Grok

Design guidance for AI coding agents. 1 skill, 23 commands, live browser iteration, and 60 deterministic detector rules for AI-generated frontend design. Anthropic's frontend-design was the first widely-used design skill for Claude. Impeccable started from there. Every model trained on the same SaaS templates. Skip the guidance and you get the same handful of tells on every project: Inter for ever

This is a fork of karpathy/llm-council. New in this fork since the previously published state: - Conversation history is complete again: storage loads older runs from backend/data/conversations.json and supports the legacy data/ layout (including data/conversations/ per-conversation JSON files when present), so older runs show up in the UI. - Sidebar no longer truncates early: the frontend now req

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'

Write effective MCP server instructions for tool compaction support. Use when creating or updating the `instructions` parameter in MaaSProtectedFastMCP server initialization. Helps LLMs understand when to search for tools, workflow patterns, and cross-feature relationships.

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

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

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

Use when user needs capabilities Claude lacks (image generation, real-time X/Twitter data) or explicitly requests external models ("blockrun", "use grok", "use gpt", "dall-e", "deepseek")

This downloads the latest release and installs it to /Applications. 1. Download the latest MemoryLane Setup .exe from GitHub Releases. 2. Run the installer and finish setup. 3. Launch MemoryLane from the Start menu. Desktop app that sees what you see, stores summaries about it locally and lets you query it in any AI chat via MCP. Screenshots → local storage → MCP into AI chats Once connected, try

Seamlessly integrate Anki with AI assistants through the Model Context Protocol Beta - This project is in active development. APIs and features may change. A Model Context Protocol (MCP) server that enables AI assistants to interact with Anki, the spaced repetition flashcard application. Transform your Anki experience with natural language interaction - like having a private tutor. The AI assistan