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Agent Skill · 待分类

grove-multi-agent(格罗夫多 Agent)

grove-multi-agent 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

grove-multi-agent 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 10,303。

总安装 210周安装 9GitHub Stars 17下载 73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
unknown

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:grove-multi-agent(格罗夫多 Agent)
来源仓库:https://github.com/chrisbanes/grove
仓库路径:skills/grove-multi-agent
安装命令:
npx skills add https://github.com/chrisbanes/grove --skill grove-multi-agent
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/chrisbanes/grove --skill grove-multi-agent

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

grove-multi-agent 用于处理 GitHub 仓库、Issue 和 Pull Request 等协作信息。适用于围绕仓库状态、代码变更或协作事项进行整理的场景。可结合来源仓库和原始 README 进一步核验具体用法。安装前需确认权限范围和维护状态,避免触发命令执行或文件读写。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/grove-multi-agent

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/chrisbanes/grove --skill grove-multi-agent;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

grove-multi-agent 怎么安装?

在终端执行 npx skills add https://github.com/chrisbanes/grove --skill grove-multi-agent。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

grove-multi-agent 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

grove-multi-agent 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

grove-multi-agent 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

grove-multi-agent 用的人多吗?

公开数据是累计安装 210 次,近一周安装 9 次,下载 73 次,GitHub 17 星。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。

grove-multi-agent 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
grove-multi-agent

格罗夫多 Agent · 本页

21017只读未明确通过

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

I'm using the grove-multi-agent skill to orchestrate parallel agents across isolated Grove workspaces.

When to Use This Skill

digraph {
    "Multiple tasks?" [shape=diamond];
    "Independent?" [shape=diamond];
    "grove-multi-agent" [shape=box];
    "Sequential execution" [shape=box];
    "Single grove:using-grove" [shape=box];

    "Multiple tasks?" -> "Single grove:using-grove" [label="1 task"];
    "Multiple tasks?" -> "Independent?" [label="2+ tasks"];
    "Independent?" -> "grove-multi-agent" [label="yes"];
    "Independent?" -> "Sequential execution" [label="no - shared state"];
}

Use grove-multi-agent only when tasks are truly independent: no shared file modifications, no ordering dependencies between them.

Workflow

Step 1: Receive tasks

Accept a list of independent tasks. Tasks may come from a decomposed plan, directly from the user, or from a dispatching agent (e.g., superpowers:dispatching-parallel-agents). Each task must be a self-contained unit of work.

Step 2: Validate independence

Before creating any workspaces, review the task list for overlapping file scope. If two tasks would modify the same file or directory, they are not truly independent.

  • If overlap is detected: warn the user, identify the conflicting tasks, and ask whether to proceed (by serializing those tasks) or restructure the plan.
  • If no overlap: continue.

Step 3: Determine branch prefix

Use the current branch name as the prefix, or ask the user for one. Workspace branches will follow the pattern:

agent/<prefix>/<task-slug>

Example: if the prefix is feature/auth-overhaul and the task is "Add OAuth login", the branch becomes agent/feature-auth-overhaul/add-oauth-login.

Step 4: Create N workspaces

For each task, run:

grove create --branch agent/<prefix>/<task-slug> --json

Collect the path and id from each JSON response:

{
  "id": "abc1",
  "path": "/tmp/grove/myapp/abc1",
  "branch": "agent/<prefix>/<task-slug>",
  "created_at": "2026-02-17T10:20:00Z",
  "golden_copy": "/Users/chris/dev/myapp"
}

Store a mapping of task -> workspace path and workspace ID for later use.

Step 5: Dispatch N subagents

Issue one Task tool call per workspace, all in parallel (not sequentially). Use the subagent prompt template below.

Subagent prompt template:

Task tool (general-purpose):
  description: "Task N: <task-name>"
  prompt: |
    You are working in a Grove workspace at <workspace-path>.

    cd <workspace-path>

    Your task: <full task description>

    Instructions:
    1. Implement the task
    2. Write tests
    3. Verify tests pass
    4. Commit your work
    5. Report back: what you changed, test results, any concerns

Each subagent operates in isolation. It cannot see or affect other workspaces.

