Skill UI

A comprehensive toolkit to automate core Slack workspace operations. Users can manage messaging (sending, updating, replying), perform advanced message searches, list and manage channels and users, and handle reactions and threaded conversations. Ideal for integrating Slack into automated business workflows.

Automates Basecamp project management, to-do creation, messaging, and people handling via Rube MCP and Composio toolkits, enforcing prerequisite schema discovery before running workflows.

Catalogs 42 cloud-agnostic design patterns that architects can apply when designing, reviewing, or operating distributed systems to boost reliability, performance, messaging, security, and deployment outcomes.

Guides teams through testing messaging and word choice to find defensible market positioning, using a phased Crawl-Walk-Run rollout plus word-change experiments to accelerate enterprise deals.

A comprehensive guide providing best practices for Git workflows, covering adaptation strategies for major Chinese platforms (Gitee, Coding.net, etc.), branch naming conventions, standardized commit messaging (Chinese Conventional Commits), and CI/CD integration across various domestic environments. Helps streamline development processes for Chinese teams.

This skill integrates the Clawdbot agent with the LINE messaging platform, enabling robust communication capabilities. It supports core messaging actions such as sending text, sending files, and replying to user messages. This is highly useful for developing AI agents and bots marketed to regions like Japan, Taiwan, Thailand, and Indonesia.

This skill integrates the agent with the Matrix/Element messaging platform. It enables full conversational capabilities, allowing users to receive real-time alerts, search content, and control connected systems (such as cameras) directly from a designated Matrix room. It supports multi-turn interactions, including sending files, reacting, editing, and managing threads.

This skill integrates an AI agent (Clawdbot) with Signal, one of the most private messaging platforms. It enables automated communication by utilizing the signal-cli tool to perform actions such as sending messages, sending files, reacting, and replying within a designated chat channel. Ideal for building secure, automated bot interactions in private messaging environments.

This skill provides comprehensive programmatic management of the Intercom conversation lifecycle. It allows users to create, reply (as admin or contact), assign, tag, close, and snooze support conversations. It is essential for developers building robust customer support automation, integrating CRM systems, or implementing advanced workflow management features.

This guide provides comprehensive, step-by-step instructions for deploying Intercom-powered applications and webhooks to major cloud platforms like Vercel, Fly.io, and Google Cloud Run. It covers secure secret management, configuring platform-specific webhook endpoints, and implementing robust health checks, ensuring seamless and resilient production integration for messaging and support systems.

Lambda is a compact, machine-native communication protocol specifically designed for agent-to-agent (A2A) messaging. It functions as a shared, unambiguous vocabulary built from 'atoms' (2-character codes), completely bypassing the need for human natural language interpretation. It is ideal for orchestrators, task delegation, and logging structured coordination signals (like heartbeats or state changes) in multi-agent systems. Crucially, Lambda is intended only for machine communication, not for user-facing dialogue.

A deep dive into handling typed content blocks (text, image, tool_use, thinking, document) in LangChain 1.0. This skill standardizes multi-modal message composition, tool-call iteration, and complex content handling across providers like Claude, GPT-4o, and Gemini, solving key API discrepancies.