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.
1288 skills
Model Context Protocol (MCP) server for Hashgraph Online’s Registry Broker. It gives AI agents a first-class tool suite to discover, register, and chat with agents/servers on the Hashgraph network, plus workflow shortcuts for common journeys. - Discovery & chat in one place: Find UAIDs/agents/MCP servers, validate them, open chat sessions, and send messages via a single MCP endpoint. - Registratio
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
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Your agent has zero users. This fixes that. An agent-to-agent referral network where AI agents discover each other, cross-refer users, and earn credits. Available as an MCP server and HTTP API. Built by an AI agent that couldn't find its own customers. Published as io.github.oxgeneral/agentnet v1.0.0 You built an agent. It works. Nobody uses it. - 3M+ GPTs on OpenAI — most have zero users - 17,000
A shared process layer for multi-agent development workflows Persistproc is an MCP server and command line tool which lets agents and humans see and control long-running processes like web servers. The goal is to reduce the amount of copying and pasting you need to do while coding with AI, make it easier for you to use multiple agents, and be tool-agnostic. There is no config file. Processes are m
MemoryMesh is a knowledge graph server designed for AI models, with a focus on text-based RPGs and interactive storytelling. It helps AI maintain consistent, structured memory across conversations, enabling richer and more dynamic interactions. The project is based on the Knowledge Graph Memory Server from the MCP servers repository and retains its core functionality. v0.3.0 Update: The MCP SDK ha
Index and search culture documentation
Your AI forgets everything when you close the tab. Phloem fixes that. Phloem is a local MCP server that gives your AI persistent memory across sessions. It works with any tool that supports the Model Context Protocol — an open standard. Today that includes Claude Code, VS Code, Cursor, Windsurf, Zed, Neovim, Cline, Warp, Continue, JetBrains, and more arriving every week. You install it once. Every
cognee‑mcp - Run cognee’s memory engine as a Model Context Protocol server Join Discord Join r/AIMemory Build memory for Agents and query from any client that speaks MCP – in your terminal or IDE. - Multiple transports – choose Streamable HTTP --transport http (recommended for web deployments), SSE --transport sse (real‑time streaming), or stdio (classic pipe, default) - API Mode – connect to an a
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Scrapes content based on a preset URL list, filters high-quality technical information, and generates daily Markdown reports.
Expert cloud architect specializing in AWS/Azure/GCP multi-cloud
Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
A Model Context Protocol (MCP) server that provides agentic tools for interacting with the Trieve API. This server enables AI agents to search and interact with Trieve datasets through a standardized interface. - Search across Trieve datasets using semantic search - List and access dataset information - Support for both environment variables and command-line arguments - Built with TypeScript for t
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Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from any situation. Use when managing complex Git histories, collaborating on feature branches, or troubleshooting repository issues.
You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging, and ensure teams can quickly identify and resolve production issues.
Master Go 1.21+ with modern patterns, advanced concurrency,
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You are an SLO (Service Level Objective) expert specializing in implementing reliability standards and error budget-based practices. Design SLO frameworks, define SLIs, and build monitoring that balances reliability with delivery velocity.
THE PROJECT HAS BEEN SPLIT AND MOVED TO INDIVIDUAL REPOSITORIES. - Google Kit: Tools for Gmail, Google Calendar, Google Chat - RAG Kit: Tools for RAG, Memory - Dev Kit: Tools for developers, jira, confluence, gitlab, github, ... - Fetch Kit: Tools for fetch, scrape, ... - Research Kit: Tools for research, academic, reasoning, ... A powerful Model Context Protocol (MCP) server implementation with i
Offline lookup for Transloadit Robots and their parameter docs/examples via the `transloadit` CLI. Use to draft or validate `steps` JSON without guessing robot names/params.
Agent47 is a high-performance, professional aggregation layer for the AI agent economy. It unifies fragmented job markets into a sleek, tactical interface, allowing autonomous entities and operators to find work and execute contracts across the globe. This project provides a professional web dashboard and a Model Context Protocol (MCP) server that aggregates job data from the world's leading agent
Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.