ClawTeam Multi-Agent Swarm
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.
Feature auto-development — clarify requirements, generate spec, dispatch dev sub-agent to implement and merge into current branch
$ npx skills add ZhangShenao/harness9 --skill autodev -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZhangShenao/harness9 autodev --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/ZhangShenao/harness9.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/autodev .claude/skills/autodev && 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 "autodev" agent skill from https://github.com/ZhangShenao/harness9/tree/master/skills/autodev into .claude/skills/autodev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodev", 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/ZhangShenao/harness9/tree/master/skills/autodevType 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 ZhangShenao/harness9 --skill autodev -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZhangShenao/harness9 autodev --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZhangShenao/harness9.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/autodev .agents/skills/autodev && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "autodev" agent skill from https://github.com/ZhangShenao/harness9/tree/master/skills/autodev into .agents/skills/autodev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodev", 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 ZhangShenao/harness9 --skill autodev -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZhangShenao/harness9 autodev --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZhangShenao/harness9.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/autodev .cursor/skills/autodev && 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 "autodev" agent skill from https://github.com/ZhangShenao/harness9/tree/master/skills/autodev into .cursor/skills/autodev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodev", 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/ZhangShenao/harness9.git --path skills/autodev--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 ZhangShenao/harness9 --skill autodev -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZhangShenao/harness9 autodev --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZhangShenao/harness9.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/autodev .gemini/skills/autodev && 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 "autodev" agent skill from https://github.com/ZhangShenao/harness9/tree/master/skills/autodev into .gemini/skills/autodev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodev", 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 ZhangShenao/harness9 autodevInstalls 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 ZhangShenao/harness9 --skill autodev -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZhangShenao/harness9.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/autodev .github/skills/autodev && 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 "autodev" agent skill from https://github.com/ZhangShenao/harness9/tree/master/skills/autodev into .github/skills/autodev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodev", 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 ZhangShenao/harness9 --skill autodev -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZhangShenao/harness9 autodev --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZhangShenao/harness9.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/autodev .opencode/skills/autodev && 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 "autodev" agent skill from https://github.com/ZhangShenao/harness9/tree/master/skills/autodev into .opencode/skills/autodev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodev", 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.
autodevFeature auto-development — clarify requirements, generate spec, dispatch dev sub-agent to implement and merge into current branch
Autodev is an agent skill from ZhangShenao/harness9. Feature auto-development — clarify requirements, generate spec, dispatch dev sub-agent to implement and merge into current branch
Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Subagents, Requirements gathering and Git worktrees. It works with Git. The repository describes itself as: Local-First · 轻量级 · 功能完备 · 生产可用的通用 Agent 框架. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit f73d0f1. 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.
Shell commands in SKILL.md call:
gitgoFrom 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.
Autodev loads about 606 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 145 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 noted patterns worth knowing about, such as sudo or a known installer.
# 若未设置或不含 golang,提示用户在 .env 中添加: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); files beside SKILL.md are not scanned.
The full file from ZhangShenao/harness9 at commit f73d0f1, republished under its MIT licence (© ZhangShenao). 145 words, ~606 tokens.
.claude/skills/autodev/SKILL.md (or your agent's skills folder).当用户输入 /autodev <功能描述> 时,你按以下三个阶段工作。
首先用 read_file 读取 AGENTS.md,了解项目当前模块、架构和规范(重点:第 4 节项目结构、第 5 节开发流程)。
然后向用户提 2-3 个关键澄清问题,每次只问一个:
2-3 轮澄清后直接进入 Phase 2,不要过度追问。
