LLM & AI Agent Skills

Connect Open Data to LLMs in minutes! We enable 2 things: Open Data Access: Access to many public datasets right from your LLM application (starting with Claude, more to come). Publishing: Get community help and a distribution network to distribute your Open Data. Get everyone to use it! How do we do that? Access: Setup our MCP servers in your LLM application in 2 clicks via our CLI tool (starting

Investigate AI observability clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into individual traces within clusters.

LLM evaluation and testing patterns including prompt testing, hallucination detection, benchmark creation, and quality metrics. Use when testing LLM applications, validating prompt quality, implementing systematic evaluation, or measuring LLM performance.

Enterprise-grade Chrome automation for AI agents with compliance-ready logging Enterprise Features • Compliance Logging • Security Features • Quick Start • Docker Deploy Built for corporate environments where security, compliance, and auditability are non-negotiable. SIEM-ready logging in industry-standard formats. Every tool execution, credential access, and security event is logged. - authentica

Lint any URL for LLM readiness. Get a 0-100 score for token efficiency, RAG readiness, agent compatibility, and LLM extraction quality. Context CLI is an LLM Readiness Linter that checks how well a URL is structured for AI consumption. As LLM-powered search engines, RAG pipelines, and AI agents become primary consumers of web content, your pages need to be optimized for token efficiency, structure

GenAI Agent Framework, the Pydantic way Documentation: ai.pydantic.dev FastAPI revolutionized web development by offering an innovative and ergonomic design, built on the foundation of Pydantic Validation and modern Python features like type hints. Yet despite virtually every Python agent framework and LLM library using Pydantic Validation, when we began to use LLMs in Pydantic Logfire, we couldn'

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa

An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data. - osm-mcp-server: The main server, available for public use. This server provides LLMs with tools to interact with OpenStreetMap data, enabling location-based applications to: - Geocode addresses and place names to coordinates - Reverse geocode coordinates to addresses - Find

Smart context management for LLM development workflows. Share relevant project files instantly through intelligent selection and rule-based filtering. Getting the right context into LLM conversations is friction-heavy: - Manually finding and copying relevant files wastes time - Too much context hits token limits, too little misses important details - AI requests for additional files require manual

Guide for upgrading Stripe API versions and SDKs

The goal of this MCP is to: - Consolidate ESP-IDF and related project commands in one place. - Simplify getting started using only LLM communication. Simply find a command that is missing from this MCP and create a PR for it! If you want someone to help you with this implementation, just open an issue. This project is currently a Proof of Concept (PoC) for an MCP server tailored for ESP-IDF workfl

A tool similar to cloc, sloccount and tokei. For counting the lines of code, blank lines, comment lines, and physical lines of source code in many programming languages. Goal is to be the fastest code counter possible, but also perform COCOMO calculation like sloccount, LOCOMO estimation for LLM-based development costs, estimate code complexity similar to cyclomatic complexity calculators and prod

An MCP server that enables Claude Desktop, Claude Code, Cursor, or other MCP clients to directly access and process arXiv papers by fetching the LaTeX source. It uses arxiv-to-prompt under the hood to handle downloading and processing the LaTeX. Why use the LaTeX source instead of uploading PDFs? Many PDF chat applications often struggle with mathematical content and equation-heavy papers. By util

Required reading before writing any HogQL/SQL or calling execute-sql against PostHog. Use whenever the user wants to search, find, or do complex aggregations PostHog entities (insights, dashboards, cohorts, feature flags, experiments, surveys, hog flows, data warehouse, persons, etc.) and query analytics data (trends, funnels, retention, lifecycle, paths, stickiness, web analytics, error tracking, logs, sessions, LLM traces).

Connect Claude Code to your Robinhood account. Analyze your portfolio, get real-time quotes, and execute trades—all through conversation. Then in Claude Code: 1. Type /mcp → select trayd → click Authorize 2. Sign in with Google 3. Say: "Link my Robinhood account" 4. Approve on your phone 5. Start trading! Instead of clicking through dozens of screens: Important to understand: - Your Robinhood emai

Zero-hallucination answers • Gemini Deep Research • 14 Security Layers • Enterprise Compliance What's New 2026 • Deep Research • Document API • Create Notebooks • Security • Install - 🔍 Query your NotebookLM notebooks — source-grounded, zero-hallucination answers - 📚 Create & manage notebooks programmatically — no manual clicking - 🎙️ Generate audio overviews — podcast-style summaries of your d

The open-source alternative to Google's Code Wiki — with MCP. Index any codebase with tree-sitter, generate docs with your LLM, serve them through a full-featured docs site, and expose everything as tools for coding agents via MCP. Like Notion for code agents. Index a project and generate documentation. Defaults to the current directory. Start the docs server. Manage API keys and provider settings

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

Advanced search and retrieval for web crawler data. With mcp-server-webcrawl, your AI client filters and analyzes web content under your direction or autonomously. The server includes a fulltext search interface with boolean support, and resource filtering by type, HTTP status, and more. mcp-server-webcrawl provides the LLM a complete menu with which to search, and works with a variety of web craw

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browse

Contact us for a Demo Community Slack MindsDB enables humans, AI, agents, and applications to get highly accurate answers across large scale data sources. MindsDB is an open-source server that can be deployed anywhere - from your laptop to the cloud, and everywhere in between. And yes, you can customize it to your heart's content. Using Docker Desktop. This is the fastest and recommended way to ge

Project Synopsis

A Deno monorepo containing packages for JSR (JavaScript Registry) access: - @wyattjoh/jsr - Core library for JSR API access - @wyattjoh/jsr-mcp - Model Context Protocol (MCP) server for LLM integration - Search packages across the JSR registry - Get package details, versions, and dependencies - Manage scopes and package publishing - Handle member invitations and permissions - Access registry stati