Token导航 LogoToken导航

Agent Skill · 研究检索

agent-swarm-workflow(Agent 群工作流程)

agent-swarm-workflow 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

agent-swarm-workflow 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 29,628。

总安装 3,026周安装 130GitHub Stars 63下载 1,061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

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:agent-swarm-workflow(Agent 群工作流程)
来源仓库:https://github.com/dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations
仓库路径:skills/agent-swarm-workflow
安装命令:
npx skills add https://github.com/dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations --skill agent-swarm-workflow
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations --skill agent-swarm-workflow

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于并行实现复杂任务的多智能体协作框架。适合基于 Agent Mail 和 Beads 实现自组织与分布式处理。要求预先完成规划与 Beads 准备,依赖 AGENTS.md 配置。建议核验是否会触发联网、命令执行或文件读写后再使用。

agent-swarm-workflow 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/agent-swarm-workflow

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/dicklesworthstone/agent_flywheel_clawdbot_skil…;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

agent-swarm-workflow 怎么安装?

在终端执行 npx skills add https://github.com/dicklesworthstone/agent_flywheel_clawdbot_skills_and_int…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agent-swarm-workflow 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。

agent-swarm-workflow 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 npx skills add https://github.com/dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations --skill agent-swarm-workflow;npx skills add dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations --skill "agent-swarm-workflow" 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。

agent-swarm-workflow 是免费的吗?

来源标注的许可证是 MIT。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。

agent-swarm-workflow 用的人多吗?

公开数据是累计安装 3,026 次,近一周安装 130 次,下载 1,061 次,GitHub 63 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。

agent-swarm-workflow 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
agent-swarm-workflow

Agent 群工作流程 · 本页

3,02663执行命令MIT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

Agent Swarm Workflow — Parallel Implementation

Core Insight: Every agent is fungible and a generalist. They all use the same base model and read the same AGENTS.md. Simply telling one it's a "frontend agent" doesn't make it better at frontend. The swarm is distributed, robust, and self-organizing through Agent Mail and Beads.

Prerequisites

Before starting a swarm:

  1. Comprehensive plan created (see planning-workflow skill)
  2. Polished beads ready (see beads-workflow skill)
  3. AGENTS.md configured with all tool blurbs
  4. Agent Mail server running (am or ~/projects/mcp_agent_mail/scripts/run_server_with_token.sh)
  5. NTM available for session management

The Swarm Architecture

┌─────────────────────────────────────────────────────────────┐
│                         BEADS                               │
│     (Task graph with dependencies, priorities, status)      │
└─────────────────────────────────────────────────────────────┘
                              │
                    ┌─────────┴─────────┐
                    ▼                   ▼
┌─────────────────────────────┐  ┌─────────────────────────┐
│        BV                   │  │     AGENT MAIL          │
│  (What to work on)          │  │  (Coordination layer)   │
└─────────────────────────────┘  └─────────────────────────┘
         │                            │
         └──────────────┬─────────────┘
                        ▼
┌─────────────────────────────────────────────────────────────┐
│                    NTM + AGENTS                             │
│  ┌─────┐  ┌─────┐  ┌─────┐  ┌─────┐  ┌─────┐  ┌─────┐     │
│  │ CC  │  │ CC  │  │ Cod │  │ Gmi │  │ CC  │  │ Cod │     │
│  └─────┘  └─────┘  └─────┘  └─────┘  └─────┘  └─────┘     │
└─────────────────────────────────────────────────────────────┘

Starting the Swarm

Using NTM (Named Tmux Manager)

# Spawn a swarm with multiple agents
ntm spawn myproject --cc=3 --cod=2 --gmi=1

# Send initial prompt to all Claude Code agents
ntm send myproject --cc "$(cat initial_prompt.txt)"

# Or send to all agents
ntm send myproject --all "$(cat initial_prompt.txt)"

Manual Setup

Create tmux sessions/panes for each agent in your project folder.


THE EXACT PROMPT — Initial Agent Marching Orders

Give each agent this EXACT prompt to start:

First read ALL of the AGENTS dot md file and README dot md file super carefully and understand ALL of both! Then use your code investigation agent mode to fully understand the code, and technical architecture and purpose of the project. Then register with MCP Agent Mail and introduce yourself to the other agents.

