Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Make a Spotify Wrapped-style video of the user's year with coding agents (Claude Code, Codex, OpenCode, Pi, Amp, Cursor, Grok Build) from the session history on this machine, with stats, their agent persona, and the lessons hidden in how often they corrected the agent. Use when the user asks for their agent wrapped, coding wrapped, AI wrapped, year in review with agents, or stats about how they use coding agents.
This skill should be used when the user asks to "create MongoDB model", "define Beanie document", "write MongoDB query", "create aggregation pipeline", "run database migration", "index MongoDB collection", or mentions Beanie, Motor, MongoDB documents, or async database operations. Provides MongoDB/Beanie ODM patterns for FastAPI.
Generates natural language scene descriptions from 3D Gaussian Splatting reconstructions built from lab photos or short video clips. Outputs structured text with instrument placement, sample positions, spatial layout keywords, and relational predicates — optimized for VLM or spatial intelligence model consumption in protocol guidance, error detection, or AR overlay generation.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.