thinking-bounded-rationality
Use when search or investigation could run forever.
Skill by tjboudreaux
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/tjboudreaux-thinking-bounded-rationality
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/thinking-bounded-rationality
What's inside
- Skill name
thinking-bounded-rationality- Description
- Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.
- License
- MIT
- Instructions
- 47 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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 1. **State decision and budget.** Name the choice, residual tool/context/time budget, and reversibility. 2. **Set aspiration before searching.** Write concrete pass/fail criteria for "good enough." Do not evaluate until the threshold is explicit. 3. **Search sequentially.** Score options in encounter order against the threshold only. Skip full matrices unless step 1 marked high-stakes/irreversible. 4. **Stop at first adequate.** When an option clears every criterion, select it immediately. 5. **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. 6. **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 ```text Decision: <choice> Aspiration: <pass/fail criteria> Search: evaluated N; stopped at first adequate | cap exhausted Selected: <option or none> Residual risk: <what further search might change> Next spend: <execution step> ``` ## 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.
From tjboudreaux/cc-thinking-skills, MIT.
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Signals
- Stars
- 1,668
- Forks
- 185
- Open issues
- 2
- Last commit (this folder)
- Jul 17, 2026 (3 months ago)
- Last release
- Aug 4, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from tjboudreaux
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Use when a selective defect needs IS/IS-NOT difference analysis or a consequential option choice needs must/want weighting and adverse-consequence comparison.
SkillBFreshness: B★ 1.7KClaude Code +9 - 0.782score
thinking-probabilistic
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Use when forecasting, estimating, or sizing risk — anchor on base rates, give ranges, update prior→likelihood→posterior on evidence, and factor unmeasured…
SkillBFreshness: B★ 1.7KClaude Code +9 - 0.782score
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thinking-bounded-rationality skill. Agent Mart. https://agentmart.dev/skills/tjboudreaux-thinking-bounded-rationality (last updated 2026-10-24)