Marketplace
Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
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
pandera
Expert guidance for Pandera, the Python library for validating pandas and Polars DataFrames with expressive schemas. Helps developers define data contracts, validate data pipelines, and catch data qua
plotly
Create interactive scientific and statistical charts with Plotly. Use when a user asks to build data visualizations, scatter plots, 3D charts, statistical graphs, or dashboards using Plotly.js or reac
poetry
Manage Python projects with Poetry. Use when a user asks to manage Python dependencies, create virtual environments, publish packages to PyPI, handle dependency resolution, or set up a Python project
polars
Polars is a blazingly fast DataFrame library written in Rust with a Python API. Learn eager and lazy evaluation, expressions, groupby, joins, and how Polars outperforms pandas for large datasets throu
prefect
Prefect is a modern workflow orchestration framework for Python data pipelines. Learn to define flows and tasks with decorators, handle retries and scheduling, create deployments, and monitor via the
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,
pydantic
Validate and serialize data with Pydantic. Use when a user asks to validate API inputs, parse JSON/env config, define data models in Python, serialize objects, or implement data validation with type h
pytest
Test Python code with pytest. Use when a user asks to write unit tests, set up test fixtures, mock dependencies, run async tests, measure coverage, or implement test-driven development in Python.
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.
smolagents
You are an expert in smolagents, Hugging Face's minimalist agent framework. You help developers build AI agents that write and execute Python code to solve tasks, use tools from the Hugging Face Hub,
sqlalchemy
Work with databases in Python using SQLAlchemy. Use when a user asks to set up a Python ORM, define database models, write async database queries, manage migrations with Alembic, or choose between SQL
sqlite
SQLite is a self-contained, serverless, zero-configuration embedded SQL database engine. Learn CLI usage, Node.js integration with better-sqlite3, Python's built-in sqlite3 module, and best practices
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
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
tensorflow
You are an expert in TensorFlow, Google's open-source machine learning framework. You help developers build, train, and deploy neural networks using Keras (TensorFlow's high-level API), custom trainin
gradio
Gradio ML demo and web interface reference. Build shareable ML demos in Python. Covers Interface API, ChatInterface for LLMs, streaming, 50+ components, Blocks layout, event handlers, Hugging Face Spa
seaborn
Seaborn statistical visualization library reference. High-level Python plotting on Matplotlib. Covers scatter, line, histogram, KDE, box, violin, bar, heatmap, pairplot, regression, FacetGrid, themes,
我的浏览器控制工具
基于Python实现的macOS浏览器自动化工具,可一键打开指定网址,支持Safari/Chrome浏览器。
gradio
Creates ML demo interfaces with Gradio, supporting images, text, audio, and video inputs/outputs.
Flask Multi-URL In-Memory Zip Download with Redirect
Generates Flask code to download files from multiple URLs, zip them in memory without saving to disk, send the zip to the user, and redirect to a success page.
Windows系统资源监控脚本生成
编写Python脚本以定时监控Windows主机的CPU和内存使用率,并按指定格式(时间点、CPU占用率、内存占用率)记录日志。
Text Date Normalization with Default Year
Normalize various date formats found in text strings, applying a default year (<NUM>) when the input date lacks a year component.
python-metaprogramming
Comprehensive guide to python metaprogramming. Master the concepts, implementation, best practices, and real-world applications of python metaprogramming in professional environments.
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Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
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Prefer the terminal? osr stack apply registry://starter installs the starter template.