ettrickshepherd-mlx-dev-skill

Build and deploy high-performance Python APIs with FastAPI. Developer-focused backend framework for REST API and microservice development.

200 skills

Generates ROS 2 Python launch files and multi-node system configurations for robotics education. Teaches launch syntax, exercises, and robot deployment patterns.

30 skills · 5 MCP servers

Set of Claude Code skills for Python development based on established best practices and development methodologies.

35 skills

FastAPI-focused toolkit for server-side development including database management, API design, and deployment patterns.

12 skills · 4 commands · 8 agents

Python development and productivity plugins for Claude Code environments.

22 skills

Python-based backend plugins for Claude Code extending core functionality and API integrations.

11 skills

Teaches Claude container's command surface and how it maps to Docker, Lima, Colima, and Podman on macOS

1 skill

Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams

26 skills · 4 commands · 3 agents · 1 MCP server

14 bundled product skills with 19 Python tools: product-skills fork-orchestrator with continuous-discovery loop (deterministic 16-lane router, Torres cadence tracker, OST linter, /cs-product + /cs-grill-product + /cs-product-loop), product manager toolkit (RICE, PRDs), product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, spec-to-repo, design-qa (UI finish gate: inert controls, missing states, rendered WCAG 2.2 checks). Companion standalone plugins: agile-product-owner, code-to-prd, apple-hig-expert, research-summarizer, design-qa.

14 skills · 3 commands · 1 agent · hooks

Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture

Reviews SwiftUI code for best practices on modern APIs, maintainability, and performance.

1 skill

Skills for MLX-VLM: command-line and server inference, convert/quantize, adding new models, benchmarking, contributing, cached-model listing, and reproducible GitHub issues.

8 skills