Agent skill

Feishu Channel

by aAAaqwq in aAAaqwq/AGI-Super-Team

飞书 (Lark/Feishu) 与 OpenClaw 的双向集成通道。通过飞书机器人实现消息的接收和发送,支持私聊、群聊、@提及检测、卡片消息、文件传输。当需要通过飞书与 AI 助手交互、接收飞书消息触发 AI 响应、或从 OpenClaw 发送消息到飞书时使用此技能。与 feishu-automation 的区别:本 skill 专注于消息通道集成,feishu-automation…

MITAuto-check: notesProductivity & Automation

Install Feishu Channel

skills CLI
$ npx skills add aAAaqwq/AGI-Super-Team --skill feishu-channel -a claude-code

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

GitHub CLI
$ gh skill install aAAaqwq/AGI-Super-Team feishu-channel --agent claude-code

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

Manual copy
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/feishu-channel .claude/skills/feishu-channel && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

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

Facts

Skill name
feishu-channel
GitHub stars
105
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
260 words
Files
6 (incl. scripts, references)
Skills in repo
167
Repo updated
First seen
Licence
MIT

At a glance

飞书 (Lark/Feishu) 与 OpenClaw 的双向集成通道。通过飞书机器人实现消息的接收和发送,支持私聊、群聊、@提及检测、卡片消息、文件传输。当需要通过飞书与 AI 助手交互、接收飞书消息触发 AI 响应、或从 OpenClaw 发送消息到飞书时使用此技能。与 feishu-automation 的区别:本 skill 专注于消息通道集成,feishu-automation…

  • Works in 10 steps: 飞书机器人应用 → Webhook 服务 → 消息发送 API → …
  • Tasks that involve Messaging and chat bots
  • SKILL.md covers 与 feishu-automation 的区别, 架构概述, 核心组件 and 快速开始, plus 5 more sections
  • Runs JavaScript scripts from its folder; calls npm and curl; reaches open.feishu.cn; needs FEISHU_APP_SECRET and FEISHU_VERIFICATION_TOKEN

What it does

Feishu Channel is an agent skill from aAAaqwq/AGI-Super-Team. 飞书 (Lark/Feishu) 与 OpenClaw 的双向集成通道。通过飞书机器人实现消息的接收和发送,支持私聊、群聊、@提及检测、卡片消息、文件传输。当需要通过飞书与 AI 助手交互、接收飞书消息触发 AI 响应、或从 OpenClaw 发送消息到飞书时使用此技能。与 feishu-automation 的区别:本 skill 专注于消息通道集成,feishu-automation 专注于飞书平台自动化操作(多维表格、文档等)。

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `TODO.md`, `package.json` and `references/feishu-api.md`).

It sits in Productivity & Automation, covering Messaging and chat bots. It works with Feishu (Lark). The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

When your agent uses it

  • Tasks that involve Messaging and chat bots

Example prompts

  • “/feishu-channel”

Requirements

  • Node.js
  • A credential in FEISHU_APP_SECRET
  • A credential in FEISHU_VERIFICATION_TOKEN
  • Pre-approved tools (allowed-tools): mcp__lark-mcp_*, Bash, Read, Write, Edit

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. 飞书机器人应用
  2. Webhook 服务
  3. 消息发送 API
  4. 创建飞书应用
  5. 配置事件订阅
  6. 部署 Webhook 服务
  7. 发布应用
  8. 智能问答机器人
  9. 工作流通知
  10. 审批流程

What it can do on your machine

Read from SKILL.md and the folder at commit 7cefd81. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • mcp__lark-mcp_*
    • Bash
    • Read
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

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

    Shell commands in SKILL.md call:

    • npm
    • curl

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • open.feishu.cn

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • FEISHU_APP_SECRET
    • FEISHU_VERIFICATION_TOKEN
    • FEISHU_ENCRYPT_KEY
    • OPENCLAW_WEBHOOK_SECRET

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

Context cost

Feishu Channel loads about 2k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 260 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:85
    cp .env.example .env
  • NoteMentions a .env fileSKILL.md:86
    # 编辑 .env 填入配置
  • NoteMentions a .env fileSKILL.md:98
    ### 环境变量 (.env)
  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: mcp__lark-mcp_*, Bash, Read, Write, Edit

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

The full file from aAAaqwq/AGI-Super-Team at commit 7cefd81, republished under its MIT licence (© aAAaqwq). 260 words, ~2,042 tokens.

