Qwen Code Team Coordinator
QwenLM/qwen-code
Leads a small team of Qwen Code teammates: read-only investigators work in parallel, then one writer pinned to a git worktree makes the changes.
Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation.
$ npx skills add alirezarezvani/claude-skills --skill agenthub -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alirezarezvani/claude-skills agenthub --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/agenthub/skills/agenthub .claude/skills/agenthub && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agenthub" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/agenthub into .claude/skills/agenthub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agenthub", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/agenthubType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add alirezarezvani/claude-skills --skill agenthub -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alirezarezvani/claude-skills agenthub --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/engineering/agenthub/skills/agenthub .agents/skills/agenthub && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agenthub" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/agenthub into .agents/skills/agenthub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agenthub", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill agenthub -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alirezarezvani/claude-skills agenthub --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/engineering/agenthub/skills/agenthub .cursor/skills/agenthub && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agenthub" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/agenthub into .cursor/skills/agenthub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agenthub", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/alirezarezvani/claude-skills.git --path engineering/agenthub/skills/agenthub--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add alirezarezvani/claude-skills --skill agenthub -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alirezarezvani/claude-skills agenthub --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/engineering/agenthub/skills/agenthub .gemini/skills/agenthub && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agenthub" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/agenthub into .gemini/skills/agenthub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agenthub", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install alirezarezvani/claude-skills agenthubInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add alirezarezvani/claude-skills --skill agenthub -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/engineering/agenthub/skills/agenthub .github/skills/agenthub && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agenthub" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/agenthub into .github/skills/agenthub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agenthub", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill agenthub -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alirezarezvani/claude-skills agenthub --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/engineering/agenthub/skills/agenthub .opencode/skills/agenthub && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agenthub" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/agenthub into .opencode/skills/agenthub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agenthub", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation.
Agenthub is an agent skill from alirezarezvani/claude-skills. Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/agent-templates.md`, `references/coordination-strategies.md` and `references/dag-patterns.md`).
It sits in Agent Workflows, covering LLM evaluation, Git worktrees and Subagents. It works with Git. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 6 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
gitpythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Agenthub loads about 2k tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 698 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 698 words, ~1,963 tokens.
.claude/skills/agenthub/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.Spawn N parallel AI agents that compete on the same task. Each agent works in an isolated git worktree. The coordinator evaluates results and merges the winner.
| Command | Description |
|---|---|
/hub:hub-init | Create a new collaboration session — task, agent count, eval criteria |
/hub:spawn | Launch N parallel subagents in isolated worktrees |
/hub:hub-status | Show DAG state, agent progress, branch status |
/hub:eval | Rank agent results by metric or LLM judge |
/hub:merge | Merge winning branch, archive losers |
/hub:board | Read/write the agent message board |
/hub:run | One-shot lifecycle: init → baseline → spawn → eval → merge |
When spawning with --template, agents follow a predefined iteration pattern:
| Template | Pattern | Use Case |
|---|---|---|
optimizer | Edit → eval → keep/discard → repeat x10 | Performance, latency, size |
refactorer | Restructure → test → iterate until green | Code quality, tech debt |
test-writer | Write tests → measure coverage → repeat | Test coverage gaps |
bug-fixer | Reproduce → diagnose → fix → verify | Bug fix approaches |
Templates are defined in references/agent-templates.md.
Trigger phrases:
The main Claude Code session is the coordinator. It follows this lifecycle:
INIT → DISPATCH → MONITOR → EVALUATE → MERGERun /hub:hub-init to create a session. This generates:
.agenthub/sessions/{session-id}/config.yaml — task config.agenthub/sessions/{session-id}/state.json — state machine.agenthub/board/ — message board channelsRun /hub:spawn to launch agents. For each agent 1..N:
.agenthub/board/dispatch/isolation: "worktree"Run /hub:hub-status to check progress:
dag_analyzer.py --status --session {id} shows branch stateprogress/ channel has agent updatesRun /hub:eval to rank results:
Run /hub:merge to finalize:
git merge --no-ff winner into base branchgit tag hub/archive/{session}/agent-{i}Each subagent receives this prompt pattern:
You are agent-{i} in hub session {session-id}.
Your task: {task description}
Instructions:
1. Read your assignment at .agenthub/board/dispatch/{seq}-agent-{i}.md
2. Work in your worktree — make changes, run tests, iterate
3. Commit all changes with descriptive messages
4. Write your result summary to .agenthub/board/results/agent-{i}-result.md
5. Exit when doneAgents do NOT see each other's work. They do NOT communicate with each other. They only write to the board for the coordinator to read.
hub/{session-id}/agent-{N}/attempt-{M}YYYYMMDD-HHMMSS)Frontier = branch tips with no child branches. Equivalent to AgentHub's "leaves" query.
python scripts/dag_analyzer.py --frontier --session {id}The DAG is append-only:
Location: .agenthub/board/
| Channel | Writer | Reader | Purpose |
|---|---|---|---|
dispatch/ | Coordinator | Agents | Task assignments |
progress/ | Agents | Coordinator | Status updates |
results/ | Agents + Coordinator | All | Final results + merge summary |
---
author: agent-1
timestamp: 2026-03-17T14:30:22Z
channel: results
parent: null
---
## Result Summary
- **Approach**: Replaced O(n²) sort with hash map
- **Files changed**: 3
- **Metric**: 142ms (baseline: 180ms, delta: -38ms)
- **Confidence**: High — all tests pass{seq:03d}-{author}-{timestamp}.mdBest for: benchmarks, test pass rates, file sizes, response times.
python scripts/result_ranker.py --session {id} \
--eval-cmd "pytest bench.py --json" \
--metric p50_ms --direction lowerThe ranker runs the eval command in each agent's worktree directory and parses the metric from stdout.
