability work where eliminating a bad path beats bolting on mitigation.

When NOT to Use

  • Load-bearing controls: auth, validation, tests, rate limits, retries, safety checks — presume necessary until proven dead.
  • A demonstrated requirement that cannot be met by removal or simplification.
  • Aesthetic minimalism without evidence of non-use or net harm.
  • Irreversible deletion without a rollback path when impact is unknown.

Procedure

  1. Pause the add reflex. State the goal and the proposed addition in one line.
  2. Ask the subtraction question first. List what could be removed or stopped to achieve the same goal with less surface area.
  3. Catalog candidates with evidence. Prefer unused, redundant, high-cost/low-value, or harmful elements. Require usage, call-graph, metrics, or experiment evidence — not taste.
  4. Apply the irreversibility guard. Classify reversible vs hard-to-restore; identify dependents; refuse deleting unproven mystery guards. Plan staged removal or flag when risk is non-trivial.
  5. Remove the safest high-value candidate first. Subtract, monitor, and verify absence of needed behavior before the next removal.
  6. Add only if the goal still fails. If subtraction cannot meet the need, add the minimum change and record why removal was insufficient.
  7. Stop when the goal is met by absence, or remaining candidates fail the irreversibility/evidence bar and a minimal addition is justified.

Stop condition: Goal achieved via removal, or residual need documented after evidence-backed subtraction failed.

Output

text
Goal: <desired outcome>
Proposed add (if any): <thing>
Removal candidates: <element — evidence — risk — reversible?>
Action: remove <X> | staged remove <X> | add minimal <Y> because <why removal failed>
Verification plan: <how absence/success is checked>
Do-not-touch: <load-bearing items preserved>

Verification

  • Falsify if something was deleted without non-use/harm evidence, or a safety control was removed as "complexity."
  • Falsify if an addition shipped without a prior subtraction pass on the same goal.
  • Over-application guard: do not delete for line-count or purity when the element is load-bearing or the need is demonstrated.
같은 저장소의 Skills

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