panel-skill_skill

Overview

This skill hosts interactive expert panel discussions on any topic. It generates 3–7 master-level expert personas, runs structured debate using thesis–antithesis–synthesis patterns, and produces an actionable consensus report. Use it to explore complexity, evaluate trade-offs, and surface diverse perspectives quickly.

How this skill works

The skill evaluates topic complexity and chooses panel size and depth automatically, or accepts size/depth/style arguments. It creates required archetypes (Contrarian, Synthesizer, Specialist) plus complementary personas, guides multi-round exchanges (Opening → Cross‑Examination → Synthesis), and enforces a final synthesis with labeled confidence and trade-offs. Outputs include a panel header, an interactive user menu, and a concise final report with recommendations and dissenting quotes.

When to use it

• Exploring complex or novel problems that benefit from multiple expert views
• Making architectural or strategic decisions with clear trade-offs
• Evaluating pros and cons of competing approaches or technologies
• Stress‑testing assumptions and surfacing blind spots
• Generating actionable recommendations and prioritized next steps

Best practices

• Provide a concise topic and any constraints (budget, timeline, scale) to ground the panel
• Specify desired style: collaborative, adversarial, or academic for tone control
• Use depth parameter for desired thoroughness (quick, standard, deep)
• Start with default panel composition unless you need specific expertise domains
• Use Follow‑up and Redirect commands to probe or shift focus between rounds

Example use cases

• Deciding between cloud providers and deployment patterns with trade-off analysis
• Evaluating a product roadmap: prioritize features, risks, and go‑to‑market timing
• Designing system architecture: monolith vs microservices vs serverless
• Assessing ethical, legal, and technical implications of a new AI feature
• Comparing investment options and regulatory risk for a fintech product