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This skill should be used when the user asks to "ask the council", "debate this", "vote on", "get multiple opinions", "what do other AIs think", "peer review", "challenge my design", or requests collective AI intelligence from multiple models (Claude Opus, Gemini Pro, GPT/Codex).

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name council
description This skill should be used when the user asks to "ask the council", "debate this", "vote on", "get multiple opinions", "what do other AIs think", "peer review", "challenge my design", or requests collective AI intelligence from multiple models (Claude Opus, Gemini Pro, GPT/Codex).
allowed-tools Bash(python3 ${SKILL_ROOT}/scripts/council.py:*), Read(**/*.py), Read(**/*.ts), Read(**/*.js), Read(**/*.tsx), Read(**/*.go), Read(**/*.rs), Read(**/*.java)

Council - Multi-Model Deliberation

Orchestrate collective intelligence from Claude Opus, Gemini Pro, and Codex through multi-round deliberation, persona-based analysis, anonymous peer review, and synthesis.

Persona Assignments

Model Persona Focus
Claude Chief Architect Strategic design, architecture, maintainability
Gemini Security Officer Security, vulnerabilities, compliance, risk
Codex Performance Engineer Performance, algorithms, efficiency, scalability

Quick Start

Basic Invocation

python3 ${SKILL_ROOT}/scripts/council.py \
  --query "[question]" \
  --mode consensus \
  --max-rounds 3

With Code Context (Recommended for Code Reviews)

Step 1: Create manifest file listing files to analyze:

# Council Context

## Question
Review auth module for security issues

## Files to Analyze

### src/auth.py
- Main authentication logic

### src/config.py
- JWT configuration

Step 2: Invoke with context file:

python3 ${SKILL_ROOT}/scripts/council.py \
  --query "Review this authentication module" \
  --context-file /tmp/council_manifest.md \
  --mode consensus

Council.py parses lines starting with ### filename.ext and loads those files automatically.

Deliberation Process

3-Stage Pipeline

  1. Multi-Round Opinions: All 3 personas provide analysis, see each other's arguments, provide rebuttals
  2. Peer Review: Chairman scores responses on accuracy, completeness, reasoning, clarity
  3. Synthesis: Chairman produces final answer incorporating all rounds

Round Flow

Round 1 (Parallel):

  • All 3 models provide initial analysis with persona lens
  • Progress: "Chief Architect responded (16.2s)"

Round 2+ (Rebuttals):

  • Each model receives anonymized summaries of OTHER models' arguments
  • Provides rebuttals to disagreements, concessions to agreements
  • Signals convergence if consensus reached

Convergence Detection:

  • Threshold: 0.8 (60% confidence + 40% explicit signals)
  • If converged: Stop early, proceed to synthesis
  • If not: Continue to max_rounds (default: 3)

Quorum: Minimum 2 valid responses required per round

Deliberation Modes

Consensus (Default)

  • Use when: Factual questions, technical validation, design decisions
  • Process: Multi-round with convergence detection
  • Output: Synthesized answer with confidence score

Debate

  • Use when: Controversial topics, binary decisions, competing approaches
  • Personas: Neutral Analyst, Advocate FOR, Advocate AGAINST
  • Output: Balanced analysis of both sides
python3 ${SKILL_ROOT}/scripts/council.py \
  --query "Microservices vs monolith for startups" \
  --mode debate

Devil's Advocate

  • Use when: Stress-testing proposals, security reviews, finding edge cases
  • Personas: Purple Team (Integrator), Red Team (Attacker), Blue Team (Defender)
  • Output: Critique with identified weaknesses and mitigations
python3 ${SKILL_ROOT}/scripts/council.py \
  --query "Proposal: Implement E2EE using AES-256" \
  --mode devil_advocate

Vote

  • Use when: Binary or multiple choice decisions
  • Output: Vote tally + majority recommendation

Specialist

  • Use when: Domain-specific expertise needed
  • Routing: GPU/ML → Gemini, Architecture → Claude, Code → Codex

Security Features

Defense-in-depth protection (see references/security.md for details):

  • Shell Injection Prevention: Detects ;, &, |, backticks, $()
  • Prompt Injection Detection: Blocks instruction overrides, privilege escalation
  • Secret Redaction: Auto-redacts API keys, tokens, passwords in input/output
  • DoS Protection: Query limit 50K chars, context limit 200K chars

Resilience

Automatic graceful degradation (see references/resilience.md for details):

Level Condition Confidence Penalty
FULL All models available 0%
DEGRADED >=2 models available 10%
MINIMAL <2 models 25% (cannot continue)

Features:

  • Circuit Breaker: Excludes repeatedly failing models (3+ failures → OPEN)
  • Adaptive Timeout: Learns from response times, adjusts dynamically
  • Chairman Failover: claude → gemini → codex if primary fails

Error Handling

Error Action
CLI timeout (>60s) Mark ABSTENTION, continue with available
Quorum failure (<2) Inform user, suggest Claude-only retry
Invalid JSON Extract text, score lower
Validation failure Reject if critical (shell injection)

CLI Tools

# Gemini
gemini "Your prompt"

# Codex
codex exec "Your prompt"

# Claude (chairman)
claude "Your prompt"

Always use Claude as chairman for synthesis.

Response Format

Present results as (see references/output-format.md for full template):

## Council Deliberation: [Question]

**Participants**: Chief Architect, Security Officer, Performance Engineer
**Rounds**: 2 of 3 (converged)
**Convergence**: 0.944

### Round 1: Initial Positions
[key points per persona]

### Round 2: Rebuttals
[counter-arguments and concessions]

### Council Consensus
[synthesized answer]

**Confidence**: 0.91
**Dissenting View**: [if significant]

Configuration

Council can be configured via council.config.yaml:

providers: [claude, gemini, codex]
chairman: claude
timeout: 60
max_rounds: 3
mode: adaptive
convergence_threshold: 0.8
min_quorum: 2

Reference Files

  • references/modes.md - Deliberation mode details
  • references/prompts.md - Prompt templates
  • references/schemas.md - JSON response schemas
  • references/security.md - Security implementation
  • references/resilience.md - Graceful degradation details
  • references/failure-modes.md - Error handling and recovery
  • references/output-format.md - Response templates
  • references/examples.md - Detailed usage examples