> browse/registry

> 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.

> davinci-resolve

Automate and script DaVinci Resolve workflows. Use when a user asks to script DaVinci Resolve via Python/Lua API, automate color grading, batch render projects, manage timelines programmatically, automate media import, build render queues, create Fusion compositions via script, automate Fairlight audio processing, manage project databases, build custom tool scripts, or integrate Resolve into production pipelines. Covers the Resolve Scripting API (Python/Lua), Fusion scripting, and workflow autom

> mixpanel

Product analytics with Mixpanel — event tracking, funnels, retention analysis, user segmentation, and A/B testing. Covers JavaScript SDK for frontend tracking, server-side tracking with Node.js and Python, identity management, group analytics, and the Query API. Use when tasks involve tracking user behavior in web or mobile apps, building conversion funnels, analyzing retention curves, or running experiments.

> telegram-bot-builder

Builds Telegram bots using the Bot API (grammy/telegraf/python-telegram-bot). Use when the user wants to create a Telegram bot, handle commands, build inline keyboards, process callbacks, send media, build conversational flows, handle payments, or create mini apps. Trigger words: telegram bot, telegram integration, telegram commands, inline keyboard, telegram webhook, telegram polling, telegram mini app, telegram payments, BotFather, grammy, telegraf.

> dagger

Write CI/CD pipelines as code with Dagger — portable, cacheable, container-based pipelines that run locally and in any CI system. Use when someone asks to "write CI pipeline in TypeScript", "portable CI/CD", "run GitHub Actions locally", "Dagger pipeline", "CI as code", "containerized build pipeline", or "test my CI locally before pushing". Covers Dagger SDK (TypeScript/Python), pipeline composition, caching, secrets, and multi-stage builds.

> locust

When the user wants to perform load testing using Python with Locust's distributed architecture and real-time web UI. Also use when the user mentions "locust," "Python load testing," "distributed load test," "locust web UI," or "locustfile." For JavaScript-based load testing, see k6 or artillery.

> deepeval

Expert guidance for DeepEval, the open-source framework for unit testing LLM applications. Helps developers write test cases, define custom metrics, and integrate LLM quality checks into CI/CD pipelines using a pytest-like interface.

> pandas

Assists with loading, cleaning, transforming, and analyzing tabular data using pandas. Use when importing CSV/Excel/SQL data, handling missing values, performing groupby aggregations, merging datasets, working with time series, or building analysis-ready datasets. Trigger words: pandas, dataframe, csv, groupby, merge, time series, data cleaning.

> pipedream

You are an expert in Pipedream, the workflow automation platform built for developers. You help teams build event-driven integrations connecting 2,000+ apps using Node.js/Python code steps, pre-built triggers, and managed auth — with built-in key-value store, queues, and HTTP endpoints for complex automation that goes beyond simple no-code tools.

> 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."

> django

Django is a batteries-included Python web framework that follows the model-template-view pattern. It provides an ORM, admin interface, authentication, and everything needed to build full-featured web applications rapidly and securely.

> 3dsmax-scripting

Automate 3ds Max with MAXScript and Python — scene manipulation, object creation, material assignment, camera setup, batch operations, UI tools, and file I/O. Use when tasks involve automating repetitive 3ds Max workflows, batch processing scenes, creating custom tools, or scripting scene setup for archviz, product visualization, or VFX.

> code-migration

Migrate codebases between frameworks, languages, and API versions. Use when a user asks to convert JavaScript to TypeScript, migrate React class components to hooks, upgrade Vue 2 to Vue 3, migrate Python 2 to 3, update deprecated APIs, switch ORMs, convert Express to Fastify, or modernize legacy code. Handles incremental migration with backward compatibility.

> 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.

> mastra

You are an expert in Mastra, the TypeScript framework for building AI agents, RAG pipelines, and workflows. You help developers create production AI applications with type-safe agent definitions, tool integration, vector-based knowledge retrieval, multi-step workflows with branching and error handling, and integration with 50+ third-party services — designed for TypeScript teams who want agent capabilities without Python dependencies.

> mcp-server-builder

Build Model Context Protocol (MCP) servers that connect AI agents to external services and data sources. Use when a user asks to create an MCP server, build an MCP tool, connect an AI agent to an API, create a tool server for Claude, build MCP resources, or expose a database/service via MCP. Generates TypeScript or Python MCP servers with tools, resources, and prompts following the official MCP specification.

> instructor

You are an expert in Instructor, the library for getting structured, validated output from LLMs. You help developers extract typed data from unstructured text using Pydantic models (Python) or Zod schemas (TypeScript), with automatic retries on validation failures, streaming partial objects, and support for OpenAI, Anthropic, Google, and local models — turning LLMs into reliable data extraction engines.

> jupyter

Assists with interactive data analysis, visualization, and reproducible research using Jupyter notebooks. Use when building notebooks that combine code with rich output, managing kernels, converting to reports, or parameterizing notebooks for batch execution. Trigger words: jupyter, notebook, jupyterlab, ipynb, nbconvert, papermill.

> outlines

You are an expert in Outlines, the Python library for reliable structured text generation with LLMs. You help developers generate guaranteed-valid JSON, regex-matching text, and grammar-constrained output from open-source models — using finite state machine guided generation that constrains the token sampling process to produce only valid output on the first try.

> pandas-ai

PandasAI enables natural language queries on pandas DataFrames using LLMs. Learn to ask questions in plain English, generate charts, clean data, and integrate with OpenAI and local models for conversational data analysis.