tjboudreaux/cc-thinking-skills

thinking-cynefin

When the right response mode is unclear, classify the cause-effect domain first; decompose disorder.

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Como usar

  1. Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
  2. Consulte no original as ferramentas, credenciais e ambientes necessários.
  3. Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/tjboudreaux/cc-thinking-skills --skill thinking-cynefin

Antes de começar

  • A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
  • Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill

Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.

Cynefin Classification

Classify by cause-effect, then use only the matching response mode. Wrong-domain method is the failure mode.

When to Use

  • Unsure whether to run a playbook, analyze, probe, or stabilize.
  • A method keeps failing and domain mismatch is plausible.
  • A novel or mixed problem needs approach selection before solution work.

When NOT to Use

  • Domain and method are already agreed—execute.
  • Task is finding a specific cause, not choosing an approach.
  • Classification done; switch to the domain method—do not re-label endlessly.
  • Pure mechanical edits with no approach uncertainty.

Procedure

  1. State the unit. Name the decision, incident, or subsystem; if mixed, list separable parts.
  2. Probe cause-effect. Is the link obvious, expert-analyzable, retrospective only, or imperceptible in turbulence? Check predictability, urgency, and probe safety.
  3. Assign one domain per unit:
  • Clear — obvious → Sense → Categorize → Respond with a runbook.
  • Complicated — expert-analyzable → Sense → Analyze → Respond; several valid answers.
  • Complex — emergent → Probe → Sense → Respond with safe-to-fail probes; amplify/dampen signals.
  • Chaotic — no safe sensing time → Act → Sense → Respond; stabilize first.
  • Disorder — unknown → split and classify each part.
  1. Mismatch check. Reject Clear if its runbook fails; Complicated if analysis cannot predict; Complex if probing is unsafe; Chaotic once safe probing becomes possible.
  2. Commit and stop. Output domain + first actions. Re-classify only on evidence of domain shift.

Stop when every unit has one domain, first actions, and a falsifier—or disorder is decomposed.

Output

text
unit: <decision/incident/part>
domain: clear | complicated | complex | chaotic | disorder
evidence: <cause-effect basis>
response_mode: <Sense-Categorize-Respond | Sense-Analyze-Respond | Probe-Sense-Respond | Act-Sense-Respond | decompose>
first_actions: <1-3 concrete steps>
falsifier: <what forces reclassification>
parts: <only if disorder>

Verification

  • Falsify: Reliable prediction → not Complex. No safe probe → Chaotic. Working runbook → Clear.
  • Stop: Stop classifying once the matched action is clear.
  • Over-application guard: Do not call work Complex to avoid analysis or Complicated to avoid a standard fix. One label per unit; decompose multi-domain work.
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