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agent-swarm-workflowAgent 群工作流程

Agent Skill

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。

总安装

3,026

周安装

130

GitHub Stars

63

下载量

1,061
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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。

来源信息

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