跳到正文
cccskills
免费在 GitHub 公开

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.

中文简介正在准备中。当前显示原文说明。

TerminalSkills/skills
集成工具DiscordSlackTelegram
查看安装方法

包含的文件（2）

  • SKILL.md4.3 KB
  • _scores.json1.3 KB

SKILL.md（原文）

安装前可以查看交给 AI 代理的指令内容。

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

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护，适用 Google 的隐私权政策和服务条款。

同一仓库的技能

3dsmax-rendering

免费

Scripts and configures production rendering in Autodesk 3ds Max with the V-Ray and Corona renderers: output size and files, render elements, denoising, light mix, batch and command-line rendering, and network rendering. Use when a user asks to set up a production render, render several cameras in one batch, render from the command line or on a render farm, add render passes for compositing, or cut render time for archviz and product shots.

中文简介正在准备中。当前显示原文说明。

TerminalSkills/skills1722026年10月14日 更新

3dsmax-scripting

免费

Covers scripting Autodesk 3ds Max, the 3D modeling and rendering application, with MAXScript and Python (pymxs): scene manipulation, object creation, material assignment, camera and light setup, batch operations, and file I/O. Use when tasks involve automating repetitive 3ds Max workflows, batch processing scenes, running scripts headless with 3dsmaxbatch, creating custom tools, or scripting scene setup for archviz, product visualization, or VFX.

中文简介正在准备中。当前显示原文说明。

TerminalSkills/skills1722026年10月14日 更新

3proxy

免费

3proxy is a small open-source proxy server that runs HTTP/HTTPS, SOCKS4/5, SNI and TCP/UDP port-mapping proxies from one config file. Use when a user asks to set up an HTTP or SOCKS5 proxy, add proxy users and passwords, write 3proxy access rules, chain or rotate upstream (parent) proxies, limit bandwidth, connections or monthly traffic per user, run 3proxy in Docker, or fix a 3proxy.cfg that will not start.

中文简介正在准备中。当前显示原文说明。

TerminalSkills/skills1722026年10月14日 更新

a2a-protocol

免费

Builds Agent2Agent (A2A) servers and clients, the open protocol (originally from Google, now under the Linux Foundation) that lets AI agents from different frameworks call each other. Use when the user wants to create an A2A-compliant agent, build an Agent Card, implement task management, connect agents across frameworks, set up agent discovery, handle streaming responses, implement push notifications, or orchestrate multi-agent workflows. Trigger words: a2a, agent to agent, agent2agent, a2a protocol, a2a server, a2a client, agent card, agent interoperability, agent collaboration, multi-agent, agent discovery, a2a sdk, a2a task.

中文简介正在准备中。当前显示原文说明。

TerminalSkills/skills1722026年10月14日 更新

ab-test-setup

免费

Plans a controlled experiment (A/B test) so its result can be trusted: writes the hypothesis, picks one primary metric and the guardrails, computes sample size and run time, specifies how visitors are assigned and when exposure is logged, and reads out the result with a confidence interval. Use when someone says "set up an A/B test", "split test this page", "how many visitors do I need", "how long should the experiment run", "is this result significant", "can I stop the test early", or wants to test a headline, price, layout or onboarding change against the current version.

中文简介正在准备中。当前显示原文说明。

TerminalSkills/skills1722026年10月14日 更新

ably

免费

Ably is a hosted realtime messaging service: clients publish and subscribe to named channels over WebSockets, see who is present, replay message history, and resume after a dropped connection. Use when a user asks to "add realtime updates", "push live notifications to the browser", "show who is online", "add a chat room with typing indicators", "publish from a serverless function", or "authenticate Ably clients without exposing the API key". Covers the ably 2.x JavaScript SDK (Realtime and REST), JWT token authentication, presence, history and rewind, batch publishing, and the @ably/chat 1.x SDK.

中文简介正在准备中。当前显示原文说明。

TerminalSkills/skills1722026年10月14日 更新

查看 TerminalSkills 的全部技能

报告此技能的问题