Co-Pilot
Updated a month ago

agent-tower-plugin

BBayramAnnakov
0.0k
bayramannakov/agent-tower-plugin
80
Agent Score

💡 Summary

This plugin orchestrates multiple AI coding assistants for collaborative decision-making and analysis.

🎯 Target Audience

Software DevelopersProduct ManagersData ScientistsBusiness AnalystsDevOps Engineers

🤖 AI Roast:Powerful, but the setup might scare off the impatient.

Security AnalysisMedium Risk

Risk: Medium. Review: shell/CLI command execution. Run with least privilege and audit before enabling in production.


name: agent-tower-plugin description: Multi-agent deliberation for Claude Code - orchestrate AI coding assistants (Claude, Codex, Gemini) for council, debate, and consensus workflows allowed-tools:

  • Bash
  • Read
  • Glob
  • Grep
  • AskUserQuestion

Agent Tower Plugin

Multi-agent deliberation for Claude Code. Orchestrate multiple AI coding assistants (Claude, Codex, Gemini) to get diverse perspectives on tasks.

Interactive Configuration

Before running any multi-agent workflow, use AskUserQuestion to gather configuration preferences from the user. This ensures the user has control over:

  • Number of agents/rounds
  • Consensus thresholds
  • Agent role assignments
  • Other mode-specific options

Skip questions for any options the user explicitly provided in their command.

Available Skills

/tower:council

Multi-agent council with parallel opinions and synthesis

First, analyze the user's question and suggest relevant perspectives via AskUserQuestion. Then run multiple agents in parallel with the selected personas. Agents anonymously rank each other's responses, and a chairman synthesizes the final answer.

Best for: Evaluations, strategy decisions, comprehensive analysis, general knowledge questions

/tower:debate

Adversarial debate with pro/con agents

Two agents argue opposing positions on a binary decision. A judge evaluates the arguments and declares a winner with scores.

Best for: Binary decisions, trade-off analysis, technology choices

/tower:deliberate

Producer/reviewer consensus loop

A producer generates a response, a reviewer provides structured feedback, and they iterate until reaching consensus or hitting max rounds.

Best for: Code review, document refinement, iterative improvement

/tower:agents

List available agents

Shows which agent backends (Claude, Codex, Gemini) are currently available.

Agent Backends

| Agent | CLI | Default Model | |-------|-----|---------------| | claude | claude -p | opus | | codex | codex exec | default | | gemini | gemini | gemini-3-pro-preview |

Dynamic Personas

Analyze the user's question and suggest relevant personas. Use technical personas for code/architecture questions, generalist personas for general knowledge questions.

Technical: Security Analyst, Systems Architect, Code Quality Reviewer, DevOps Engineer, Data Engineer, Devil's Advocate

Generalist: Research Analyst, Local Expert, Critical Thinker, Practical Advisor

Business: Business Strategist, Product Manager, Financial Analyst, UX Designer

Custom personas can be passed via --personas '[{"name":"Expert Name","focus":"focus area"}]'

Examples

/tower:council "Evaluate this startup idea: AI-powered meal planning"
/tower:debate "Should we use microservices or a monolith?"
/tower:deliberate "Review the security of ~/GH/myproject"
/tower:agents
5-Dim Analysis
Clarity8/10
Novelty8/10
Utility9/10
Completeness8/10
Maintainability7/10
Pros & Cons

Pros

  • Facilitates diverse perspectives on tasks.
  • Supports multiple AI backends.
  • Enhances decision-making processes.

Cons

  • Complex setup for new users.
  • May require fine-tuning for optimal results.
  • Dependency on multiple AI models.

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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author BayramAnnakov.