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Agent Skill · 开发

matz-swarm(马茨群)

matz-swarm 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

matz-swarm 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 2,867。

总安装 14,038周安装 603GitHub Stars 公开资料未说明下载 4,920核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.1.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:matz-swarm(马茨群)
来源仓库:https://github.com/matzoh/matz-swarm
安装命令:
openclaw skills install matz-swarm
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install matz-swarm

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

协调 Obsidian 任务与 GitLab MR 的多项目自动化编码流程。集成 Claude 编码、Codex 审查与合并发布全链路管理。适用于分布式团队协作与敏捷开发项目管理。安装命令:openclaw skills install matz-swarm。

需配置 GitLab Token 与 Obsidian API 接入点。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install matz-swarm;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

matz-swarm 怎么安装?

在终端执行 openclaw skills install matz-swarm。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

matz-swarm 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

matz-swarm 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install matz-swarm 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

matz-swarm 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

matz-swarm 用的人多吗?

公开数据是累计安装 14,038 次,近一周安装 603 次,下载 4,920 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

matz-swarm 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
matz-swarm

马茨群 · 本页

14,038—执行命令MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
matz-swarm
description
Orchestrate OpenClaw Agent Swarm workflows for multi-project coding automation. Use when user says "合并"/"merge" replying to a PR_READY notification, spawns a coding task, or asks about agent/task/MR status. Covers: Obsidian task intake, Claude coding, Codex review, GitLab MR flow, merge+sync, done-status closure.

Agent Swarm Orchestrator

Multi-project coding automation: Obsidian task intake → Claude Code → Codex review → GitLab MR → merge + sync.

Architecture

Obsidian note (status: ready)
  → scan-obsidian.sh (cron 5min)
    → spawn-agent.sh
      ├── git worktree + branch
      ├── prompt file (task + context.md)
      └── tmux session → run-agent.sh
                            ├── claude -p "$PROMPT" | tee log
                            └── review-and-push.sh
                                  ├── codex review (graded)
                                  ├── push + glab mr create --yes
                                  └── notification → Telegram

merge-and-sync.sh (manual trigger)
  ├── glab mr merge <iid>
  ├── sync-project-main.sh (fast-forward local main)
  └── check-agents.sh (background) → mark done + send notification

check-agents.sh (cron 3min / called by merge-and-sync)
  ├── dead tmux + commits → trigger review
  ├── >60min → timeout notification
  └── MR merged → mark done in tasks.json + .notification → Telegram

Core Paths

PathPurpose
~/agent-swarm/Control plane (scripts, registry, tasks)
~/agent-swarm/registry.jsonProject configs (repo, paths, branch)
~/agent-swarm/tasks.jsonTask state machine
~/GitLab/repos/Local repos
~/GitLab/worktrees/Per-task worktrees
~/Documents/Obsidian Vault/agent-swarm/Task intake notes

Scripts

ScriptPurpose
spawn-agent.shCreate worktree + prompt + tmux → run-agent
run-agent.shclaude -p → check commits → trigger review
review-and-push.shCodex review → graded fix → push → MR
check-agents.shCron + post-merge: detect done/stuck, mark done, send notification
scan-obsidian.shParse Obsidian notes, spawn status: ready tasks
send-notifications.shSend .notification files via OpenClaw CLI
merge-and-sync.shMerge MR + sync local main
sync-project-main.shFast-forward local repo to origin/main
new-project.shInitialize project (GitLab + registry + context + Obsidian)
cleanup.shDaily archive old tasks, clean worktrees/logs

Usage

Spawn task

~/agent-swarm/scripts/spawn-agent.sh <project> "<task description>"

Monitor

tmux attach -t agent-<task-id>        # live output
tail -f ~/agent-swarm/logs/<task-id>.log  # log file

Merge and sync

~/agent-swarm/scripts/merge-and-sync.sh <project> <mr-iid>

New project

~/agent-swarm/scripts/new-project.sh <project-name>

Task Lifecycle

starting → running → [no-output | reviewing]
reviewing → [ready_to_merge | review-error | needs-manual-fix | fixing]
fixing → reviewing (retry, max 2)
ready_to_merge → done (auto on MR merged)

