Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Interactive Hamilton DAG development via MCP tools. Validate, visualize, scaffold, and execute Hamilton pipelines without leaving the conversation. Use when building or debugging Hamilton dataflows interactively.
Performance and parallelization patterns for Hamilton including async I/O, Spark, Ray, Dask, caching, and multithreading. Use for scaling Hamilton workflows.
Use when porting external PyTorch object detection models in DeepDetect through the external PyTorch worker backend.
Orientation to facet-format JIT deserialization (tiering, fallbacks, key types/entry points) and where to look when changing or debugging JIT code
Guidelines for using facet crates (facet-json, facet-toml, figue) instead of serde-based alternatives for consistent dogfooding
Work with git worktrees for isolated parallel development. Use when starting feature work in isolation, when need separate workspace without branch switching, or when cleaning up worktrees after PR merge.
Use this skill when optimizing Jazz applications for speed, responsiveness, and scalability. Covers crypto setup, efficient data modeling, and UI patterns to prevent lag.
Design and implement collaborative data schemas using the Jazz framework. Use this skill when building or working with Jazz apps to define data structures using CoValues. This skill focuses exclusively on schema definition and data modeling logic.
Use this skill when building, debugging, or optimizing Jazz applications. It covers Jazz's bindings with various different UI frameworks, as well as how to use Jazz without a framework. Look here for details on providers and context, hooks and reactive data fetching, authentication, and specialized UI components for media and inspection.