Download SKILL.mdSave it as .claude/skills/feishu-channel/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
feishu-channel
description
飞书 (Lark/Feishu) 与 OpenClaw 的双向集成通道。通过飞书机器人实现消息的接收和发送,支持私聊、群聊、@提及检测、卡片消息、文件传输。当需要通过飞书与 AI 助手交互、接收飞书消息触发 AI 响应、或从 OpenClaw 发送消息到飞书时使用此技能。与 feishu-automation 的区别:本 skill 专注于消息通道集成,feishu-automation 专注于飞书平台自动化操作(多维表格、文档等)。
allowed-tools
mcp__lark-mcp_*, Bash, Read, Write, Edit

飞书 Channel 集成

将飞书接入 OpenClaw,实现双向消息通道。

与 feishu-automation 的区别

特性feishu-channelfeishu-automation
主要用途消息通道集成平台自动化操作
消息接收✅ Webhook 事件订阅❌ 不支持
消息发送✅ 实时对话✅ 通知推送
多维表格❌ 不涉及✅ 完整支持
文档管理❌ 不涉及✅ 完整支持
适用场景AI 对话机器人数据同步、自动化工作流

架构概述

┌─────────────┐     ┌──────────────────┐     ┌─────────────┐
│   飞书用户   │ ←→  │   飞书开放平台    │ ←→  │  OpenClaw   │
│  (私聊/群聊) │     │   (Webhook)      │     │   Gateway   │
└─────────────┘     └──────────────────┘     └─────────────┘
                           ↓
                    ┌──────────────────┐
                    │   Webhook 服务    │
                    │   - 事件验证      │
                    │   - 消息解析      │
                    │   - 格式转换      │
                    └──────────────────┘

核心组件

1. 飞书机器人应用

在飞书开放平台创建的企业自建应用,负责:

  • 接收用户消息(通过事件订阅)
  • 发送消息(通过消息 API)
  • 管理权限和安全
2. Webhook 服务

接收飞书事件推送,转发给 OpenClaw Gateway。

3. 消息发送 API

通过 lark-mcp 工具或直接调用飞书 API 发送消息。

快速开始

前置条件
  • 飞书开放平台账号
  • 企业自建应用(机器人能力)
  • OpenClaw Gateway 运行中
  • 公网可访问的 Webhook URL(或使用内网穿透)
1. 创建飞书应用
  1. 访问 飞书开放平台
  2. 创建企业自建应用
  3. 添加「机器人」能力
  4. 配置权限(见下方权限列表)
  5. 获取 App ID 和 App Secret
2. 配置事件订阅
  1. 在应用管理页面,进入「事件订阅」
  2. 配置请求地址:https://your-domain.com/webhook/feishu
  3. 订阅事件:
    • im.message.receive_v1 - 接收消息
    • im.message.message_read_v1 - 消息已读(可选)
3. 部署 Webhook 服务
bash
cd /home/aa/clawd/skills/feishu-channel
npm install
cp .env.example .env
# 编辑 .env 填入配置
npm start
4. 发布应用
  1. 在飞书开放平台提交审核
  2. 审核通过后发布
  3. 在飞书中搜索并添加机器人

配置说明

环境变量 (.env)
env
# 飞书应用配置 (必需)
FEISHU_APP_ID=cli_xxxxxxxxxx
FEISHU_APP_SECRET=xxxxxxxxxxxxxxxxxxxxxxxx

# 事件订阅验证 Token
FEISHU_VERIFICATION_TOKEN=xxxxxxxxxxxxxxxx
# 事件加密 Key (可选,推荐启用)
FEISHU_ENCRYPT_KEY=xxxxxxxxxxxxxxxx

# OpenClaw Gateway 配置
OPENCLAW_GATEWAY_URL=http://127.0.0.1:18789
OPENCLAW_WEBHOOK_SECRET=your_webhook_secret

# 安全配置
# 允许的用户 open_id (逗号分隔,留空允许所有)
ALLOWED_USERS=ou_xxx,ou_yyy
# 允许的群聊 chat_id (逗号分隔,留空允许所有)
ALLOWED_GROUPS=oc_xxx,oc_yyy

