debug-mcp
Systematic debugging workflow for MCP servers and Microsoft Copilot Studio integrations, featuring common fix patterns and validation scripts.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
550 skills found
Systematic debugging workflow for MCP servers and Microsoft Copilot Studio integrations, featuring common fix patterns and validation scripts.
Scaffold and implement authentication in TypeScript/JavaScript apps using Better Auth. Detects frameworks, configures database adapters, sets up route handlers, adds OAuth providers, and scaffolds UI pages.
Implement robust server-side and client-side input validation using sanitization and allowlists to prevent injection attacks and ensure data integrity.
ClawHub is the official registry and CLI tool for managing OpenClaw AI agent skills. Search, install, version-control, and publish custom skills to your local OpenClaw workspace.
Run Semgrep static analysis scans on codebases using parallel subagents, multi-language detection, and Pro-enabled cross-file taint tracking.
AWS DynamoDB engineering assistant for schema design, query optimization, single-table patterns, and infrastructure management using Boto3 and AWS CLI.
Search and analyze X (Twitter) trends, hashtags, and tweet data by location using custom CLI tools.
Universal MCP client for connecting to any MCP server with progressive disclosure. Wraps MCP servers as skills to prevent context window bloat from tool definitions. Use for Zapier, GitHub, sequential thinking, and file operations.
Master component-driven development for React, Vue, and Svelte. Learn advanced composition, CSS-in-JS strategies, and API design for scalable UI design systems.
A flexible template for developing and integrating custom AI agent skills within the Mini-Agent framework.
React Native and Expo best practices for performant mobile apps. Covers list virtualization, animations with Reanimated, UI patterns, and native platform API optimizations.
Tools for deploying, managing, and monitoring DataRobot models, including prediction environment configuration, champion/challenger workflows, and deployment operations.