Agent skill · Design & Presentation

thinking-bounded-rationality

Apply Herbert Simon's Bounded Rationality and satisficing to make good-enough decisions under real-world constraints. Use for design decisions under time pressure, recognizing cognitive limits, and setting appropriate stopping criteria.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill thinking-bounded-rationality --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/analysis/thinking-bounded-rationality/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Bounded Rationality and Satisficing ## Overview Herbert Simon's Bounded Rationality recognizes that human decision-making is limited by three fundamental constraints: available information, cognitive capacity, and time. Rather than pursuing optimal solutions (which is often impossible), Simon proposed "satisficing"—a portmanteau of satisfy + suffice—choosing solutions that are good enough to meet requirements. **Core Principle:** "Decision makers can satisfice either by finding optimum solutions for a simplified world, or by finding satisfactory solutions for a more realistic world." — Herbert Simon ## When to Use - Making design decisions under time pressure - Facing complex problems with incomplete information - Analysis paralysis is blocking progress - Optimization costs exceed potential benefits - Need to set stopping criteria for searches/research - Evaluating when "good enough" beats "perfect" - Resource allocation under constraints Decision flow: ``` Decision needed? → yes → Do you have perfect information? → rarely ↘ Is optimization cost justified? → no → SATISFICE ↘ yes → Optimize (but verify cost) ``` ## The Three Constraints ### 1. Information Bounds **What you can kno

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. The Three Constraints
  4. 1. Information Bounds
  5. 2. Cognitive Bounds
  6. 3. Time Bounds
  7. Satisficing vs. Optimizing
  8. When to Satisfice
  9. When to Optimize
  10. The Satisficing Process
  11. Step 1: Define Aspiration Level
  12. Step 2: Search Sequentially
  13. Step 3: Adjust Aspiration If Needed
  14. Step 4: Commit and Move On
Ships with 1 file
  • metadata.json
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About this skill
What does the thinking-bounded-rationality skill do?

Apply Herbert Simon's Bounded Rationality and satisficing to make good-enough decisions under real-world constraints. Use for design decisions under time pressure, recognizing cognitive limits, and setting appropriate stopping criteria.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill thinking-bounded-rationality --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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