simulate-elite-experts

Simulates multi-round expert panel deliberation for complex high-stakes decisions.

3|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/ooooooooooooooooooop/personal-ai --skill simulate-elite-experts-ooooooooooooooooooop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: simulate-elite-experts
Source: https://github.com/ooooooooooooooooooop/personal-ai/tree/main/skills/simulate-elite-experts
Command: npx skills add https://github.com/ooooooooooooooooooop/personal-ai --skill simulate-elite-experts-ooooooooooooooooooop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve? Complex, hard-to-reverse decisions often suffer from single-perspective thinking, hidden assumptions, and premature convergence. This Skill structures deliberation as a four-lens expert panel—two real public figures plus domain-expert and omniscient-agent archetypes—that debate, cross-examine, and converge on a recommendation with explicit uncertainty tracking. ## Core Features & Use Cases - Four-Lens Deliberation Framework: Runs fixed multi-round dialogues (initial positions, cross-examination, revisions, final statements) with mandatory inference-confidence tags and evidence anchors for real-person viewpoints. - Controlled Execution Profiles: Choose micro (2 roles, 5 sections), lean, classic (4 roles, 7 sections), or deep (6 rounds, 9 sections with stress tests and contingency planning) based on decision complexity. - Blind-Spot Gated Audit: An optional overlay routes the candidate decision to a heterogeneous cross-vendor reviewer, applies a materiality gate, and triggers a single-shot re-entry only when a material blind spot is found. - Use Case: When deciding whether to split a monolith into microservices, the Skill selects two relevant real engineers with opposing pressures, simulates their debate, and delivers a synthesis with preconditions, early-warning indicators, and an uncertainty ledger. ## Quick Start Ask the agent to use simulate-elite-experts to analyze your decision question, optionally specifying a profile such as micro or deep.

Frequently Asked Questions about simulate-elite-experts

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I simulate expert perspectives for a complex decision?

Invoke the Skill with your decision question, and it builds a four-lens roster of two real public figures plus two abstract roles, then runs multi-round dialogue with cross-examination. The output ends with a moderator synthesis and an uncertainty ledger separating facts, assumptions, and speculation.

What is the difference between micro, lean, classic, and deep profiles?

Micro uses 2 roles, 2 rounds, and 5 sections for quick checks. Lean and classic use 4 roles, 4 rounds, and 7 sections, with lean compressing each turn. Deep adds stress-test and contingency rounds for 6 rounds and 9 sections.

When should I not use a multi-expert decision framework?

Skip it for simple factual queries, single-correct-answer problems, urgent time-critical decisions, trivial reversible choices, and emotional support requests. The built-in Gate 0 pre-check scores complexity, reversibility, and ambiguity and recommends skipping when the total is zero.

How does the blind-spot gated audit mode work?

When explicitly requested, the Skill extracts a bounded decision packet, sends it to a reviewer model from a different vendor family, and applies a materiality gate. Only material critiques trigger a single-shot re-entry where the primary engine can accept, partially accept, or defend its original decision.

Does the Skill fabricate quotes from real people?

No. All real-person statements are marked as simulated viewpoints inferred from public work, with mandatory confidence tags of high, medium, or low. Fabricated direct quotes and claims of private intent are explicitly prohibited and checked by the lint scripts.