Agent skill

simulate-elite-experts

Simulate high-stakes reasoning by modeling how top experts in the relevant domain would think, disagree, and converge on a decision. Use when users ask to role-play strongest minds, compare elite viewpoints, or ask: what would be a good group of people to explore X, and what would they say. Trigger for prompts like "think like world-class experts", "simulate top domain specialists", "role-play strongest domain people", and "use four-lens dialogue".

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill simulate-elite-experts --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 15 KB
Bundled scripts: none
Path: skills/analysis/simulate-elite-experts/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

# Simulate Elite Experts ## Applicability Pre-Check (Gate 0) Before running the full framework, evaluate 3 dimensions to decide whether this tool is appropriate: 1. **Complexity**: Does the problem involve multiple stakeholders, competing constraints, or non-obvious tradeoffs? - Yes (score 1) → proceed. - No (score 0) → consider skipping; a direct answer may suffice. 2. **Reversibility**: Is the decision hard to reverse once made? - Hard to reverse (score 1) → proceed; structured deliberation is valuable. - Easy to reverse (score 0) → consider skipping; low-cost decisions rarely need multi-lens analysis. 3. **Information ambiguity**: Is there significant uncertainty about facts, outcomes, or stakeholder preferences? - High ambiguity (score 1) → proceed; the framework surfaces hidden assumptions. - Low ambiguity (score 0) → consider skipping; the answer may already be clear. **Decision rule**: - Total >= 2 → use the full framework. - Total = 1 → offer the user a choice between `micro` (lightweight) and full framework. - Total = 0 → recommend skipping; inform the user this question is better answered directly. If the user explicitly requests the framework regardless of score, proceed

What's inside
Steps it walks through
  1. Applicability Pre-Check (Gate 0)
  2. When NOT to Use This Framework
  3. Core Principle
  4. Fixed Four-Lens Composition (Hard Constraint)
  5. Real-Person Selection Criteria (Hard Constraint)
  6. Inference Confidence Annotation
  7. Real-Person Scoring Matrix (Guardrail)
  8. Fallback Strategy (When Real-Person Selection Is Unclear)
  9. Simulation Safety Rules
  10. Rolling Uncertainty Tracker
  11. Output Contract Guardrail (Hard Constraint)
  12. Failure Modes and Recovery Actions
  13. Controlled Execution Profiles (Structure-Preserving)
  14. Micro Profile Output Sections
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the simulate-elite-experts skill do?

Simulate high-stakes reasoning by modeling how top experts in the relevant domain would think, disagree, and converge on a decision. Use when users ask to role-play strongest minds, compare elite viewpoints, or ask: what would be a good group of people to explore X, and what would they say. Trigger for prompts like "think like world-class experts", "simulate top domain specialists", "role-play strongest domain people", and "use four-lens dialogue".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill simulate-elite-experts --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.

Keep going