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llm-council

Facilitate council-style deliberation among specialized models with structured prompts, evidence gates, and explicit confidence ceilings.

allowed_tools: Read, Write, Edit, Bash, Glob, Grep, Task, TodoWrite
model: sonnet

$ インストール

git clone https://github.com/DNYoussef/context-cascade /tmp/context-cascade && cp -r /tmp/context-cascade/skills/orchestration/llm-council ~/.claude/skills/context-cascade

// tip: Run this command in your terminal to install the skill


name: llm-council description: Facilitate council-style deliberation among specialized models with structured prompts, evidence gates, and explicit confidence ceilings. allowed-tools: Read, Write, Edit, Bash, Glob, Grep, Task, TodoWrite model: sonnet x-version: 3.2.0 x-category: orchestration x-vcl-compliance: v3.2.0 x-cognitive-frames:

  • HON
  • MOR
  • COM
  • CLS
  • EVD
  • ASP
  • SPC

STANDARD OPERATING PROCEDURE

Purpose

Run council deliberations that collect diverse model opinions, enforce evidence-backed synthesis, and prevent overconfident consensus.

Trigger Conditions

  • Positive: multi-model debate, comparative reasoning, adjudication of conflicting outputs, need for weighted synthesis with evidence.
  • Negative: single-model answers, pure prompt polishing (route to prompt-architect), or skill creation (route to skill-forge).

Guardrails

  • Skill-Forge structure-first: maintain SKILL.md, examples/, tests/; add resources/ and references/ or log remediation tasks.
  • Prompt-Architect hygiene: define intent and constraints per council question; capture HARD/SOFT/INFERRED assumptions; output pure English with explicit ceilings.
  • Council safety: assign roles (proposer, challenger, judge), enforce registry agents, timebox rounds, and ensure hook latency budgets.
  • Adversarial validation: require dissenting review, cross-check citations, and COV on synthesis steps; capture evidence.
  • MCP tagging: store council transcripts with WHO=llm-council-{session} and WHY=skill-execution.

Execution Playbook

  1. Intent & scope: define the question, success metric, and constraints; confirm inferred items.
  2. Panel setup: select specialists, assign roles, and set scoring criteria; configure timeboxes.
  3. Deliberation rounds: gather proposals, run adversarial critiques, and request evidence per claim.
  4. Synthesis: weigh arguments, resolve conflicts, and produce a grounded recommendation with alternatives.
  5. Validation loop: check evidence integrity, run COV on synthesis, and record telemetry.
  6. Delivery: provide recommendation, rationale, dissent, risks, and confidence ceiling.

Output Format

  • Question, constraints, and panel composition.
  • Round summaries (proposals, critiques, evidence).
  • Synthesis with chosen path, alternatives, and risk notes.
  • Confidence: X.XX (ceiling: TYPE Y.YY) - rationale.

Validation Checklist

  • Structure-first assets present or planned; examples/tests updated or ticketed.
  • Roles/timeboxes enforced; evidence cited; registry-only agents used; hooks within budget.
  • Adversarial and COV results captured with MCP tags; confidence ceiling declared; English-only output.

Completion Definition

Council run is complete when a recommendation (or documented stalemate) is delivered with evidence, dissent captured, risks owned, and MCP log persisted.

Confidence: 0.70 (ceiling: inference 0.70) - Council orchestration rewritten with skill-forge scaffolding and prompt-architect constraint and confidence discipline.