Skill UI

Implements robust content policy compliance for generative AI prompts and outputs, such as those from Kling AI. This skill provides pre-submission filtering functionality, preventing the generation of restricted content (e.g., violence, explicit material, hate speech) and saving API credits. It includes Python code examples for prompt screening and handling server-side rejection messages.

Automate RingCentral calls, messages, meetings, and unified communications with Composio’s Rube MCP toolkit by discovering current tool schemas, executing multi-step workflows, validating inputs, handling pagination, and maintaining active connections before each run.

Master advanced error capture and context enrichment using Sentry SDKs for both TypeScript and Python. This skill teaches how to reliably capture exceptions, track non-exception events (messages), and enrich reports with structured data like user context, tags, breadcrumbs, and custom fingerprints. It is essential for dramatically improving the ability to diagnose complex production issues quickly.

This skill provides a comprehensive walkthrough for setting up and testing Sentry error monitoring using both Node.js and Python SDKs. It demonstrates how to capture various event types, including simple messages and full exceptions, and crucially, how to enrich these events with user context, searchable tags, and detailed breadcrumbs. This is essential for verifying robust error logging and monitoring in a production environment.

Automates Telegram workflows via Rube MCP's Composio toolkit, letting bots send messages, media, manage chats, and handle commands after fetching live tool schemas.

This skill enables AI-assisted debugging and comprehensive error analysis within the development environment. It utilizes Cascade to analyze complex error messages, stack traces, and surrounding code context to identify root causes. Use it when troubleshooting code or encountering runtime errors to receive detailed fix recommendations and prevention strategies.

This skill integrates advanced AI assistance into Git workflows within the Windsurf IDE. It automates complex source control tasks, including generating descriptive commit messages from staged changes, suggesting optimal branch names, assisting with merge conflict resolution, and streamlining common Git operations. Ideal for developers managing version control or needing robust support for collaborative coding environments.

This skill provides AI-powered assistance for advanced terminal operations within development environments. It helps users execute complex commands, suggests completions, explains cryptic error messages, and generates optimized shell scripts. Use it when you need advanced shell scripting help, command suggestions, or debugging support in your command-line interface (CLI) workflow.

Guides writing Hookify rules that watch commands, files, prompts, or stop events, using YAML frontmatter to define patterns, actions, and messages for enforcing safety checks or reminders.

Manage cron-based schedules by querying current jobs, prompting user decisions, and creating or deleting tasks with self-contained messages so automated operations run exactly when needed.

MolyKit is a comprehensive toolkit designed for building robust, cross-platform AI chat applications. It provides core utilities for integrating large language models (LLMs) like OpenAI, handling real-time SSE streaming responses, and managing complex cross-platform asynchronous patterns (PlatformSend, spawn()). The kit includes ready-to-use widgets for messages, prompt inputs, and avatars, making it ideal for developers creating sophisticated, multilingual chat experiences.

This skill provides best practices for integrating Matrix SDK functionality into Makepad applications. It details the architecture and implementation patterns for building robust, real-time chat clients. Topics include using native Sliding Sync for efficient room updates, managing asynchronous requests (e.g., sending messages, fetching timelines), and handling complex Matrix operations within a Tokio runtime environment.