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.
1275 skills
Jotdown is a Model Context Protocol (MCP) server that allows large language models (LLMs) to interact with Notion and also generate Markdown Books. It provides two primary tools for LLMs: - 👉 Notion Integration: Create or update pages in Notion with content generated by the LLM. - 👉 Mdbook Generation: Generate a mdbook from content and manage the structure. Jotdown enables LLMs to seamlessly int
An adaptive web scraping framework that handles everything from a single request to a full-scale crawl. Its parser learns from website changes and automatically relocates your elements when pages update. Its fetchers bypass anti-bot systems like Cloudflare Turnstile.
A content-addressable protocol for universal food data. One axiom. Three fields. Six base types. Every food industry operation. id = SHA-256(canonical(type + state + refs)) The food industry spans 14 sectors — farming, processing, distribution, retail, hospitality, regulation, sustainability, and more. Every sector models food data differently. There is no shared primitive. FoodBlock is that primi
A Model Context Protocol (MCP) server for launching and managing macOS applications. - List all applications installed in the /Applications folder - Launch applications by name - Open files with specific applications Add the following to your Claude Config JSON file
Metorial (YC F25) The open source integration platform for agentic AI. Connect any AI model to thousands of APIs, data sources, and tools with a single function call. Metorial enables AI agent developers to easily connect their models to a wide range of APIs, data sources, and tools using the Model Context Protocol (MCP). Metorial abstracts away the complexities of MCP and offers a simple, unified
Architecture This MCP server attempts to exercise all the features of the MCP protocol. It is not intended to be a useful server, but rather a test server for builders of MCP clients. It implements prompts, tools, resources, sampling, and more to showcase MCP capabilities. A complete list of the registered MCP primitives and other protocol features demonstrated can be found in the Server Features
A Model Context Protocol (MCP) server that provides tools for fetching stories from Hacker News. This server parses the HTML content from news.ycombinator.com and provides structured data for different types of stories (top, new, ask, show, jobs). - Fetch different types of stories (top, new, ask, show, jobs) - Get structured data including titles, URLs, points, authors, timestamps, and comment co
A JetBrains IDE plugin that exposes an MCP (Model Context Protocol) server, giving AI coding assistants full programmatic control over the debugger. Set breakpoints, step through code, inspect variables, and evaluate expressions—all driven autonomously by your AI assistant. Fully tested: IntelliJ IDEA, PyCharm, WebStorm, GoLand, RustRover, Android Studio, PhpStorm May work (untested): RubyMine, CL
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Build Unity games with optimized C# scripts, efficient rendering,
LLMs rely on outdated or generic information about the libraries you use. You get: - ❌ Code examples are outdated and based on year-old training data - ❌ Hallucinated APIs that don't even exist - ❌ Generic answers for old package versions Context7 MCP pulls up-to-date, version-specific documentation and code examples straight from the source — and places them directly into your prompt. Add use con
Creates exhaustive technical references and API documentation.
This skill should be used when the user asks to "test for XSS vulnerabilities", "perform cross-site scripting attacks", "identify HTML injection flaws", "exploit client-side injection vulnerabilities", "steal cookies via XSS", or "bypass content security policies". It provides comprehensive techniques for detecting, exploiting, and understanding XSS and HTML injection attack vectors in web applications.
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Guide for continuous improvement, error proofing, and standardization. Use this skill when the user wants to improve code quality, refactor, or discuss process improvements.
Apply behavioral science and mental models to marketing decisions, prioritized using a psychological leverage and feasibility scoring system.
Implement Stripe payment processing for robust, PCI-compliant payment flows including checkout, subscriptions, and webhooks. Use when integrating Stripe payments, building subscription systems, or implementing secure checkout flows.
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.
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
Build real-time conversational AI voice engines using async worker pipelines, streaming transcription, LLM agents, and TTS synthesis with interrupt handling and multi-provider support
Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.
Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.