# 群聊行为
REQUIRE_MENTION_IN_GROUP=true

# 服务端口
PORT=3002

# 日志级别
LOG_LEVEL=info
飞书应用权限
权限说明必需
im:message获取与发送单聊、群组消息✅
im:message.group_at_msg接收群聊中@机器人消息✅
im:message.p2p_msg接收用户发给机器人的单聊消息✅
im:chat获取群组信息推荐
contact:user.base获取用户基本信息推荐
im:resource获取与上传图片或文件资源可选
OpenClaw 配置 (openclaw.json)
json
{
  "channels": {
    "feishu": {
      "enabled": true,
      "appId": "cli_xxxxxxxxxx",
      "appSecret": "env:FEISHU_APP_SECRET",
      "webhookUrl": "https://your-domain.com/webhook/feishu",
      "dmPolicy": "allowlist",
      "allowFrom": ["ou_xxx", "ou_yyy"],
      "groups": {
        "oc_xxx": {
          "name": "工作群",
          "requireMention": true
        }
      }
    }
  }
}

消息格式

接收消息 (Webhook Event)

飞书原始事件格式:

json
{
  "schema": "2.0",
  "header": {
    "event_id": "xxx",
    "event_type": "im.message.receive_v1",
    "create_time": "1706745600000",
    "token": "verification_token",
    "app_id": "cli_xxx"
  },
  "event": {
    "sender": {
      "sender_id": {
        "open_id": "ou_xxx",
        "user_id": "xxx",
        "union_id": "on_xxx"
      },
      "sender_type": "user"
    },
    "message": {
      "message_id": "om_xxx",
      "root_id": "",
      "parent_id": "",
      "create_time": "1706745600000",
      "chat_id": "oc_xxx",
      "chat_type": "group",
      "message_type": "text",
      "content": "{\"text\":\"@_user_1 你好\"}",
      "mentions": [
        {
          "key": "@_user_1",
          "id": {
            "open_id": "ou_bot"
          },
          "name": "OpenClaw助手"
        }
      ]
    }
  }
}

转换后的 OpenClaw 格式:

json
{
  "type": "message",
  "channel": "feishu",
  "messageId": "om_xxx",
  "from": {
    "id": "ou_xxx",
    "name": "张三"
  },
  "chat": {
    "id": "oc_xxx",
    "type": "group",
    "name": "工作群"
  },
  "text": "你好",
  "mentions": ["ou_bot"],
  "isMentioned": true,
  "timestamp": 1706745600000
}
发送消息
使用 lark-mcp 工具
javascript
// 发送文本消息
await mcp__lark-mcp_sendMessage({
  receive_id: "ou_xxx",  // 或 oc_xxx (群聊)
  receive_id_type: "open_id",  // 或 chat_id
  msg_type: "text",
  content: JSON.stringify({
    text: "收到,正在处理..."
  })
});

// 发送富文本消息
await mcp__lark-mcp_sendMessage({
  receive_id: "oc_xxx",
  receive_id_type: "chat_id",
  msg_type: "post",
  content: JSON.stringify({
    zh_cn: {
      title: "任务完成",
      content: [
        [
          { tag: "text", text: "已完成 " },
          { tag: "a", text: "查看详情", href: "https://example.com" }
        ]
      ]
    }
  })
});

// 发送卡片消息
await mcp__lark-mcp_sendMessage({
  receive_id: "oc_xxx",
  receive_id_type: "chat_id",
  msg_type: "interactive",
  content: JSON.stringify({
    config: { wide_screen_mode: true },
    header: {
      template: "turquoise",
      title: { content: "通知", tag: "plain_text" }
    },
    elements: [
      {
        tag: "div",
        text: { content: "**重要通知**", tag: "lark_md" }
      },
      {
        tag: "action",
        actions: [
          {
            tag: "button",
            text: { content: "确认", tag: "plain_text" },
            type: "primary"
          }
        ]
      }
    ]
  })
});
使用 HTTP API
bash
# 发送文本消息
curl -X POST "https://open.feishu.cn/open-apis/im/v1/messages?receive_id_type=open_id" \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "receive_id": "ou_xxx",
    "msg_type": "text",
    "content": "{\"text\":\"Hello!\"}"
  }'

