Anthropic-managed marketplace directory of curated plugins for Claude Code, split into internal and external plugin folders.
A collection of 177 validated scientific skills for AI agents, covering biology, chemistry, medicine, and data analysis, plus 100+ scientific database references.
Agent harness system of skills, agents, hooks, rules, memory, and security scanning for Claude Code, Codex, Cursor, and other AI coding tools.
Port of Poteto's pstack, a set of opinionated agent workflow skills, translated for Claude Code, Codex, Copilot, Pi, OpenCode, and Gemini.
A set of production-grade engineering skills and slash commands that guide AI coding agents through spec, plan, build, test, review, and ship phases.
A set of 49 Claude Code subagents and 74 slash-command workflows that structure an AI session into a game dev studio with defined roles.
A multi-harness collection of plugins, agents, skills, and commands for AI coding tools like Claude Code, Codex CLI, and Cursor.
A design skill for Claude Code, Cursor, and Codex that generates UI deliberately avoiding generic AI-generated aesthetics.
Interactive collection of reusable CSS UI transitions with copy-ready snippets, a CLI, and an agent skill for applying them.
Reference Claude agents, skills, and data connectors for investment banking, equity research, private equity, and wealth management workflows.
A curated list of LLM APIs that offer permanent free tiers for text inference, with base URLs, models, and rate limits.
An interactive Jupyter notebook course teaching prompt engineering techniques for Anthropic's Claude models.
A curated list of libraries, packages, and resources for quantitative finance across many languages and topics.
A curated reference of Claude Code best practices covering subagents, commands, skills, hooks, memory, and workflows.
A large curated guide covering self-hosting tools, hardware, and setup walkthroughs for running software on your own servers.
A collection of 42+ runnable Jupyter notebooks, each tutorial covering an advanced technique for Retrieval-Augmented Generation systems.
A collection of Go-specific agent skills covering language, testing, security, and observability for AI coding assistants.
A set of Claude Code and Codex skills that run value-investing company research using four investors' methodologies via multi-agent analysis.
Code-first Jupyter tutorials for building and deploying production-grade GenAI agents, from prototype to enterprise deployment.
Python and Jupyter reproductions of quant strategies from Chinese brokerage research reports, covering A-share timing, factors, value and portfolio optimization.