data-extraction-patterns
Proven patterns for extracting, caching, and processing analytics data from GA4 and GSC using MCP servers.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
580 skills found
Proven patterns for extracting, caching, and processing analytics data from GA4 and GSC using MCP servers.
Repository implementation guide for local-skills-mcp. Provides technical documentation on MCP tool handlers, skill loading, aggregation logic, and project structure for developers.
Manage Vibesafe units to scan, generate, test, and verify AI-written code with cryptographically-secure hash-locked checkpoints.
Automate frontend API integration using Apidog and MCP servers. Generate TypeScript types, TanStack Query hooks, and axios-based clients from OpenAPI specifications for consistent, type-safe API consumption.
Production-grade TanStack Query v5 patterns for async state management, including query key factories, data mutations, caching, and SSR configuration.
Sync Granola meeting transcripts to your local Knowledge folder, integrated into your morning planning workflow.
Pragmatic AI-assisted coding standards focused on clean code, simplicity, and maintainability. Enforces best practices like SRP, DRY, and KISS to prevent over-engineering.
Master Rust async programming with Tokio, including tasks, channels, streams, error handling, and production-grade concurrency patterns.
Execute z.AI CLI for multimodal analysis, web search, reader, and GitHub repo exploration via CLI and MCP.
Expert guidance for SolidStart server runtime, including request events, middleware, server functions, and API architecture.
A CLI tool that automates the discovery and symlinking of agent skills distributed via npm packages, simplifying integration for AI-powered coding agents.
Automates the creation and maintenance of CLAUDE.md files. It monitors codebase evolution and keeps project memory in sync with file changes, structure, and build commands.