Feishu/Lark message listener for real-time message processing via WebSocket. Use when users need to listen for incoming Feishu messages (text, image, file, p...
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install lark-bot-listenerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install lark-bot-listenerβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/lark-bot-listener/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¬CommunicationPlatforms
What Pywayne Lark Bot Listener can do for your AI workflow
Feishu/lark message listener directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Pywayne Lark Bot Listener
Send a Slack message to the #engineering channel about the deployment
Formats and sends the message with relevant context, tagging the right people
Summarize all unread messages in my inbox from today
Reads messages across connected channels and returns a prioritized summary
Draft a reply to this customer complaint and send it for review
Writes an empathetic, professional response and routes it to the approval queue
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Staying on top of communications across multiple channels is a real challenge for modern teams. Pywayne Lark Bot Listener helps by enabling feishu/lark message listener for real-time message processing via websocket. use when users need to listen for incoming feishu messages (text, image, file, p.. directly from your AI assistant, without switching apps or logging into separate platforms.
Pywayne Lark Bot Listener works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Pywayne Lark Bot Listener once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Pywayne Lark Bot Listener installs like any other MCP skill: drop the folder into `~/.claude/skills/lark-bot-listener/` for global access, or `.claude/skills/lark-bot-listener/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/lark-bot-listener`, or let the AI decide when it's the right tool for your request.
Pywayne Lark Bot Listener has 714 installs and is part of the growing Communication skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/lark-bot-listener/ for personal use (all projects), or .claude/skills/lark-bot-listener/ for project-specific use. Restart your AI client, then invoke with /lark-bot-listener or let the AI discover it automatically.
Pywayne Lark Bot Listener supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Pywayne Lark Bot Listener is free to install. Check the repository for licensing information.
Feishu/Lark message listener for real-time message processing via WebSocket. Use when users need to listen for incoming Feishu messages (text, image, file, p...
Lark Calendar & Tasks
Create, update, and delete calendar events and tasks in Lark (Feishu). Includes employee directory for automatic name-to-user_id resolution.
Lark Integration
Connect Lark (Feishu) messaging to OpenClaw via webhook bridge. Supports text, rich text (post), and image messages bidirectionally. Use when setting up Lark/Feishu as a messaging channel, receiving messages with images, sending replies back to Lark, reading Lark documents/wikis/bitables, or troubleshooting Lark integration issues. Covers both Lark International (larksuite.com) and China Feishu (feishu.cn).
Lark Suite Wiki
Manage and export Lark Suite (Feishu) Wiki/Knowledge Base documents. Read, search, sync with subdocuments, and incremental export to local Markdown files.
Pywayne Lark Bot Listener is categorized under Communication. These skills help AI agents perform specialized tasks in this domain.