tjboudreaux/cc-thinking-skills/thinking-bounded-rationality
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Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.
Install
npx vskill@latest install tjboudreaux/cc-thinking-skills/thinking-bounded-rationalitySKILL.md
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
- State decision and budget. Name the choice, residual tool/context/time budget, and reversibility.
- Set aspiration before searching. Write concrete pass/fail criteria for "good enough." Do not evaluate until the threshold is explicit.
- Search sequentially. Score options in encounter order against the threshold only. Skip full matrices unless step 1 marked high-stakes/irreversible.
- Stop at first adequate. When an option clears every criterion, select it immediately.
- 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.
- 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
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.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/thinking-bounded-rationality/SKILL.md
Popularity
- Repository stars
- 454
- Repository forks
- 76
- 7-day trend score
- 31
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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- Amazon Q
- Firebase Genkit
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- Mentat
- Claude Desktop
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- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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