Be sure to check your agent mail and to promptly respond if needed to any messages; then proceed meticulously with your next assigned beads, working on the tasks systematically and meticulously and tracking your progress via beads and agent mail messages.

Don't get stuck in "communication purgatory" where nothing is getting done; be proactive about starting tasks that need to be done, but inform your fellow agents via messages when you do so and mark beads appropriately.

When you're not sure what to do next, use the bv tool mentioned in AGENTS dot md to prioritize the best beads to work on next; pick the next one that you can usefully work on and get started. Make sure to acknowledge all communication requests from other agents and that you are aware of all active agents and their names.  Use ultrathink.

The Implementation Loop

THE EXACT PROMPT — Move to Next Bead

Once agents complete a bead, use this prompt to keep them moving:

Reread AGENTS dot md so it's still fresh in your mind.   Use ultrathink.   Use bv with the robot flags (see AGENTS dot md for info on this) to find the most impactful bead(s) to work on next and then start on it. Remember to mark the beads appropriately and communicate with your fellow agents. Pick the next bead you can actually do usefully now and start coding on it immediately; communicate what you're working on to your fellow agents and mark beads appropriately as you work. And respond to any agent mail messages you've received.

THE EXACT PROMPT — Self-Review After Bead Completion

Have agents review their work before moving on:

Great, now I want you to carefully read over all of the new code you just wrote and other existing code you just modified with "fresh eyes" looking super carefully for any obvious bugs, errors, problems, issues, confusion, etc. Carefully fix anything you uncover. Use ultrathink.

Keep running this until they stop finding bugs.


Handling Context Compaction

THE EXACT PROMPT — Post-Compaction

When an agent does a compaction, immediately follow up with:

Reread AGENTS dot md so it's still fresh in your mind.   Use ultrathink.

This re-establishes the critical context about tools and workflows.


Quality Review Prompts

THE EXACT PROMPT — Cross-Agent Review

Periodically have agents review each other's work:

Ok can you now turn your attention to reviewing the code written by your fellow agents and checking for any issues, bugs, errors, problems, inefficiencies, security problems, reliability issues, etc. and carefully diagnose their underlying root causes using first-principle analysis and then fix or revise them if necessary? Don't restrict yourself to the latest commits, cast a wider net and go super deep! Use ultrathink.

THE EXACT PROMPT — Random Code Exploration

For deep quality checks:

I want you to sort of randomly explore the code files in this project, choosing code files to deeply investigate and understand and trace their functionality and execution flows through the related code files which they import or which they are imported by.

Once you understand the purpose of the code in the larger context of the workflows, I want you to do a super careful, methodical, and critical check with "fresh eyes" to find any obvious bugs, problems, errors, issues, silly mistakes, etc. and then systematically and meticulously and intelligently correct them.

Be sure to comply with ALL rules in AGENTS dot md and ensure that any code you write or revise conforms to the best practice guides referenced in the AGENTS dot md file. Use ultrathink.

Committing Work

THE EXACT PROMPT — Commit Changes

Have agents commit logically grouped changes:

Now, based on your knowledge of the project, commit all changed files now in a series of logically connected groupings with super detailed commit messages for each and then push. Take your time to do it right. Don't edit the code at all. Don't commit obviously ephemeral files. Use ultrathink.

Post-Bead Completion Prompts

THE EXACT PROMPT — Add Test Coverage

Do we have full unit test coverage without using mocks/fake stuff? What about complete e2e integration test scripts with great, detailed logging? If not, then create a comprehensive and granular set of beads for all this with tasks, subtasks, and dependency structure overlaid with detailed comments.

THE EXACT PROMPT — UI/UX Scrutiny

Great, now I want you to super carefully scrutinize every aspect of the application workflow and implementation and look for things that just seem sub-optimal or even wrong/mistaken to you, things that could very obviously be improved from a user-friendliness and intuitiveness standpoint, places where our UI/UX could be improved and polished to be slicker, more visually appealing, and more premium feeling and just ultra high quality, like Stripe-level apps.