Prerequisites

Claude Code CLI

  • Authenticated via OAuth (~/.claude.json oauthAccount)
  • ~/.claude/settings.json: skipDangerousModePermissionPrompt: true
  • ~/.claude.json projects: trust ~/GitLab/worktrees and ~/GitLab/repos (hasTrustDialogAccepted: true)
  • No ANTHROPIC_* env vars leaking into tmux (causes proxy conflicts)

Tools

  • claude CLI (Claude Code)
  • codex CLI (OpenAI Codex, for review)
  • glab CLI (GitLab)
  • jq, python3, tmux

Cron

PATH=/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin
*/3 * * * * ~/agent-swarm/scripts/check-agents.sh
*/5 * * * * ~/agent-swarm/scripts/scan-obsidian.sh
0 3 * * * ~/agent-swarm/scripts/cleanup.sh

Notifications

Configure in ~/agent-swarm/registry.json:

{
  "notifyMethod": "openclaw",
  "notifyChannel": "telegram",
  "notifyTarget": "<chat_id>"
}

swarm_notify() in config.sh reads these values and calls:

openclaw message send --channel telegram --target <chat_id> --message "..."

⚠️ Do NOT use >/dev/null 2>&1 in swarm_notify — errors must be visible so failed sends are not silently marked as sent.

Prompt Template

Each task gets a prompt file with:

  1. Project name, task description, priority
  2. Working directory and branch
  3. Project context (from context.md)
  4. Standard instructions (commit, push, MR, update context.md if architectural changes)

Obsidian Integration

  • Frontmatter status: active | stop controls project scanning
  • Task block: ### Task Name + status: ready + > description
  • ### INIT_PROJECT + status: ready triggers new-project.sh
  • Dedup: sha1(project+name+desc)[:12], flagged in logs
  • Debounce: skip files modified within last 1 minute

Review Policy

  • Coding: Claude Code (-p mode, auto-exit)
  • Review: Codex (codex exec review)
  • CRITICAL/HIGH: auto-fix retry (max 2), then needs-manual-fix
  • MEDIUM: auto-fix (non-blocking), skip for docs-only
  • LOW: notes in MR description only
  • Docs-only: downgrade CRITICAL/HIGH to MEDIUM

Portable Install

mkdir -p ~/agent-swarm/{scripts,logs,projects}
cp -f <skill_dir>/scripts/*.sh ~/agent-swarm/scripts/
chmod +x ~/agent-swarm/scripts/*.sh
echo '{"projects":{}}' > ~/agent-swarm/registry.json
echo '{"tasks":[]}' > ~/agent-swarm/tasks.json

Then: register projects in registry.json, set cron, configure notifications.

Intent → Action Mapping

When a user message matches one of these intents, take the corresponding action immediately without asking for confirmation:

User saysContextAction
"合并" / "merge" / "merge it"Replied to a PR_READY notificationExtract <project> and <mr-iid> from the notification, run merge-and-sync.sh <project> <mr-iid>
"起任务" / "spawn" / "新任务"With a task descriptionRun spawn-agent.sh <project> "<desc>"
"查状态" / "check status"AnyRun check-agents.sh and summarize output
"新项目" / "new project"With a project nameRun new-project.sh <project-name>

Extracting MR info from PR_READY notifications

PR_READY notifications follow this format:

✅ PR_READY
Project: <project>
Task: <desc>
Task ID: <task-id>
Branch: <branch>
MR: https://gitlab.com/.../-/merge_requests/<mr-iid> | Review ...

Extract Project → <project>, and the number at the end of the MR URL → <mr-iid>.

Guardrails

You are the dispatcher, not the analyst

When a user reports an issue or requests a change to project code:

  • ❌ Do NOT read project source code to analyze
  • ❌ Do NOT diagnose root causes yourself
  • ❌ Do NOT design technical solutions
  • ✅ Understand the user's intent and translate it into a clear task description
  • ✅ Pass user feedback verbatim to the agent (e.g. "tiles didn't get bigger")
  • ✅ Spawn the task, monitor progress, merge MRs, maintain the swarm system

The coding agent runs in a full worktree with complete project context — it is better positioned to read code, diagnose issues, and implement fixes than you are from a chat session.

Other rules

  • Do not edit project code directly — always go through spawn-agent
  • Push-first + cron-fallback notification design
  • State names: done, ready_to_merge, review-error, needs-manual-fix
  • Context.md auto-update for new features, gameplay changes, and architectural changes (skip trivial config/formatting)

平台分布

OpenClaw

85.74%
按下载量换算4,218

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install matz-swarm 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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