以如下格式生成并展示 spec:
## Feature Spec: <标题>
### 功能描述
<简洁描述该功能做什么>
### 实现范围
新增文件:
- internal/<pkg>/<file>.go
- internal/<pkg>/<file>_test.go
修改文件:
- cmd/harness9/main.go(如需注册新工具)
### 验收标准
- [ ] go build ./... 通过
- [ ] go test ./... 通过
- [ ] (如涉及 Agent 行为)internal/evals/dataset/ 新增 eval 用例
### 不在范围内
- <明确列出不做的事>展示完成后,输出以下提示,不要调用任何工具,直接结束本轮回复(TUI 会自动等待用户输入):
请确认 spec(输入「确认」继续实现),或告知需要修改的地方。
如果用户要求修改,更新 spec 后重新展示,再次等待确认。 只有用户明确输入「确认」后才进入 Phase 3。
依次用 bash 执行以下检查,任一失败则停下来告知用户并等待修复:
# 检查 Go 已安装(项目要求 1.25+)
go version# 检查 git 可用
git --version如果 SANDBOX_ENABLED=true,还需检查 Go 镜像是否配置:
echo "SANDBOX_IMAGE=${SANDBOX_IMAGE:-未设置}"
# 若未设置或不含 golang,提示用户在 .env 中添加:
# SANDBOX_IMAGE=golang:1.25-bookworm从 spec 标题生成 slug(全小写,空格替换为 -,去掉非 ASCII 字母数字字符),然后执行:
示例:"Add WebSocket 支持" → "add-websocket-"(中文字符去掉)→ 可简化为 "add-websocket-support"
git worktree add .autodev/<slug> -b feature/autodev-<slug>用 bash 获取绝对路径:
readlink -f .autodev/<slug>调用 task 工具委派 dev sub-agent:
task("dev", "以下是需要实现的 Feature Spec:\n\n<spec 全文>\n\n工作目录(git worktree 绝对路径):<worktreePath>")成功(sub-agent 返回 AUTODEV_RESULT: SUCCESS):
从 sub-agent 返回结果中提取 BRANCH: <branch-name>,然后执行合并:
# 将 feature 分支合并到当前分支
git merge feature/autodev-<slug>若合并成功:
<slug>」git worktree remove .autodev/<slug>若合并产生冲突:
<slug>,请手动解决冲突」git worktree remove .autodev/<slug> --force失败(sub-agent 报告无法通过测试):
<slug>,可用 cd .autodev/<slug> 进入排查」git worktree remove .autodev/<slug> --force© ZhangShenao, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/autodev of ZhangShenao/harness9.
Open the folder on GitHubat commit f73d0f1
Autodev 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 |
|---|---|---|---|---|---|---|
| Autodev this skillZhangShenao/harness9 | 141 | — | ~606 | Automated safety check: Notes | MIT | |
| ClawTeam Multi-Agent Swarmwin4r/ClawTeam-OpenClaw | 1.5k | 1 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Agent Deckasheshgoplani/agent-deck | 1k | — | ~1.7k | 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 | |
| Badstephenleo/bmad-autonomous-development | 107 | — | ~7.7k | Automated safety check: Pass | MIT |
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.
asheshgoplani/agent-deck
agent-deck, the terminal session manager for AI coding agents.
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.
stephenleo/bmad-autonomous-development
BMad Autonomous Development — orchestrates parallel story implementation pipelines.
vlinx-io/VelaTerm
Explicitly spawn a standalone child session under the current vlx-term session, passing the task in as its first message (mirrors spawntask).
ZhangShenao/harness9
A skill your agent uses when asked about harness9 architecture, module design, or how components interact — explains the system design
ZhangShenao/harness9
A skill your agent uses when debugging Go errors, test failures, or unexpected behavior — step-by-step diagnosis approach
ZhangShenao/harness9
A skill your agent uses when the user invokes /pr or asks to push changes and open a pull request, after commits are ready to be pushed to a remote branch and merged into the main branch.
ZhangShenao/harness9
A skill your agent uses when writing or reviewing Go code — explains harness9 project coding conventions and patterns
ZhangShenao/harness9
A skill your agent uses when the user invokes /commit or asks to commit changes, after a code review has been completed and the changes are confirmed ready to stage and commit to git.
ZhangShenao/harness9
A skill your agent uses when the user invokes /cr, requests a code review, or before committing to verify correctness, security, and quality of new or modified code in the working tree.
Works with
Categories
Feature auto-development — clarify requirements, generate spec, dispatch dev sub-agent to implement and merge into current branch. Autodev is an agent skill from ZhangShenao/harness9.
Autodev fits situations like: tasks that involve Subagents; tasks that involve Requirements gathering; tasks that involve Git worktrees.
Run `npx skills add ZhangShenao/harness9 --skill autodev -a claude-code`. Or copy the skill folder (skills/autodev in ZhangShenao/harness9) into .claude/skills/autodev in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ZhangShenao/harness9 --skill autodev -a codex`. Or copy the skill folder (skills/autodev in ZhangShenao/harness9) into .agents/skills/autodev 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 ZhangShenao/harness9 --skill autodev -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autodev, .gemini/skills/autodev, .github/skills/autodev and .opencode/skills/autodev in your project.
Going by SKILL.md and its folder, Autodev needs the command-line tools its instructions call (git and go).
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 notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Autodev is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 606 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Autodev: ClawTeam Multi-Agent Swarm (win4r/ClawTeam-OpenClaw, 1.5k stars), Agent Deck (asheshgoplani/agent-deck, 1k 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.
ZhangShenao (a GitHub user) maintains it in ZhangShenao/harness9, which has 141 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 8, 2026.
Source: ZhangShenao/harness9 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.