THE EXACT PROMPT — Deep UI/UX Enhancement

I still think there are strong opportunities to enhance the UI/UX look and feel and to make everything work better and be more intuitive, user-friendly, visually appealing, polished, slick, and world class in terms of following UI/UX best practices like those used by Stripe, don't you agree? And I want you to carefully consider desktop UI/UX and mobile UI/UX separately while doing this and hyper-optimize for both separately to play to the specifics of each modality. I'm looking for true world-class visual appeal, polish, slickness, etc. that makes people gasp at how stunning and perfect it is in every way.  Use ultrathink.

Agent Mail Integration

How Agents Coordinate

Each agent:

  1. Registers with Agent Mail at session start
  2. Reserves files before editing (file_reservation_paths)
  3. Announces work via messages with bead ID in thread_id
  4. Checks inbox between tasks
  5. Releases reservations when done

File Reservation Pattern

# Before starting work on a bead
file_reservation_paths(
    project_key="/path/to/project",
    agent_name="GreenCastle",
    paths=["src/auth/**/*.ts"],
    ttl_seconds=3600,
    exclusive=True,
    reason="br-123"
)

# After completing work
release_file_reservations(project_key, agent_name)

Communication Pattern

# Announce starting a bead
send_message(
    project_key, agent_name,
    to=["BlueLake", "RedMountain"],  # Other active agents
    subject="[br-123] Starting auth module",
    body_md="I'm taking br-123. Reserved src/auth/**.",
    thread_id="br-123"
)

# Update on completion
send_message(
    project_key, agent_name,
    to=["BlueLake", "RedMountain"],
    subject="[br-123] Completed",
    body_md="Auth module done and tested. Released file reservations.",
    thread_id="br-123"
)

Using BV for Task Selection

Key Commands

# THE MEGA-COMMAND: Start here
bv --robot-triage

# Just get the single top pick
bv --robot-next

# Get parallel execution tracks (for multi-agent)
bv --robot-plan

# Check for cycles (MUST FIX if found)
bv --robot-insights | jq '.Cycles'

# Find bottlenecks
bv --robot-insights | jq '.bottlenecks'

CRITICAL: Never run bare bv — it launches interactive TUI that blocks the session.


Quality Loops

Run Until Clean

Keep running these prompts in rounds until they consistently come back with no changes:

  1. Self-review — Agent reviews own code
  2. Cross-review — Agent reviews other agents' code
  3. Random exploration — Deep dive into random code paths

The Steady-State Signal

When all three types of reviews return clean (no bugs found, no changes made), the code is likely solid.


Complete Prompt Reference

Initial Marching Orders

First read ALL of the AGENTS dot md file and README dot md file super carefully and understand ALL of both! Then use your code investigation agent mode to fully understand the code, and technical architecture and purpose of the project. Then register with MCP Agent Mail and introduce yourself to the other agents.

Be sure to check your agent mail and to promptly respond if needed to any messages; then proceed meticulously with your next assigned beads, working on the tasks systematically and meticulously and tracking your progress via beads and agent mail messages.

Don't get stuck in "communication purgatory" where nothing is getting done; be proactive about starting tasks that need to be done, but inform your fellow agents via messages when you do so and mark beads appropriately.

When you're not sure what to do next, use the bv tool mentioned in AGENTS dot md to prioritize the best beads to work on next; pick the next one that you can usefully work on and get started. Make sure to acknowledge all communication requests from other agents and that you are aware of all active agents and their names.  Use ultrathink.

Move to Next Bead

Reread AGENTS dot md so it's still fresh in your mind.   Use ultrathink.   Use bv with the robot flags (see AGENTS dot md for info on this) to find the most impactful bead(s) to work on next and then start on it. Remember to mark the beads appropriately and communicate with your fellow agents. Pick the next bead you can actually do usefully now and start coding on it immediately; communicate what you're working on to your fellow agents and mark beads appropriately as you work. And respond to any agent mail messages you've received.

Self-Review

Great, now I want you to carefully read over all of the new code you just wrote and other existing code you just modified with "fresh eyes" looking super carefully for any obvious bugs, errors, problems, issues, confusion, etc. Carefully fix anything you uncover. Use ultrathink.