Best for: code quality, readability, architecture decisions.
The coordinator reads each agent's diff (git diff base...agent-branch) and ranks by:
Run metric first. If top agents are within 10% of each other, use LLM judge to break ties.
init → running → evaluating → merged
→ archived (if no winner)State transitions managed by session_manager.py:
| From | To | Trigger |
|---|---|---|
init | running | /hub:spawn completes |
running | evaluating | All agents return |
evaluating | merged | /hub:merge completes |
evaluating | archived | No winner / all failed |
The coordinator should act when:
| Signal | Action |
|---|---|
| All agents crashed | Post failure summary, suggest retry with different constraints |
| No improvement over baseline | Archive session, suggest different approaches |
| Orphan worktrees detected | Run session_manager.py --cleanup {id} |
Session stuck in running | Check board for progress, consider timeout |
# Copy to your Claude Code skills directory
cp -r engineering/agenthub ~/.claude/skills/agenthub
# Or install via ClawHub
clawhub install agenthub| Script | Purpose |
|---|---|
hub_init.py | Initialize .agenthub/ structure and session |
dag_analyzer.py | Frontier detection, DAG graph, branch status |
board_manager.py | Message board CRUD (channels, posts, threads) |
result_ranker.py | Rank agents by metric or diff quality |
session_manager.py | Session state machine and cleanup |
© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 9 other files (scripts, references) in engineering/agenthub/skills/agenthub of alirezarezvani/claude-skills.
Open the folder on GitHubat commit 19392f7
Agenthub next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agenthub this skillalirezarezvani/claude-skills | 28k | — | ~2k | Automated safety check: Pass | MIT | |
| Qwen Code Team CoordinatorQwenLM/qwen-code | 28k | — | ~994 | Automated safety check: Pass | Apache-2.0 | |
| ClawTeam Multi-Agent Swarmwin4r/ClawTeam-OpenClaw | 1.5k | 1 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Clawteamwin4r/ClawTeam-OpenClaw | 1.5k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Puppetmaster Agent Orchestrationprofessorpalmer/Puppetmaster | 467 | — | ~3.2k | Automated safety check: Pass | MIT | |
| O2 Review Loopopenobserve/openobserve | 22k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 |
QwenLM/qwen-code
Leads a small team of Qwen Code teammates: read-only investigators work in parallel, then one writer pinned to a git worktree makes the changes.
win4r/ClawTeam-OpenClaw
Launches a swarm of specialist Hermes agents in git-worktree-isolated tmux windows with a kanban board and file-based inboxes, using built-in templates like hedge-fund and code-review.
win4r/ClawTeam-OpenClaw
Multi-agent swarm orchestration. An agent skill from win4r/ClawTeam-OpenClaw.
professorpalmer/Puppetmaster
Operates and supervises Puppetmaster, a multi-agent orchestrator, through its MCP tools or CLI, picking the right verb for edits, reviews, audits and long-running jobs.
openobserve/openobserve
Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.
fynnfluegge/agtx
Breaks a conversation's results into feature-level tasks and pushes them to the agtx kanban board, where each task gets its own worktree and agent session.
alirezarezvani/claude-skills
Writes INVEST-checked user stories with acceptance criteria, splits epics, plans sprints from velocity and ranks the backlog with a weighted score.
alirezarezvani/claude-skills
OKR cascade toolkit for product leaders: generates aligned company-to-team OKRs from five strategy types and scores how well they line up.
alirezarezvani/claude-skills
App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store.
alirezarezvani/claude-skills
Design AWS architectures for startups using serverless patterns and IaC templates.
alirezarezvani/claude-skills
Calculates attribution, funnel and ROI figures for marketing campaigns with three Python scripts that need only the standard library.
alirezarezvani/claude-skills
Reverse-engineers a frontend, backend or fullstack codebase into a product requirements document with per-page docs, an enum dictionary and an API inventory.
Works with
Categories
Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agenthub is an agent skill from alirezarezvani/claude-skills. Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation.
Agenthub fits situations like: : user wants multiple approaches tried in parallel — code optimization; content variation; research exploration; any task that benefits from parallel competition.
Run `npx skills add alirezarezvani/claude-skills --skill agenthub -a claude-code`. Or copy the skill folder (engineering/agenthub/skills/agenthub in alirezarezvani/claude-skills) into .claude/skills/agenthub in your project. Claude Code loads it when a task matches its description.
Run `npx skills add alirezarezvani/claude-skills --skill agenthub -a codex`. Or copy the skill folder (engineering/agenthub/skills/agenthub in alirezarezvani/claude-skills) into .agents/skills/agenthub in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill agenthub -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agenthub, .gemini/skills/agenthub, .github/skills/agenthub and .opencode/skills/agenthub in your project.
Going by SKILL.md and its folder, Agenthub needs Python for the scripts in its folder and the command-line tools its instructions call (git and python). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Agenthub is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Agenthub: Qwen Code Team Coordinator (QwenLM/qwen-code, 28k stars), ClawTeam Multi-Agent Swarm (win4r/ClawTeam-OpenClaw, 1.5k stars), Clawteam (win4r/ClawTeam-OpenClaw, 1.5k stars) and Puppetmaster Agent Orchestration (professorpalmer/Puppetmaster, 467 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,829 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.
Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.