experts

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Assemble a panel of experts to assess a problem from multiple professional perspectives, surface agreement and disagreement, and deliver a chaired recommendation with clear tradeoffs. Use when the user wants multi-expert judgment, a second opinion, design critique, option comparison, or a recommendation backed by distinct expert viewpoints.

AI & Automation 36 stars 7 forks Updated today MIT

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Skill Content

# Experts Assemble a focused panel of experts around one problem and produce a chaired recommendation. This is a cross-domain expert panel skill for complex decisions. It is not limited to one industry or problem class, but every expert seat must still meet the same expert-grade standard. This skill is for expert judgment first. It is not a generic task router. ## Operating Mode - Use this skill when the user wants expert advice, a multi-angle assessment, a second opinion, or a recommendation with explicit tradeoffs. - Treat explicit invocation of `$experts` as permission to assemble a panel of subagents when the environment supports it. - Prefer domain experts over generic worker roles. - Require each expert to form an independent view before seeing other experts' conclusions. - Treat disagreement as useful output, not failure. - Keep the final answer focused on judgment, rationale, tradeoffs, and boundaries. - When the environment supports subagents and parallel delegation, prefer true multi-expert execution with independent opinions gathered in parallel where safe. - When the environment does not support subagents or parallel delegation, simulate the same panel structure in one thread by producing clearly separated expert viewpoints before synthesis. - Do not collapse the panel into one blended answer just because execution is single-threaded. ## Resource Map Read [references/roles-index.md](references/roles-index.md) first. Then load only the expert cards that matc...

Details

Author
flc1125
Repository
flc1125/skills
Created
7 months ago
Last Updated
today
Language
JavaScript
License
MIT

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