Cross-Review

Ok can you now turn your attention to reviewing the code written by your fellow agents and checking for any issues, bugs, errors, problems, inefficiencies, security problems, reliability issues, etc. and carefully diagnose their underlying root causes using first-principle analysis and then fix or revise them if necessary? Don't restrict yourself to the latest commits, cast a wider net and go super deep! Use ultrathink.

Random Exploration

I want you to sort of randomly explore the code files in this project, choosing code files to deeply investigate and understand and trace their functionality and execution flows through the related code files which they import or which they are imported by.

Once you understand the purpose of the code in the larger context of the workflows, I want you to do a super careful, methodical, and critical check with "fresh eyes" to find any obvious bugs, problems, errors, issues, silly mistakes, etc. and then systematically and meticulously and intelligently correct them.

Be sure to comply with ALL rules in AGENTS dot md and ensure that any code you write or revises conforms to the best practice guides referenced in the AGENTS dot md file. Use ultrathink.

Post-Compaction

Reread AGENTS dot md so it's still fresh in your mind.   Use ultrathink.

Commit Changes

Now, based on your knowledge of the project, commit all changed files now in a series of logically connected groupings with super detailed commit messages for each and then push. Take your time to do it right. Don't edit the code at all. Don't commit obviously ephemeral files. Use ultrathink.

Test Coverage

Do we have full unit test coverage without using mocks/fake stuff? What about complete e2e integration test scripts with great, detailed logging? If not, then create a comprehensive and granular set of beads for all this with tasks, subtasks, and dependency structure overlaid with detailed comments.

UI/UX Scrutiny

Great, now I want you to super carefully scrutinize every aspect of the application workflow and implementation and look for things that just seem sub-optimal or even wrong/mistaken to you, things that could very obviously be improved from a user-friendliness and intuitiveness standpoint, places where our UI/UX could be improved and polished to be slicker, more visually appealing, and more premium feeling and just ultra high quality, like Stripe-level apps.

Deep UI/UX Enhancement

I still think there are strong opportunities to enhance the UI/UX look and feel and to make everything work better and be more intuitive, user-friendly, visually appealing, polished, slick, and world class in terms of following UI/UX best practices like those used by Stripe, don't you agree? And I want you to carefully consider desktop UI/UX and mobile UI/UX separately while doing this and hyper-optimize for both separately to play to the specifics of each modality. I'm looking for true world-class visual appeal, polish, slickness, etc. that makes people gasp at how stunning and perfect it is in every way.  Use ultrathink.

The Flywheel in Action

PLAN ──► BEADS ──► SWARM ──► REVIEW ──► COMMIT
  │                  │          │         │
  │                  │          └────┬────┘
  │                  │               │
  │                  └───── REPEAT ──┘
  │                              │
  │         v2 PLAN ◄────────────┘
  │              │
  └──────────────┘

Each cycle improves:

  • CASS remembers solutions
  • CM distills patterns
  • UBS catches more issues
  • BV shows graph health

FAQ

Q: How do agents know what to work on? A: They use bv --robot-triage or bv --robot-next to find the highest-impact ready bead.

Q: How do they avoid conflicts? A: File reservations in Agent Mail. Exclusive reservations block others; the pre-commit guard enforces it.

Q: What if an agent crashes or forgets? A: Every agent is fungible. Start a new session, read AGENTS.md, check bead status, continue.

Q: How many agents should I run? A: Depends on project complexity. Start with 3-6. More agents = faster but more coordination overhead.

Q: What model mix works best? A: Mix recommended. Try 3 Claude Code (Opus), 2 Codex (GPT 5.2), 1 Gemini. They have different strengths.

Q: Do agents need individual areas of expertise? A: No, every agent is fungible and a generalist. Simply telling one it's a frontend agent doesn't make it better at frontend.

Q: Is there traceability between git commit and bead? A: Yes, bv automatically does this analysis and links beads to relevant git commits by analyzing the stream of data and making logical deductions.

平台分布

Claude Code

28.18%
按下载量换算299

Gemini CLI

23.3%
按下载量换算247

OpenCode

18.71%
按下载量换算199

Antigravity

14.13%
按下载量换算150

Codex

8.68%
按下载量换算92

windsurf

3.74%
按下载量换算40

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations --skill agent-swarm-workflow;npx skills add dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations --skill "agent-swarm-workflow" 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。

继续浏览同类 Skills