> browse/registry

> 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.

> 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.

> renovate

Assists with automating dependency updates across JavaScript, Python, Docker, Go, Rust, Terraform, and 50+ ecosystems using Renovate. Use when configuring update strategies, automerge policies, grouping rules, or scheduling to keep dependencies current. Trigger words: renovate, dependency updates, automerge, package rules, dependency management.

> fastapi

FastAPI is a modern, high-performance Python web framework for building APIs. It leverages Python type hints and Pydantic for automatic validation, serialization, and OpenAPI documentation generation with async/await support out of the box.

> onnx

Open Neural Network Exchange format for model interoperability across frameworks. Export models from PyTorch, TensorFlow, and other frameworks to ONNX, optimize with ONNX Runtime, and deploy for cross-platform inference on CPU, GPU, and edge devices.

> 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

> godot

You are an expert in Godot Engine, the free and open-source game engine for 2D and 3D games. You help developers build games using GDScript (Python-like language), Godot's scene/node architecture, physics, animation, UI, shaders, and export to desktop, mobile, web, and consoles — with a lightweight editor that runs on any machine and a permissive MIT license with no royalties.

> great-expectations

Great Expectations is a Python framework for data quality testing and validation. Learn to define expectations, create validation suites, build data docs, and integrate with data pipelines for automated quality checks.

> gradio

Python library for building ML demo UIs with minimal code. Create interactive web interfaces for models with text, image, audio, and video inputs/outputs. Share demos via public links or deploy to Hugging Face Spaces.

> blender-vse-pipeline

Automate video editing in Blender's Video Sequence Editor with Python. Use when the user wants to add video, image, or audio strips, create transitions, apply effects, build edit timelines, batch assemble footage, estimate render times, or script any VSE workflow from the command line.

> microsoft-word

Create, edit, and manipulate Word documents (.docx) programmatically. Use when someone asks to "generate a Word document", "create a report in docx", "mail merge", "fill Word template", "extract text from Word", "convert markdown to Word", "add tables to Word", or "automate document generation". Covers python-docx for file manipulation, docxtpl for templates, and Microsoft Graph API for cloud documents.

> 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.

> modal

Serverless GPU compute platform for running Python functions in the cloud. Deploy ML models, run training jobs, and serve inference endpoints without managing infrastructure. Supports A100/H100 GPUs, custom container images, and scales to zero automatically.

> structlog-python

Add structured logging to Python with structlog. Use when a user asks to implement structured logging, add context to Python logs, configure log processing pipelines, or replace standard logging with typed output.

> moviepy

Edit and compose video with Python using MoviePy. Use when a user asks to programmatically edit videos, create video montages, add text overlays, build automated video pipelines, composite multiple clips, apply video effects, generate social media videos from templates, concatenate clips, extract audio, create GIFs, build slideshows, add transitions, resize and crop videos, or integrate video editing into Python applications. Covers MoviePy 2.x for compositing, effects, text, and rendering.

> mysql

MySQL is the world's most popular open-source relational database management system. Learn installation, SQL queries, indexing strategies, replication setup, and client integration with Node.js (mysql2) and Python (mysql-connector).

> flask

Flask is a lightweight Python micro web framework that provides the essentials for web development without imposing structure. It uses Jinja2 templates and Werkzeug WSGI toolkit, with a rich ecosystem of extensions for databases, auth, and more.

> ruff

Lint and format Python with Ruff. Use when a user asks to set up Python linting, replace flake8/black/isort, configure code quality rules, or speed up Python code formatting.

> 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.