Agent skill

council

Query multiple AI agents in parallel for diverse perspectives. Use when you want multiple viewpoints on a question, to compare approaches, or to find consensus among AI models.

View SKILL.md on GitHub Repository
Stars 21
Forks 5

Install this agent skill to your Project

npx add-skill https://github.com/johnlindquist/claude/tree/main/skills/council

SKILL.md

AI Council - Multi-Agent Consultation

Get perspectives from multiple AI agents on the same question.

Prerequisites

At least one of these CLIs installed:

Claude CLI

bash
npm install -g @anthropic-ai/claude-cli
# Set ANTHROPIC_API_KEY

Codex CLI

bash
npm install -g @openai/codex-cli
# Set OPENAI_API_KEY

Gemini CLI

bash
pip install google-generativeai
# Set GEMINI_API_KEY

Individual Agent Commands

Claude

bash
# Ask Claude
claude -p --model opus "Your question here"

# Print mode (non-interactive)
claude --print "Your question"

Codex

bash
# Ask Codex
codex -q "Your question here"

Gemini

bash
# Ask Gemini
gemini -m pro -o text -e "" "Your question here"

Parallel Consultation Pattern

Basic Multi-Agent Query

bash
# Query all agents in parallel
(
  echo "=== Claude ===" && claude --print "Your question" &
  echo "=== Gemini ===" && gemini -m pro -o text -e "" "Your question" &
  echo "=== Codex ===" && codex -q "Your question" &
  wait
)

Structured Comparison Script

bash
#!/bin/bash
QUESTION="$1"

# Query in parallel, save to temp files
claude --print "$QUESTION" > /tmp/claude-response.txt &
gemini -m pro -o text -e "" "$QUESTION" > /tmp/gemini-response.txt &
wait

echo "=== Claude's Response ==="
cat /tmp/claude-response.txt

echo ""
echo "=== Gemini's Response ==="
cat /tmp/gemini-response.txt

# Cleanup
rm -f /tmp/claude-response.txt /tmp/gemini-response.txt

Use Cases

Code Review Perspectives

bash
# Get different review perspectives
CODE=$(cat mycode.ts)

claude --print "Review this code for best practices: $CODE"
gemini -m pro -o text -e "" "Review this code for security issues: $CODE"

Architecture Decision

bash
QUESTION="Should I use microservices or monolith for a startup MVP with 3 developers?"

# Get multiple perspectives
claude --print "$QUESTION"
gemini -m pro -o text -e "" "$QUESTION"

Debugging Approaches

bash
ERROR="TypeError: Cannot read property 'map' of undefined"
CONTEXT="React component fetching API data"

claude --print "Debug this error: $ERROR. Context: $CONTEXT"
gemini -m pro -o text -e "" "Explain and fix: $ERROR in $CONTEXT"

Finding Consensus

After getting responses from multiple agents, ask one to synthesize:

bash
# Save individual responses first, then:
gemini -m pro -o text -e "" "Here are responses from different AI agents about [topic]:

Response 1: [Claude's response]
Response 2: [Gemini's response]

Synthesize these into a consensus view, noting:
1. Where they agree
2. Where they differ
3. The most actionable recommendation"

Role Presets

When querying, you can assign roles:

Software Engineering Council

bash
claude --print "As a software architect: [question]"
gemini -m pro -o text -e "" "As a security engineer: [question]"

Code Review Council

bash
claude --print "Review for maintainability: [code]"
gemini -m pro -o text -e "" "Review for performance: [code]"

Creative Problem Solving

bash
claude --print "Suggest conventional solutions for: [problem]"
gemini -m pro -o text -e "" "Suggest unconventional approaches for: [problem]"

Debate Pattern

Have agents respond to each other:

bash
# Round 1: Initial positions
R1_CLAUDE=$(claude --print "Argue FOR using TypeScript in a new project")
R1_GEMINI=$(gemini -m pro -o text -e "" "Argue AGAINST using TypeScript in a new project")

# Round 2: Rebuttals
R2_CLAUDE=$(claude --print "Respond to this argument against TypeScript: $R1_GEMINI")
R2_GEMINI=$(gemini -m pro -o text -e "" "Respond to this argument for TypeScript: $R1_CLAUDE")

# Synthesis
gemini -m pro -o text -e "" "Synthesize this debate:

FOR TypeScript: $R1_CLAUDE
Rebuttal: $R2_CLAUDE

AGAINST TypeScript: $R1_GEMINI
Rebuttal: $R2_GEMINI

Provide a balanced recommendation."

Best Practices

  1. Use same question - Consistent phrasing for fair comparison
  2. Run in parallel - Background jobs with & for speed
  3. Capture output - Save to files for comparison
  4. Note which agent - Label responses clearly
  5. Synthesize at end - Use one agent to summarize
  6. Match agent to task - Claude for nuance, Gemini for facts, Codex for code

Recommended Agent Skills

Expand your agent's capabilities with these related and highly-rated skills.

johnlindquist/claude

testgen

Generate tests using AI and run test suites. Use for generating unit tests, running coverage reports, and mutation testing.

21 5
Explore
johnlindquist/claude

article

Generate technical articles and documentation using AI. Use for writing blog posts, documentation, and technical content.

21 5
Explore
johnlindquist/claude

packx

Bundle code context for AI. ALWAYS use --limit 49k unless user explicitly requests otherwise. Use for creating shareable code bundles and preparing context for LLMs.

21 5
Explore
johnlindquist/claude

long-agent

Manage long-running agent sessions. Use for tracking progress in extended tasks, maintaining context across long sessions, and managing multi-step workflows.

21 5
Explore
johnlindquist/claude

db

Database operations for SQLite, PostgreSQL, and MySQL. Use for queries, schema inspection, migrations, and AI-assisted query generation.

21 5
Explore
johnlindquist/claude

investigate

Debug and investigate code issues using search and AI analysis. Use when stuck on bugs, tracing execution flow, or understanding complex code.

21 5
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results