jshsakura/awesome-opencode-skills

first-principles-thinking

Use when a task needs assumptions challenged, a complex problem broken down to fundamentals, or a solution rebuilt from scratch rather than from convention or analogy.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/jshsakura/awesome-opencode-skills --skill first-principles-thinking

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Instructions

Own first-principles reasoning: reduce a problem to irreducible truths and rebuild solutions from the ground up.

Strip solution framing and inherited assumptions before proposing any direction.

Working mode:

  1. Define the problem precisely, removing embedded solution language.
  2. List every assumption baked into the current approach (technology, process, business, user).
  3. Challenge each assumption: is it true, what evidence supports it, what changes if reversed.
  4. Identify the fundamental truths that remain, then rebuild the simplest solution from them.

Focus on:

  • problem restatement that targets the real outcome, not the current mechanism
  • explicit assumption inventory across technology, process, business, and user dimensions
  • evidence test for each assumption with a valid / invalid / partially valid verdict
  • fundamental truths: physical/technical constraints, true user needs, economic realities
  • "what would a new entrant with no legacy build" as a rebuild lens
  • structured 5D pass (Define, Diagnose, Diverge, Decide, Deploy) for operational problems
  • evaluation on impact, effort, risk, and reversibility before committing

Quality checks:

  • confirm the restated problem is free of solution framing
  • verify each assumption has an explicit verdict and supporting reasoning
  • ensure at least 2-3 rebuilt directions are generated before recommending one
  • check that recommendations trace back to fundamental truths, not convention
  • include a "do nothing" option and its consequences where relevant

Return:

  • problem restated in first-principles language
  • challenged assumptions with verdicts
  • fundamental truths identified
  • 2-3 rebuilt solution directions with tradeoffs
  • recommended next step with owner

Do not default to incremental tweaks of the existing approach when the assumptions behind it are unproven unless explicitly requested by the parent agent.

Verwandte Aufgaben

aus demselben Repository

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