Set up and orchestrate Claude Code agent teams - multiple instances working together with shared tasks, messaging, and coordination
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub dmitriyyukhanov/claude-plugins --plugin agent-teamsCross-model collaboration between Claude and Codex — sequential drive/validate/act loops and parallel dual review with triage
Transcribe Telegram voice messages using local Whisper (faster-whisper) — automatic PostToolUse hook with setup skill for installation and model download
Python development workflow with architecture design, coding guidelines, testing patterns, and specialized review agents
Implementation-ready spec bundle authoring for apps, services, platforms, and complex features
Set up LSP (Language Server Protocol) for Claude Code projects with auto-detection, plugin installation, and validation
Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams
Multi-agent orchestration for Claude Code. 12 specialized agents working in parallel — planning, building, reviewing, debugging. Plus a Hub for always-alive multi-project sessions controllable from Telegram or Slack.
Dynamically assemble expert agent teams for complex tasks using Claude Code's agent teams feature
Repowire mesh usage skills for AI coding agents: cross-agent review and planning, delegate, usage patterns, and install/update. Backend-agnostic and parameterised on the agent you choose.
AI team role and worker manager for multi-agent development workflows.
Intelligently compose and deploy Claude Code Agent Teams. Auto-selects optimal team composition from 24+ agents and 83+ skills across 5 scopes, generates task dependency graphs, and orchestrates multi-agent workflows with a single command.