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By Sumeet138
Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams
npx claudepluginhub sumeet138/qwen-code-agents --plugin agent-teamsTask delegation dashboard for managing team workload, assignments, and rebalancing
Develop features in parallel with multiple agents using file ownership boundaries and dependency management
Launch a multi-reviewer parallel code review with specialized review dimensions
Gracefully shut down an agent team, collect final results, and clean up resources
Spawn an agent team using presets (review, debug, feature, fullstack, research, security, migration) or custom composition
Hypothesis-driven debugging investigator that investigates one assigned hypothesis, gathering evidence to confirm or falsify it with file:line citations and confidence levels. Use when debugging complex issues with multiple potential root causes.
Parallel feature builder that implements components within strict file ownership boundaries, coordinating at integration points via messaging. Use when building features in parallel across multiple agents with file ownership coordination.
Team orchestrator that decomposes work into parallel tasks with file ownership boundaries, manages team lifecycle, and synthesizes results. Use when coordinating multi-agent teams, decomposing complex tasks, or managing parallel workstreams.
Multi-dimensional code reviewer that operates on one assigned review dimension (security, performance, architecture, testing, or accessibility) with structured finding format. Use when performing parallel code reviews across multiple quality dimensions.
Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.
Debug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.
Coordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the same system simultaneously, when establishing file ownership to prevent merge conflicts in a shared codebase, when designing interface contracts so parallel implementers can build against each other's APIs before they are ready, or when deciding whether to use vertical slices versus horizontal layers for a full-stack feature.
Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.
Structured messaging protocols for agent team communication including message type selection, plan approval, shutdown procedures, and anti-patterns to avoid. Use this skill when establishing communication norms for a newly spawned team, when deciding whether to send a direct message or a broadcast, when a team-lead needs to review and approve an implementer's plan before work begins, when orchestrating a graceful team shutdown after all tasks are complete, or when debugging why teammates are not coordinating correctly at integration points.
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Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams
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.
AI team role and worker manager for multi-agent development workflows.
Multi-agent team orchestration for Claude Code. Set up parallel AI agent teams with file-based planning, progress tracking, and role-based collaboration.
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
LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.2
Interactive debugging, developer experience optimization, and smart debugging workflows
Distributed system tracing and debugging across microservices
REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation
Technical SEO optimization including meta tags, keywords, structure, and featured snippets
Adapted for Qwen Code — 77 plugins, 182 agents, 149 skills, and 96 commands now working with Qwen 3.6
A comprehensive production-ready system combining 182 specialized AI agents, 16 multi-agent workflow orchestrators, 149 agent skills, and 96 commands organized into 77 focused, single-purpose plugins — adapted for Qwen Code.
This project is a fork/adaptation of claude-code-workflows by Seth Hobson (@wshobson).
All original plugin content, agent expertise, skill knowledge, command workflows, and architectural design are the work of Seth Hobson and contributors. This adaptation converts the plugin infrastructure to work with Qwen Code instead of Claude Code, while preserving 100% of the original content and intelligence.
Original repository: github.com/wshobson/agents Original license: MIT
Claude Code is expensive. Qwen Code is free (OAuth: 60 req/min, 1000/day) or very cheap (API key). This project brings the same powerful agent orchestration system to Qwen Code so you can use 182 specialized AI agents without paying for Claude.
| Aspect | Before (Claude Code) | After (Qwen Code) |
|---|---|---|
| Cost | $3+ per 1M tokens (Sonnet) | Free (OAuth) or ~$0.02/1M tokens |
| Model for critical tasks | Claude Opus 4.6 | Qwen-Max |
| Model for complex tasks | Claude Sonnet 4.6 | Qwen-Plus |
| Model for fast tasks | Claude Haiku 4.5 | Qwen-Flash |
| Plugins | 77 | 77 (same) |
| Agents | 182 | 182 (same expertise) |
| Skills | 149 | 149 (same knowledge) |
| Commands | 96 | 96 (same workflows) |
| Agent knowledge | Identical | Identical |
| Skill content | Identical | Identical |
| Workflow automation | Identical | Identical |
| Monthly savings | Baseline | ~99% cheaper |
| Component | Changed? | Details |
|---|---|---|
| Agent system prompts | No | All 182 agents have identical expertise |
| Skill knowledge packages | No | All 149 skills with progressive disclosure |
| Command workflows | No | All 96 workflow automations |
| Plugin structure | No | Same directory organization |
model: opus references | Yes | Mapped to model: qwen-max |
model: sonnet references | Yes | Mapped to model: qwen-plus |
model: haiku references | Yes | Mapped to model: qwen-flash |
| Plugin manifest | Yes | plugin.json + qwen-extension.json |
| Context files | Added | QWEN.md per plugin |
This unified repository provides everything needed for intelligent automation and multi-agent orchestration across modern software development:
Each plugin is completely isolated with its own agents, commands, and skills:
Example: Installing python-development loads 3 Python agents, 1 scaffolding tool, and makes 16 skills available (~1000 tokens), not the entire marketplace.