安全策略

事件验证

飞书事件订阅支持两种验证方式:

  1. Verification Token: 简单的 Token 验证
  2. Encrypt Key: AES 加密(推荐)
javascript
// 验证示例
function verifyEvent(body, token) {
  if (body.token !== token) {
    throw new Error('Invalid verification token');
  }
}

// 解密示例
function decryptEvent(encrypt, key) {
  const crypto = require('crypto');
  const decipher = crypto.createDecipheriv(
    'aes-256-cbc',
    crypto.createHash('sha256').update(key).digest(),
    Buffer.alloc(16, 0)
  );
  return JSON.parse(
    decipher.update(encrypt, 'base64', 'utf8') + decipher.final('utf8')
  );
}
私聊策略
策略说明
open允许所有人私聊(危险)
allowlist仅允许 allowFrom 列表中的用户
群聊策略
配置说明
requireMention: true必须@机器人才响应
allowFrom群内允许触发的用户列表

使用场景

1. 智能问答机器人
用户: @OpenClaw助手 帮我查一下今天的会议安排
Bot: 今天的会议安排:
- 10:00 产品评审会 (会议室A)
- 14:00 技术分享会 (线上)
- 16:00 周例会 (会议室B)
2. 工作流通知
javascript
// 当任务完成时发送通知
await mcp__lark-mcp_sendMessage({
  receive_id: "oc_work_group",
  receive_id_type: "chat_id",
  msg_type: "interactive",
  content: JSON.stringify({
    header: {
      template: "green",
      title: { content: "✅ 任务完成", tag: "plain_text" }
    },
    elements: [
      {
        tag: "div",
        text: { content: "数据同步任务已完成\n处理记录: 1,234 条", tag: "lark_md" }
      }
    ]
  })
});
3. 审批流程
用户: @OpenClaw助手 提交请假申请,明天休息一天
Bot: 已收到请假申请,正在提交审批...
     [卡片消息: 请假申请详情 + 审批按钮]

故障排查

Webhook 无法接收消息
  1. 检查 Webhook URL 是否公网可访问
  2. 检查 Verification Token 是否正确
  3. 查看飞书开放平台的事件推送日志
  4. 确认应用已发布且用户已添加机器人
消息发送失败
  1. 检查 App ID 和 App Secret
  2. 确认应用权限已开启
  3. 检查 access_token 是否过期
  4. 查看 API 返回的错误码
权限不足
  1. 在飞书开放平台检查应用权限
  2. 确认权限已审核通过
  3. 重新获取 access_token

限制说明

飞书平台限制
  • API 调用频率限制(参考官方文档)
  • 消息长度限制
  • 文件大小限制
功能限制
  • 不支持语音消息
  • 卡片消息交互需要额外配置回调
  • 部分高级功能需要企业认证

相关文件

  • scripts/feishu-webhook.js - Webhook 服务代码
  • .env.example - 环境变量模板
  • references/feishu-api.md - 飞书 API 参考
  • references/message-types.md - 消息类型说明

TODO

  • 创建飞书应用并获取凭证
  • 配置事件订阅
  • 部署 Webhook 服务
  • 测试私聊消息收发
  • 测试群聊 @提及
  • 配置安全策略
  • 实现卡片消息交互

© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/feishu-channel of aAAaqwq/AGI-Super-Team.

  • SKILL.md
  • TODO.md
  • package.json
  • references/feishu-api.md
  • references/message-types.md
  • scripts/feishu-webhook.js

Open the folder on GitHubat commit 7cefd81

Used in 1 other repository

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Feishu Channel 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 Channel compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Feishu Channel this skillaAAaqwq/AGI-Super-Team1051 repos~2kAutomated safety check: NotesMIT
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Feishu Docraucvr/Group-Goki1123 repos~592Automated safety check: PassMIT
Feishu Driveraucvr/Group-Goki1123 repos~587Automated safety check: PassMIT
Feishu Permraucvr/Group-Goki1123 repos~630Automated safety check: PassMIT
Feishu Safety GuideSafeAI-Lab-X/ClawKeeper1k—~3.6kAutomated safety check: PassNone

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    105 GitHub starsUsed in 3 repos~1.9k tokens
    Auto-check passed
  • Financial Calculator

    aAAaqwq/AGI-Super-Team

    Advanced financial calculator with future value tables, present value, discount calculations, markup pricing, and compound interest.

