Agent skill · Design & Presentation

swing-options

Generate probability-weighted alternative options that challenge default thinking. Forces unconventional alternatives and exposes hidden assumptions behind the "obvious" choice. For decision-point analysis, NOT full design exploration. Triggers on "대안", "alternatives", "옵션 뽑아", "options", "어떤 방법이", "아이디어", "다른 방법", "선택지".

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill swing-options-thestack-ai-swing-skills --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
Allowed tools: ReadGrepGlobBashWebSearchWebFetchAgent
Path: skills/analysis/swing-options-thestack-ai-swing-skills/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

# Creativity Sampler Probability-weighted option generator that fights typicality bias and surfaces unconventional alternatives. The core value is **exposing hidden assumptions** behind the "obvious" choice. > Addresses the cognitive failure of **Anchoring Bias** — AI defaults to the first or most obvious solution without exploring the full decision space, causing users to miss superior alternatives they never considered. ## Rules (Absolute) 1. **Generate exactly 5 options by default.** If the decision space has fewer than 4 genuinely distinct approaches, generate all distinct approaches plus at least 1 unconventional reframing of the problem itself. Never pad with trivially different variations of the same idea. If the user specifies a different count, respect it. 2. **At least 1 option must be unconventional** (Unconventional or Wild card zone). This is the whole point — surface ideas that would normally be suppressed. 3. **Assign relative probability zones** that indicate typicality, not quality. Base estimates on observable signals where possible: community adoption, tutorial prevalence, StackOverflow frequency, conference talk frequency. When precise probabilities cannot be gr

What's inside
Steps it walks through
  1. Rules (Absolute)
  2. Process
  3. Step 1: Check Input Clarity
  4. Step 2: Frame the Decision Space
  5. Step 3: Generate Options (Distribution-First)
  6. Step 4: Analyze Each Option
  7. Step 5: Surface Hidden Assumptions
  8. Output Format
  9. Quality Calibration
  10. BAD Output (what to avoid)
  11. GOOD Output (what to aim for)
  12. When to Use
  13. When NOT to Use
  14. Integration Notes
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the swing-options skill do?

Generate probability-weighted alternative options that challenge default thinking. Forces unconventional alternatives and exposes hidden assumptions behind the "obvious" choice. For decision-point analysis, NOT full design exploration. Triggers on "대안", "alternatives", "옵션 뽑아", "options", "어떤 방법이", "아이디어", "다른 방법", "선택지".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill swing-options-thestack-ai-swing-skills --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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