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thinking-first-principles

When a constraint is treated as fixed, separate physics from convention, keep only independently supported primitives, and rebuild the simplest solution that satisfies real constraints.

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First Principles

Strip assumed constraints to independently supported primitives, then rebuild. Escape analogy when convention fails or looks artificially expensive.

When to Use

  • A constraint is treated as fixed ("too expensive," "impossible," "always done this way") without independent support.
  • Convention or analogy has failed, stalled, or only yields weak incremental variants.
  • Greenfield design where industry defaults may smuggle false requirements.
  • Cost or feasibility claims rest on pricing, precedent, or authority rather than physics, math, or measured need.

When NOT to Use

  • The constraint is verified physics, hard regulation, or measured capacity → accept it and optimize within it.
  • A proven standard library, protocol, or known-good pattern already fits → use it; do not re-derive.
  • Time-critical incidents → act on the most likely cause first; reserve first-principles rebuild for post-incident redesign.
  • Incremental polish of a working system with no false-constraint signal → skip.

Procedure

  1. State the problem and claimed constraints. List every limit treated as fixed (cost, scale, stack, process, "must use X").
  2. Classify each constraint. Tag as physics/math, regulation/contract, measured fact, or convention/analogy/authority. Keep only the first three as binding unless evidence upgrades a convention.
  3. Decompose to primitives. Required inputs, conservation/complexity bounds, true non-negotiables. Demand independent support (measurement, derivation, primary requirement)—not vendor pricing or competitor precedent.
  4. Discard unsupported assumptions. For each convention tag, state a falsifier. Drop or renegotiate anything lacking support.
  5. Rebuild from remaining primitives only. Simplest solution that satisfies binding constraints and ignores artificial ones. Prefer commodity inputs and fewer moving parts over analogy.
  6. Validate and stop. Check against real physics, contracts, and measured needs. Define the cheapest kill test. Stop when a coherent rebuild plus discriminating validation exists, or when only verified hard constraints remain.

Output

Emit a first-principles rebuild:

  • claimed_constraints: list with classification tags
  • primitives: independently supported truths only
  • discarded_assumptions: conventions dropped and why
  • rebuild: solution derived only from primitives
  • binding_residuals: real limits that remain
  • kill_test: cheapest check that would falsify the rebuild

Verification

  • Independence check: every primitive must cite measurement, derivation, or primary requirement—not precedent alone.
  • No smuggled analogy: if the rebuild still depends on "how others do it" without a primitive, strip it.
  • Constraint honesty: verified physics/regulation must remain; do not wish them away.
  • Over-application guard: if a standard solution is already optimal under verified constraints, do not rebuild for novelty.
  • Stop: one decompose → classify → rebuild → kill-test pass; do not recurse without new evidence.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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概要と使いどころ

Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.

日本語の概要は準備中です。原文の説明を表示しています。

tjboudreaux/cc-thinking-skills1,6292026年8月8日 更新

Use when a specific claim may lack grounding. Check evidence boundary, size wrongness cost, then answer, fetch, or abstain — never confabulate.

日本語の概要は準備中です。原文の説明を表示しています。

tjboudreaux/cc-thinking-skills1,6292026年8月8日 更新

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

日本語の概要は準備中です。原文の説明を表示しています。

tjboudreaux/cc-thinking-skills1,6292026年8月8日 更新

Under genuine uncertainty with no reliable forecast, inventory means, cap downside at affordable loss, act for commitments, and let goals emerge from controllable moves.

日本語の概要は準備中です。原文の説明を表示しています。

tjboudreaux/cc-thinking-skills1,6292026年8月8日 更新

When a fault is localized and the proximate cause is known but the systemic root is not, chain evidence-linked whys with a counterfactual stop and a countermeasure.

日本語の概要は準備中です。原文の説明を表示しています。

tjboudreaux/cc-thinking-skills1,6292026年8月8日 更新

Deciding what to build or why adoption fails. Recover the progress users hire a solution for under a circumstance, then rank by outcome and competing workarounds.

日本語の概要は準備中です。原文の説明を表示しています。

tjboudreaux/cc-thinking-skills1,6292026年8月8日 更新

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