> browse/registry

> meilisearch

Add fast, typo-tolerant full-text search with Meilisearch. Use when a user asks to add search to an app, implement full-text search, set up a search engine, replace Elasticsearch with something simpler, add autocomplete or instant search, build a product catalog search, index documents for search, configure search relevancy, add faceted filtering, or deploy a self-hosted search engine. Covers indexing, querying, facets, filtering, sorting, multi-tenancy, and integration with Node.js, Python, and

> pydantic-ai

You are an expert in PydanticAI, the Python agent framework built by the Pydantic team. You help developers create type-safe AI agents with structured outputs, dependency injection, tool definitions, streaming, and model-agnostic design — leveraging Pydantic for validation and type safety throughout the agent lifecycle.

> unit-test-starter

Generate thorough Python 3 pytest unit tests across a repo by scanning every *.py file and each function, writing one test module per source file while skipping IO/network behavior and documenting gaps.

> blender-3d-modeling

Create 3D models procedurally with Blender Python. Use when the user wants to generate meshes from code, build geometry with bmesh, apply modifiers, create parametric shapes, procedural landscapes, grids, curves, or any programmatic 3D modeling in Blender.

> blender-render-automation

Automate Blender rendering from the command line. Use when the user wants to set up renders, batch render scenes, configure Cycles or EEVEE, set up cameras and lights, render animations, create materials and shaders, or build a render pipeline with Blender Python scripting.

> browser-use

You are an expert in Browser Use, the Python library that lets AI agents control a web browser. You help developers build agents that can navigate websites, fill forms, click buttons, extract data, and complete multi-step web tasks — using vision and DOM understanding to interact with any website like a human would.

> dlt

You are an expert in dlt, the open-source Python library for building data pipelines. You help developers load data from any API, file, or database into warehouses and lakes using simple Python decorators — with automatic schema inference, incremental loading, and built-in data contracts. dlt is the "requests library for data pipelines."

> computer-vision-expert

Design, implement, debug, and review computer vision systems in Python, including image processing, detection, segmentation, classification, tracking, OCR, camera pipelines, and dataset-driven evaluation. Use when working with OpenCV, PyTorch vision models, video/image analysis, model-selection tradeoffs, annotation strategy, failure analysis, or CV performance and robustness problems.

> coding-standards

Enforce language-specific coding standards (Python/TS/JS/Go/Rust/C/C++) + PR/commit conventions.

> uvicorn

Deploy Python ASGI apps with Uvicorn. Use when a user asks to run FastAPI in production, configure an ASGI server, set up Gunicorn with Uvicorn workers, or optimize Python web server performance.

> blender-addon-dev

Build custom Blender add-ons with Python. Use when the user wants to create a Blender add-on, register operators, build UI panels, add custom properties, create menus, package an add-on for distribution, or extend Blender with custom tools and workflows.

> blender-compositing

Automate Blender compositing and post-processing with Python. Use when the user wants to set up compositor nodes, add post-processing effects, color correct renders, combine render passes, apply blur or glare, key green screens, create node-based VFX pipelines, or script the Blender compositor.

> blender-motion-capture

Automate motion capture and tracking workflows in Blender with Python. Use when the user wants to import BVH or FBX mocap data, retarget motion to armatures, track camera or object motion from video, solve camera motion, clean up motion capture data, or script any tracking pipeline in Blender.

> ibis

Expert guidance for Ibis, the Python dataframe library that provides a pandas-like API but generates SQL for execution on any backend — DuckDB, PostgreSQL, BigQuery, Snowflake, Spark, and more. Helps developers write analytics code once and run it anywhere without rewriting SQL for each database.

> pyside6-ui-engineer

Design, implement, refactor, and review PySide6 desktop applications with strong widget architecture, signal-slot design, state flow, and expert UI/UX logic. Use when building or fixing Qt for Python windows, dialogs, forms, navigation shells, model-view tables, theming, validation, accessibility, or interaction polish in Python GUI code.

> streamlit

Expert guidance for Streamlit, the Python framework for building interactive data applications and dashboards. Helps developers create web apps for data exploration, ML model demos, and internal tools using pure Python — no frontend skills required.

> mise

Manage tool versions and tasks with mise (formerly rtx). Use when a user asks to manage Node.js/Python/Go versions per project, replace nvm/pyenv/asdf, or define project-level tool requirements.

> blender-scripting

Write and run Blender Python scripts for 3D automation. Use when the user wants to automate Blender tasks, run headless scripts, manipulate scenes, batch process .blend files, import/export 3D models, manage objects, or script Blender from the command line using the bpy API.

> blender-grease-pencil

Create 2D art and animation in Blender using Grease Pencil and Python. Use when the user wants to draw strokes programmatically, create 2D animations, build Grease Pencil objects from code, manage GP layers and frames, apply GP modifiers, set up drawing guides, or script any Grease Pencil workflow in Blender.

> dspy

You are an expert in DSPy, the Stanford framework that replaces prompt engineering with programming. You help developers define LLM tasks as typed signatures, compose them into modules, and automatically optimize prompts/few-shot examples using teleprompters — so instead of manually crafting prompts, you write Python code and DSPy finds the best prompts for your task.