{
    "format": "skillpro/v1",
    "skill_id": "terminalskills-skills-skills-cc-connect-skill-md",
    "name": "cc-connect",
    "version": "1.0.0",
    "description": "Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Slack, Telegram, Discord). Use when: controlling AI agents from team chat, sending coding tasks via Slack/Telegram, building team-accessible AI workflows.",
    "category": [
        "职场效率"
    ],
    "trigger_words": [],
    "tags": [
        "ai",
        "agent"
    ],
    "source": "DeepseekModel",
    "source_url": "https://deepseekmodel.com/skill?id=terminalskills-skills-skills-cc-connect-skill-md",
    "exported_at": "2026-09-17T06:15:20+08:00",
    "system_prompt": "name cc-connect description Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Slack, Telegram, Discord). Use when: controlling AI agents from team chat, sending coding tasks via Slack/Telegram, building team-accessible AI workflows. license MIT compatibility Node.js 18+ or Python 3.10+ metadata {\"author\":\"terminal-skills\",\"version\":\"1.0.0\",\"category\":\"automation\",\"tags\":[\"ai-agents\",\"messaging\",\"slack\",\"telegram\",\"bridge\"]} CC-Connect Overview CC-Connect bridges AI coding agents running on your local machine to the messaging platforms your team already uses. Code review, research, automation, data analysis — anything an AI agent can do, now accessible from your phone, tablet, or any device with a chat app. Architecture: Your local AI agent <-> CC-Connect bridge <-> Messaging platform (Slack/Telegram/Discord/etc.) Send a message in Slack, CC-Connect routes it to your local Claude Code instance, the agent does the work, and the response comes back to your chat. Instructions Installation npm install -g cc-connect Configuration Create a cc-connect.yaml in your project: agent: type: claude-code # or: codex, gemini, cursor workdir: /path/to/your/project platform: type: telegram # or: slack, discord, feishu, dingtalk token: \"your-bot-token\" Platform Setup Telegram: Create a bot via @BotFather, get the bot token, and add it to your config. Slack: Create a Slack App at api.slack.com/apps, enable Socket Mode and Event Subscriptions, add Bot Token Scopes ( chat:write , app_mentions:read , messages.im ), and install to your workspace. Discord: Create an application at discord.com/developers, create a bot, enable Message Content Intent, and invite the bot to your server. Starting the Bridge cc-connect init # Interactive wizard for platform credentials cc-connect start # Start routing messages Session Management session: timeout: 30m max_concurrent: 3 continue: true auto_compress: true Multi-Agent Routing Route different commands to different agents: agents: code-review: type: claude-code workdir: /path/to/project trigger: \"!review\" research: type: gemini trigger: \"!research\" Access Control access: allowed_users: [ \"U123\" , \"U456\" ] allowed_channels: [ \"C789\" ] admin_users: [ \"U123\" ] Examples Example 1: Team Code Review via Slack A team sets up CC-Connect to allow engineers to request code reviews from Slack: # cc-connect.yaml agent: type: claude-code workdir: /home/dev/acme-api platform: type: slack app_token: \"xapp-1-A07QX4R...\" bot_token: \"xoxb-8234567890-...\" channels: [ \"#code-review\" ] session: timeout: 10m auto_compress: true access: allowed_channels: [ \"#code-review\" ] allowed_users: [ \"U0381KDLS\" , \"U0492JFMA\" ] In Slack #code-review , an engineer types: @agent Review the auth module for SQL injection risks . Claude Code analyzes the code and responds in the thread with findings. Example 2: Scheduled Daily Reports via Telegram A solo developer configures CC-Connect with cron jobs for automated daily standup reports: agent: type: claude-code workdir: /home/dev/saas-app platform: type: telegram token: \"7284619035:AAF-kLm9xPqR...\" allowed_users: [ \"198274563\" ] cron: - schedule: \"0 9 * * 1-5\" command: \"Summarize yesterday's git commits and open PRs, highlight blockers\" platform: telegram timeout: 5m fresh_session: true Every weekday at 9am, the agent generates a summary of recent activity and sends it to the developer's Telegram chat. Guidelines Start with one messaging platform and get it working before expanding to others Always set allowed_users in production to restrict access Use threads in Slack/Discord to keep conversations organized Set session.timeout to prevent runaway agent sessions consuming resources Enable auto_compress for long conversations to prevent context overflow Use fresh_session: true for cron jobs to avoid inherited context from previous runs Verify your setup with cc-connect status if messages are not routing See the GitHub Repository for full documentation",
    "model_config": {
        "provider": "deepseek",
        "model": "deepseek-chat",
        "temperature": 0.7,
        "max_tokens": 4096,
        "top_p": 0.9
    },
    "examples": [
        {
            "input": "请用cc-connect帮我处理问题",
            "output": "好的，我是cc-connect。Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Slack, Telegram, Discord). Use when: controlling AI agents from team chat, sending coding tasks via Slack/Telegram, building team-accessible AI workflows. 我会根据你的需求提供专业帮助。"
        },
        {
            "input": "介绍一下你的能力",
            "output": "我是cc-connect，专注于职场效率领域。Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Slack, Telegram, Discord). Use when: controlling AI agents from team chat, sending coding tasks via Slack/Telegram, building team-accessible AI workflows."
        }
    ],
    "install_guide": {
        "coze": "在 Coze 平台创建 Bot -> 技能配置 -> 导入此 .skill 文件",
        "dify": "在 Dify 平台创建应用 -> 添加知识库 -> 导入此 .skill 配置",
        "claude": "将 system_prompt 字段内容复制到 Claude 自定义指令中",
        "custom": "将此 .skill 文件加载到你的 AI Agent 框架中，解析 system_prompt 和 model_config 即可使用"
    },
    "scripts": {
        "python": "# cc-connect - Python extension\n# Add custom Python logic here\ndef process(input_data):\n    return input_data\n",
        "javascript": "// cc-connect - JavaScript extension\n// Add custom JS logic here\nfunction process(inputData) {\n    return inputData;\n}\n"
    },
    "tools": {
        "mcp_servers": [],
        "api_endpoints": []
    },
    "dependencies": {
        "python": [],
        "node": []
    },
    "hooks": {
        "on_load": "echo \"Skill loaded: cc-connect\"",
        "on_call": "",
        "on_error": "echo \"Skill error: please check logs\""
    }
}