Agent skill

Feishu Multi Agent

by hyperlist in hyperlist/feishu-multi-agent

飞书多 Agent 系统搭建指南。当用户要求创建新的功能 Agent、配置飞书群聊绑定、 搭建多 Agent 协作系统时激活此 skill。

No licenceAuto-check passedProductivity & Automation

Install Feishu Multi Agent

skills CLI
$ npx skills add hyperlist/feishu-multi-agent --skill feishu-multi-agent -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hyperlist/feishu-multi-agent feishu-multi-agent --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
feishu-multi-agent
GitHub stars
273
Token cost
~419 tokens
SKILL.md length
87 words
Files
49 (incl. scripts)
Skills in repo
5
Repo updated
First seen
Licence
None found

At a glance

飞书多 Agent 系统搭建指南。当用户要求创建新的功能 Agent、配置飞书群聊绑定、 搭建多 Agent 协作系统时激活此 skill。

  • Works in 5 steps: 不要一次读所有文件 — 按需读取,节省上下文 → 不要跳过信息收集 — 缺少 app_id/open_id 后面全部会失败 → 修改 openclaw.json 必须包含所有 Agent —… → …
  • Tasks that involve Messaging and chat bots
  • SKILL.md covers 你要做什么, 读取顺序(严格按顺序), ⚠️ 关键注意事项 and 🔧 项目维护(仅供维护者)
  • Calls python3

What it does

Feishu Multi Agent is an agent skill from hyperlist/feishu-multi-agent. 飞书多 Agent 系统搭建指南。当用户要求创建新的功能 Agent、配置飞书群聊绑定、 搭建多 Agent 协作系统时激活此 skill。 触发词:创建 agent、新建 agent、添加 agent、create agent、多 agent、飞书绑定。

Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. The skill folder holds 50 other files, including scripts (for example `01-architecture.md`, `02-feishu-setup.md` and `03-agent-binding.md`).

It sits in Productivity & Automation, covering Messaging and chat bots, Building AI agents and Multi-agent orchestration. It works with Feishu (Lark). The repository describes itself as: 飞书多 Agent 协作方案 - 基于 OpenClaw.

When your agent uses it

  • Tasks that involve Messaging and chat bots
  • Tasks that involve Building AI agents
  • Tasks that involve Multi-agent orchestration

Example prompts

  • “/feishu-multi-agent”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 不要一次读所有文件 — 按需读取,节省上下文
  2. 不要跳过信息收集 — 缺少 app_id/open_id 后面全部会失败
  3. 修改 openclaw.json 必须包含所有 Agent — agents.list 是整体替换,遗漏 = 丢失
  4. 创建群聊后必须注册 — 加 binding + groups 配置 + 重启 gateway
  5. Bot 创建的文档必须授权 — 否则用户看不到

What it can do on your machine

Read from SKILL.md and the folder at commit 9a2cb9c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Feishu Multi Agent loads about 419 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 87 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~419

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.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 87 words (~419 tokens).

“帮用户搭建「一个飞书 Bot → 多个独立 AI Agent」的系统。每个 Agent 绑定一个飞书群聊,互相独立,可以通信。”

— opening of SKILL.md by hyperlist
name
feishu-multi-agent

Read the full SKILL.md on GitHub

Files

SKILL.md and 48 other files (scripts) in the repository root of hyperlist/feishu-multi-agent.

  • SKILL.md
  • .gitignore
  • 01-architecture.md
  • 02-feishu-setup.md
  • 03-agent-binding.md
  • 04-agent-communication.md
  • 05-feishu-doc.md
  • 06-feishu-chat-management.md
  • 07-feishu-message-format.md
  • 08-skill-organization.md
  • 09-best-practices.md
  • 10-setup-wizard.md
  • 11-troubleshooting.md
  • INDEX.md
  • README.md
  • examples/PLACEHOLDERS.md
  • examples/agent-identity-template.md
  • examples/agent-soul-template.md
  • examples/coder-agent/AGENTS.md
  • … and 30 more

Open the folder on GitHubat commit 9a2cb9c

Compare with similar skills

Feishu Multi Agent 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.

