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Vector Memory Hack

Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant context before starting a task, (2) Search through large memory files efficiently, (3) Retrieve specific rules or decisions without reading entire files, (4) Enable semantic similarity search instead of keyword matching. Lightweight alternative to heavy embedding models - zero external dependencies, <

Ant Design Skill

Skill for efficiently building React UIs using Ant Design v5+ with layouts, forms, tables, modals, theming via ConfigProvider, and consistent component patte...

Practical Guide To Llm Fine Tuning With Lora

Guide on efficiently fine-tuning large language models using LoRA adapters with Python code examples and configuration details.

Firecrawl (Dify)

**Firecrawl** is a powerful API integration for web crawling and data scraping. It allows users to extract URLs, scrape website content, and retrieve structured data from web pages. With its modular tools, Firecrawl simplifies the process of gathering web data efficiently. You can now use it in your application workflows for automated web data extraction and analysis. To set up Firecrawl, follow t

Deep Strategy

Advanced AI assistant specializing in decomposing, planning, and delegating strategic tasks to complete them efficiently and strictly according to user input.

Badhansen/notion-mcp

🐍 ☁️ - A Model Context Protocol (MCP) server that integrates with Notion's API to manage personal todo lists efficiently.

Arya Model Router

Efficiently routes tasks between cheap, default, and pro models using optional sub-agents and briefing to minimize token use and cost.

TurboQuant+ KV Cache Compression

TurboQuant+ compresses llama.cpp KV caches on Apple Silicon up to 6.4x with minimal quality loss, enabling larger models and longer contexts efficiently.