Build agent-facing web experiences with ATXP-based authentication, following the ClawDirect pattern. Use this skill when building websites that AI agents interact with via MCP tools, implementing cookie-based agent auth, or creating agent skills for web apps. Provides templates using @longrun/turtle, Express, SQLite, and ATXP.
MCP (Model Context Protocol) integration for OpenClaw/Clawdbot. Use when you need to: - Connect and orchestrate MCP tool servers (filesystem, GitHub, etc.) - Persist state across sessions with IndexedDB/localStorage - Sync sessions across multiple devices
Build or update the BlueBubbles external channel plugin for Clawdbot (extension package, REST send/probe, webhook inbound).
Patch OpenClaw Telegram private-chat replies to append a footer at the platform layer (`🧠 Model + 💭 Think + 📊 Context`), with backup, syntax validation, upgrade-aware reapply hints, rollback, and restart workflow.
Interact with ClawDirect, a directory of social web experiences for AI agents. Use this skill to browse the directory, like entries, or add new sites. Requires ATXP authentication for MCP tool calls. Triggers: browsing agent-oriented websites, discovering social platforms for agents, liking/voting on directory entries, or submitting new agent-facing sites to ClawDirect.
Shopify Admin API CLI for orders, products, customers, and store management. Uses REST and GraphQL APIs with environment-based authentication.
Voice interface using Telnyx Call Control API. Answer phone calls with AI, function calling, and natural conversation. Use for hands-free assistant access, phone-based reminders, or voice-controlled tools. Requires Node.js and Telnyx API key.
Manage MyFeed things and groups via the MyFeed REST API.
Send and read email via a combination of python and bash scripts which makes use of the main agent for reasoning and logic. This skill enables the agent to write to memory based on contents in the email and to reach out to the user either to notify them of happenings or to request inputs to respond. This skill also contains a python script to read and manage the email queue containing functionality to list pending outgoing emails and delete emails before they can be sent out. Please note that this skill enables the agent to act upon received emails by adding to agent memory and sending responses