Feishu Multi Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Feishu Multi Agent this skillhyperlist/feishu-multi-agent273—~419Automated safety check: PassNone
A2a Protocolinternet-court/internet-court-skill6.4k1 repos~2.5kAutomated safety check: PassApache-2.0
Slack Agent-to-Agent Roomsnanocoai/nanoclaw31k—~3kAutomated safety check: NotesMIT
Slack Agent Creation Flownanocoai/nanoclaw31k—~4.2kAutomated safety check: NotesMIT
Feishu UI State Machine Guardrailkxn/codex-remote-feishu328—~1.2kAutomated safety check: PassNone
Cline SDK Guidecline/cline70k—~2.2kAutomated safety check: PassApache-2.0

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  • Lets two or more NanoClaw Slack bots and a human share a group DM, with an allowlist of rooms and a hop limit that stops bots looping on each other.

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  • Feishu UI State Machine Guardrail

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More from hyperlist/feishu-multi-agent

  • Feishu Doc Writer

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    Feishu document writing skill. An agent skill from hyperlist/feishu-multi-agent.

    273 GitHub stars~505 tokensUpdated 7 mo ago
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  • Delegate Agent

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    273 GitHub stars~290 tokensUpdated 7 mo ago
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  • Feishu Chat

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    飞书群聊管理:创建群、添加/移除成员、修改群信息。需要 exec 权限执行 curl 命令. An agent skill from hyperlist/feishu-multi-agent.

    273 GitHub stars~452 tokensUpdated 7 mo ago
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  • Agent Comm

    hyperlist/feishu-multi-agent

    跨 Agent 通信。当用户说"问XX"、"让XX做"、"发给XX"、"check agent status"时使用. An agent skill from hyperlist/feishu-multi-agent.

    273 GitHub stars~274 tokensUpdated 7 mo ago
    Auto-check passed

Works with

Questions about Feishu Multi Agent

What does Feishu Multi Agent do?

飞书多 Agent 系统搭建指南。当用户要求创建新的功能 Agent、配置飞书群聊绑定、 搭建多 Agent 协作系统时激活此 skill。. Feishu Multi Agent is an agent skill from hyperlist/feishu-multi-agent.

When should I use Feishu Multi Agent?

Feishu Multi Agent fits situations like: tasks that involve Messaging and chat bots; tasks that involve Building AI agents; tasks that involve Multi-agent orchestration.

How do I install Feishu Multi Agent in Claude Code?

Run `npx skills add hyperlist/feishu-multi-agent --skill feishu-multi-agent -a claude-code`. Or copy the skill folder (the hyperlist/feishu-multi-agent repository) into .claude/skills/feishu-multi-agent in your project. Claude Code loads it when a task matches its description.

How do I install Feishu Multi Agent in Codex?

Run `npx skills add hyperlist/feishu-multi-agent --skill feishu-multi-agent -a codex`. Or copy the skill folder (the hyperlist/feishu-multi-agent repository) into .agents/skills/feishu-multi-agent in your project. Codex loads it when a task matches its description.

Can I use Feishu Multi Agent in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hyperlist/feishu-multi-agent --skill feishu-multi-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feishu-multi-agent, .gemini/skills/feishu-multi-agent, .github/skills/feishu-multi-agent and .opencode/skills/feishu-multi-agent in your project.

What does Feishu Multi Agent need to run?

Going by SKILL.md and its folder, Feishu Multi Agent needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Feishu Multi Agent access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Feishu Multi Agent safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Feishu Multi Agent use?

No licence was found for Feishu Multi Agent or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Feishu Multi Agent use?

About 419 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Feishu Multi Agent?

Skills that share tags, products or a category with Feishu Multi Agent: A2a Protocol (internet-court/internet-court-skill, 6.4k stars), Slack Agent-to-Agent Rooms (nanocoai/nanoclaw, 31k stars), Slack Agent Creation Flow (nanocoai/nanoclaw, 31k stars) and Feishu UI State Machine Guardrail (kxn/codex-remote-feishu, 328 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Feishu Multi Agent?

hyperlist (a GitHub user) maintains it in hyperlist/feishu-multi-agent, which has 273 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on March 10, 2026.

Source: hyperlist/feishu-multi-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.