upstash-vector-db-skills
Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
320 skills found
Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.
Search, retrieve, and manage your KUNGFU.SH bookmarks programmatically to streamline your research and knowledge management workflows.
Multi-model LLM integration patterns for Claude, GPT, Gemini, and Ollama. Features API handling, prompt engineering, token management, and model-agnostic orchestration.
A testing utility for the npm-agentskills framework, designed to validate Nuxt module integration and skill discovery patterns.
Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.
Process and manipulate images using ImageMagick. Supports resizing, format conversion, batch processing, and retrieving image metadata for developers and automated workflows.
A standardized fullstack pattern for Next.js features, integrating GET API routes, server actions, SWR data fetching, and React Hook Form with Zod validation.
Generates a random lucky number between 0 and 9999 for games, decision-making, or entertainment.
An MCP server enabling Claude to dispatch and manage physical-world tasks using the MESS (Meatspace Execution and Submission System) protocol.
Automate Instagram interactions including feed browsing, story creation, Reels navigation, DM management, and posting.
High-performance document intelligence library for extracting text, tables, code, and metadata from 91+ file formats, with OCR and LLM-ready output.
Efficiently manage git worktrees with automated file synchronization, background task execution, and CLI-based workspace orchestration.