    105 GitHub starsUsed in 1 repo~1.5k tokens
    Auto-check passed
  • Bankr Signals

    aAAaqwq/AGI-Super-Team

    Transaction-verified trading signals on Base blockchain. An agent skill from aAAaqwq/AGI-Super-Team.

    105 GitHub starsUsed in 2 repos~3.3k tokens
    Auto-check passed
  • Erc 8004

    aAAaqwq/AGI-Super-Team

    Register AI agents on Ethereum mainnet using ERC-8004 (Trustless Agents).

    105 GitHub starsUsed in 2 repos~1.2k tokens
    Auto-check passed
  • Frontend Design Ultimate

    aAAaqwq/AGI-Super-Team

    Create distinctive, production-grade static sites with React, Tailwind CSS, and shadcn/ui — no mockups needed.

    105 GitHub starsUsed in 2 repos~2.7k tokens
    Auto-check passed
  • Zsxq Smart Publish

    aAAaqwq/AGI-Super-Team

    Publish and manage content on 知识星球 (zsxq.com). An agent skill from aAAaqwq/AGI-Super-Team.

    105 GitHub stars~1.5k tokensUpdated yesterday
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Works with

Questions about Feishu Channel

What does Feishu Channel do?

飞书 (Lark/Feishu) 与 OpenClaw 的双向集成通道。通过飞书机器人实现消息的接收和发送,支持私聊、群聊、@提及检测、卡片消息、文件传输。当需要通过飞书与 AI 助手交互、接收飞书消息触发 AI 响应、或从 OpenClaw 发送消息到飞书时使用此技能。与 feishu-automation 的区别:本 skill 专注于消息通道集成,feishu-automation…. Feishu Channel is an agent skill from aAAaqwq/AGI-Super-Team.

When should I use Feishu Channel?

Feishu Channel fits situations like: tasks that involve Messaging and chat bots.

How do I install Feishu Channel in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill feishu-channel -a claude-code`. Or copy the skill folder (skills/feishu-channel in aAAaqwq/AGI-Super-Team) into .claude/skills/feishu-channel in your project. Claude Code loads it when a task matches its description.

How do I install Feishu Channel in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill feishu-channel -a codex`. Or copy the skill folder (skills/feishu-channel in aAAaqwq/AGI-Super-Team) into .agents/skills/feishu-channel in your project. Codex loads it when a task matches its description.

Can I use Feishu Channel 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 aAAaqwq/AGI-Super-Team --skill feishu-channel -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-channel, .gemini/skills/feishu-channel, .github/skills/feishu-channel and .opencode/skills/feishu-channel in your project.

What does Feishu Channel need to run?

Going by SKILL.md and its folder, Feishu Channel needs JavaScript for the scripts in its folder, the command-line tools its instructions call (npm and curl) and credentials named FEISHU_APP_SECRET, FEISHU_VERIFICATION_TOKEN, FEISHU_ENCRYPT_KEY and OPENCLAW_WEBHOOK_SECRET. Our summary lists: Node.js; A credential in FEISHU_APP_SECRET; A credential in FEISHU_VERIFICATION_TOKEN. Its frontmatter pre-approves these tools: mcp__lark-mcp_*, Bash, Read, Write, Edit.

Does Feishu Channel access the network?

SKILL.md names 1 domain. In commands or code: open.feishu.cn; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Feishu Channel safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. 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 Channel use?

Feishu Channel is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Feishu Channel use?

About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3k tokens, read only when the agent opens those files.

What are the alternatives to Feishu Channel?

Skills that share tags, products or a category with Feishu Channel: Feishu Doc (openclaw/openclaw, 392k stars), Feishu Doc (raucvr/Group-Goki, 112 stars), Feishu Drive (raucvr/Group-Goki, 112 stars) and Feishu Perm (raucvr/Group-Goki, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Feishu Channel?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.