SKILL.md files package domain expertise into something any AI agent can use. Drop one into your project and your agent learns how to process PDFs, design interfaces, write tests, or whatever the skill teaches.
1340 skills
Development skill from everything-claude-code
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.
You are a code education expert specializing in explaining complex code through clear narratives, visual diagrams, and step-by-step breakdowns. Transform difficult concepts into understandable explanations.
The wizzy-mcp-tmdb project is an MCP (Model Context Protocol) server implemented in JavaScript that provides tools to search and retrieve information from The Movie Database (TMDB). It allows AI clients to access movie, TV show, and person data through a standardized protocol. - Search Movies: Perform multi-search across movies, TV shows, and people using the searchtmdb tool. - Get Details: Fetch
Professional code review with auto CHANGELOG generation, integrated with Codex AI
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MCP Toolbox for Databases is an open source MCP server for databases. It enables you to develop tools easier, faster, and more securely by handling the complexities such as connection pooling, authentication, and more. This README provides a brief overview. For comprehensive details, see the full documentation. - Why Toolbox? - General Architecture - Getting Started - Installing the server - Runni
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.
Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing skills.
Manage track lifecycle: archive, restore, delete, rename, and cleanup
Automate Confluence page creation, content search, space management, labels, and hierarchy navigation via Rube MCP (Composio). Always search tools first for current schemas.
Elite AI context engineering specialist mastering dynamic context
A local vector memory explorer with a modern UI inspired by Supabase and Pinecone. Browse, search, visualize and manage the SQLite-vec database created by MCP Memory Service . I'm a sysadmin by trade, not a developer. My coding background is some C++ from many years ago. I built memviz entirely through vibe coding with Claude Code as a way to test AI-assisted development workflows. The whole thing
English · 简体中文 · 日本語 👋 join us on Discord and WeChat If you like Dingo, please give us a ⭐ on GitHub! Dingo is A Comprehensive AI Data, Model and Application Quality Evaluation Tool, designed for ML practitioners, data engineers, and AI researchers. It helps you systematically assess and improve the quality of training data, fine-tuning datasets, and production AI systems. 🎯 Production-Grade Qua
Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are limited, and you learn this after you've designed your data model. This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is optimized for read-heavy, denormalized data. I
Map relationships between bounded contexts and define integration contracts using DDD context mapping patterns.
MongoDB Lens is a local Model Context Protocol (MCP) server with full featured access to MongoDB databases using natural language via LLMs to perform queries, run aggregations, optimize performance, and more. - Quick Start - Installation - Configuration - Client Setup - Data Protection - Test Suite - Disclaimer - Install MongoDB Lens - Configure MongoDB Lens - Set up your MCP Client (e.g. Claude D
DBOS Python SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Python code with DBOS, creating workflows and steps, using queues, using DBOSClient from external applications, or building applications that need to be resilient to failures.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Tinybird file formats, SQL rules, optimization patterns, and best practices for datasources, pipes, endpoints, and materialized views.
Platform APIs for model management, pricing, and usage tracking
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
Hugging Face Transformers best practices including model loading, tokenization, fine-tuning workflows, and inference optimization. Use when working with transformer models, fine-tuning LLMs, implementing NLP tasks, or optimizing transformer inference.
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