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.
1366 skills
Claude Code plugins for AWS development with specialized knowledge and MCP server integrations, including CDK, serverless architecture, cost optimization, and Bedrock AgentCore for AI agent deployment. Shared AWS agent skills including AWS Documentation MCP configuration for querying up-to-date AWS knowledge. - AWS MCP server configuration guide - Documentation MCP setup for querying AWS knowledge
Implement saga patterns for distributed transactions and cross-aggregate workflows. Use when coordinating multi-step business processes, handling compensating transactions, or managing long-running workflows.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence.
Makepad UI development skills for Rust apps: setup, patterns, shaders, packaging, and troubleshooting.
Vizro-MCP is a Model Context Protocol (MCP) server, which works alongside an LLM to help you create Vizro dashboards and charts. To find out more, consult the Vizro-MCP documentation. Vizro-MCP is best used with Claude Desktop, Cursor or VS Code. However, it can be used with most LLM products that enable configuration of MCP server usage. Our documentation offers separate, detailed steps for Claud
Build search applications using Azure AI Search SDK for JavaScript (@azure/search-documents). Use when creating/managing indexes, implementing vector/hybrid search, semantic ranking, or building agentic retrieval with knowledge bases.
This repository is no longer maintained. The core functionality has been integrated into all IntelliJ-based IDEs since version 2025.2. The built-in functionality works with SSE and JVM-based proxy (for STDIO) so this NPM package is no longer required. Migration: Please refer to the official documentation for details on using the built-in functionality. Issues & Support: For bugs or feature request
Instrument applications with Azure Monitor and OpenTelemetry for JavaScript (@azure/monitor-opentelemetry). Use when adding distributed tracing, metrics, and logs to Node.js applications with Application Insights.
Implement the minimal code needed to make failing tests pass in the TDD green phase.
An MCP server implementation that provides job search functionality. Get available jobs with filtering options sinceWhen (string): Since when to get available jobs. e.g., '1d' or '1w' (only days and weeks are supported) keywords (string[], optional): Keywords to filter jobs by excludeKeywords (string[], optional): Keywords to exclude from the jobs isRemote (boolean, optional): Whether to filter jo
- MCP Server: code-to-tree - Using code-to-tree - Configure MCP Clients - Building (Windows) - Building (macOS) The code-to-tree server's goals are: 1. Give LLMs the capability of accurately converting source code into AST(Abstract Syntax Tree), regardless of language. 2. One standalone binary should be everything the MCP client needs. These goals imply: 1. The underlying syntax parser should be v
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
This project provides a set of tools for retrieving information about SonarQube projects using the FastMCP (Fast Model Context Protocol) framework. It serves as an interface to SonarQube, allowing users to programmatically access metrics, historical data, and component tree metrics for specified projects. This automated access enables reporting, analysis, and integration of SonarQube data with oth
Terraform infrastructure as code best practices
Git-aware undo by logical work unit (track, phase, or task)
Plan a user interview topic in PostHog — pick who to target (cohort, emails, or PostHog distinct IDs), draft what to ask about, and prepare the voice-agent context plus a question list. Use when the user asks to "talk to users", "check how users feel about X", "interview some customers", "set up a user interview", "run a user-research call", "find users to ask about Y", or otherwise wants qualitative feedback through a conversation.
Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
gomcp is an MCP server written in It exposes tools to interact with Lightpanda Browser via CDP protocol. gomcp requires you to have already installed Lightpanda You need to install Go to build from source. Once you have cloned the repository, build the binary with go build. By default, gocmp starts a local instance of Lightpanda browser. On the first run, you need to download the binary with the c
GXtract is a Model Context Protocol (MCP) server designed to integrate with VS Code and other compatible editors. It provides a suite of tools for interacting with the GroundX platform, enabling you to leverage its powerful document understanding capabilities directly within your development environment. - Architecture - Prerequisites - Installing UV - Quick Start: VS Code Integration - Available
Persistent memory and knowledge management. Use at session start to load context, when the user asks about past work or stored knowledge, and when saving important information for future sessions.