Step 6: Collect results

Wait for all subagents to return. Gather each agent's summary: files changed, test results, and any concerns raised.

Step 7: Review for conflicts

Even if tasks were validated as independent in Step 2, verify that agents did not unexpectedly edit overlapping files (e.g., due to generated files, lock file updates, or auto-formatters touching shared files).

Compare the changed file lists across workspaces. If conflicts are found, flag them before proceeding to cleanup.

Step 8: Report results

Present a summary of what each agent accomplished:

  • Task name and workspace branch
  • Files changed
  • Test outcome (pass / fail / skipped)
  • Any concerns the subagent raised

Flag any failures clearly so the user can decide how to handle them.

Step 9: Present cleanup options

Present these options for the set of workspaces as a whole, plus individual handling if needed:

  1. Push all branches and create PRs
  2. Keep all workspaces for manual review
  3. Destroy all workspaces
  4. Handle individually (step through each workspace one at a time using grove:finishing-grove-workspace)

For option 1, derive each PR title from the branch name and body from commit summaries since the golden copy:

git push -u origin <branch>
gh pr create --title "<title>" --body "<body>"
grove destroy <workspace-id>

Quick Reference

CommandPurpose
grove create --branch <name> --jsonCreate a workspace, capture path and ID
grove listList all active workspaces
grove destroy <id>Remove a workspace
gh pr create --title "<t>" --body "<b>"Open a PR from a pushed branch

Common Mistakes

  • Dispatching agents that need to modify shared files — if two tasks touch the same file, they will produce conflicting commits that cannot be cleanly merged. Validate independence first.
  • Not validating task independence before dispatch — skipping Step 2 means conflicts surface after agents have done work, wasting compute and time.
  • Forgetting to collect and review results from all agents before cleanup — destroying workspaces before reviewing agent output means losing work. Always complete Steps 6-8 before any cleanup.
  • Creating workspaces sequentially instead of dispatching agents in parallel — the workspaces must all exist before dispatching; but subagent Task calls should all be issued in one parallel batch, not one at a time.
  • Using this skill for dependent tasks — if Task B needs output from Task A, use sequential execution with grove:using-grove instead.

Red Flags

  • Agents reporting conflicting changes to the same file — the task decomposition was not truly independent. Pause cleanup, review the conflicts manually, and resolve before pushing.
  • Multiple agents failing with similar errors — this may indicate a systemic issue with the golden copy (stale build state, broken tests at baseline). Run grove update on the golden copy and retry.
  • Running out of workspace slots — Grove enforces a max_workspaces limit from .grove/config.json. If the limit is hit, create and dispatch agents in batches, or increase the limit with grove config.
  • Subagent returns without committing — the agent may have encountered test failures or blocking issues. Check the agent's concern report before treating the workspace as complete.

Key Difference from dispatching-parallel-agents

superpowers:dispatching-parallel-agents runs agents in parallel but they share the same working directory. grove-multi-agent gives each agent its own isolated workspace with warm build state — agents can build, modify files, and run tests without interfering with each other. Use this skill when agents need build isolation, not just logical separation.

Integration

  • Uses: grove create and grove destroy CLI commands
  • Requires: Grove initialized in the repo (grove:grove-config) and CLI available (grove:grove-doctor)
  • Complements: superpowers:dispatching-parallel-agents — same parallel dispatch pattern, but with isolated workspaces instead of a shared directory
  • Each subagent should follow: superpowers:test-driven-development
  • Cleanup follows: grove:finishing-grove-workspace for individual workspace resolution

平台分布

Codex

34.62%
按下载量换算25

Claude

28.9%
按下载量换算21

Cursor

18.91%
按下载量换算14

Gemini CLI

8.59%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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