Ready-to-use AI agent skills for research, science, engineering, and finance. Features the ESM toolkit for state-of-the-art protein language modeling, supporting generative protein design (ESM3), structure prediction, inverse folding, and embeddings (ESM C) with local and cloud inference.

Persistent context and memory plugin for AI agents across sessions. Captures, compresses, and injects relevant session history into future interactions. Supports OpenClaw, Claude Code, Codex, Gemini, and more.

A minimal browser automation harness built on Chrome DevTools Protocol that grants LLMs complete freedom to execute any browser task, featuring a self-healing mechanism for dynamic code writing and fixing mid-execution.

Postgres performance optimization and best practices from Supabase. Comprehensive guide for query optimization, schema design, connection management, security, RLS, and monitoring. Contains rules across 8 categories prioritized by impact.

Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Framework for building UI components and design systems.

Deploy, evaluate, and manage Foundry agents end-to-end: Docker build, ACR push, hosted/prompt agent create, container start, batch eval, prompt optimization. Covers model discovery, deployment, AI agent lifecycle, evaluation workflows, and troubleshooting.