Produktivität

agent-council

Runs structured multi-agent debates with premortems, cross-examination, convergence detection, and typed synthesis to analyze tradeoffs, assumptions, risks, and unresolved disagreements.

★ 88 GitHub Stars
94 Qualitätsbewertung
26 Dateien

About this Skill

Run a structured multi-agent debate by spawning a panel of expert agents on any question, with convergence-aware iteration and typed synthesis output via the `agent-council` CLI. Use when a decision has genuine tradeoffs, high stakes, or hidden assumptions worth adversarial collaboration, or when confidence diagnostics matter more than a single recommendation. Compatible with any AI agent harness that supports agentskills.io skills (Claude Code, Cursor, Hermes Agent, OpenHands, etc.). Do not use for simple factual lookups, tasks with a clear correct answer, routine single-perspective work, or code execution and tool orchestration beyond debate.

Anwendungsfälle

  • Evaluating decisions with competing tradeoffs
  • Surfacing hidden assumptions and shared risks
  • Analyzing high-stakes or irreversible choices
  • Comparing architectural or product options
  • Generating confidence and disagreement diagnostics

Funktionen

  • Compose, premortem, position, cross-examination, and synthesis phases
  • Configurable agent count, debate depth, personas, and rounds
  • Convergence detection based on confidence dispersion and argument novelty
  • Markdown and structured JSON synthesis output
  • Post-debate scan for unverifiable external claims

Anforderungen

  • Python 3.10+
  • pydantic-ai
  • agent-council CLI
  • LLM provider API key

Unterstützte Agents

Claude Code Cursor Other

Skill files

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