johnlindquist/claude/council

Claude Code and agent skill by johnlindquist/claude

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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.

Install

npx vskill@latest install johnlindquist/claude/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

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
23
Repository forks
6
7-day trend score
16

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 8 May 2026, 6 months ago.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

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