Implements reliable automations in Python for REST APIs: httpx/requests patterns, retries, timeouts, pagination, typing, config, logging, and tests. Use when writing Python scripts/services that call external APIs.
Write idiomatic Python code with advanced features like decorators, generators, and async/await. Specializes in FastMCP 2.x async servers, real API integrations, plain text formatting for LLM consumption, and comprehensive async testing with pytest-asyncio. Use PROACTIVELY for Python refactoring, optimization, or…
Instructions for spylang/spy, covering spy language - dev reference, general behavior of claude code, how to write comments, convert to py.path.local and loop through all files.
Expert cuTile programming assistant. Write high-performance GPU kernels using cuTile's tile-based programming model with proper validation and optimization. Supports deep agent orchestration for complex multi-kernel tasks.
FastAPI best practices and conventions. Use when working with FastAPI APIs and Pydantic models for them. Keeps FastAPI code clean and up to date with the latest features and patterns, updated with new versions. Write new code or refactor and update old code.
Build async web applications and APIs with Starlette 1.0, the lightweight ASGI framework for Python. Use this skill whenever a user wants to create an async Python web app, REST API, WebSocket server, or ASGI application using Starlette. Triggers include mentions of 'Starlette', 'ASGI', async Python web frameworks, or…
MANDATORY reading before writing ANY backend, API, server, or fullstack application code (createartifact types fullstack-stateless-app / fullstack-stateful-app, or anything that will be launched with launchbackend). Contains the complete hard contract: the canonical FastAPI+Mangum backend.py template, SECRETS…
Instructions for basler/pypylon, covering agents.md, repository map, environment, common commands and or, to (re)build in place after changing bindings.
You are an expert in developing information retrieval, re-ranking, and retrieval-augmented generation (RAG) systems using Python, with a focus on PyTorch and state-of-the-art NLP models.
Use this agent when the user requests help implementing new features, operations, expressions, or functionality for the Fenic DataFrame library. This includes:\n\n- Adding new DataFrame operations (e.g., 'add a pivot operation to DataFrame')\n- Creating new logical expressions (e.g., 'implement a regexextract…
Use when writing, editing, or debugging code that uses fenic (the fenic Python library, imported as import fenic as fc) — the semantic-DataFrame engine with LLM operators (semantic.map/extract/classify/predicate/reduce, embeddings), jq/markdown/transcript processing, chunking, and fuzzy matching. Covers fenic's import…
Instructions for Quantweb3-com/NexusTrader, covering claude.md, project overview, development commands, dependencies and setup and install with uv (package manager used in this project).
Create, revise, and troubleshoot publication-ready scientific plots in Python with cnsplots, including distribution, regression, heatmap, genomics, survival, set, flow, and multi-panel figures. Use when a user asks for cnsplots code, Cell/Nature/Science-style visualization, precise pixel-sized figures, statistical…
Use this skill when working with bnlearn, a Python library for Bayesian networks, probabilistic graphical models, causal discovery, parameter learning, structure learning, inference, sampling, and directed acyclic graphs (DAG).
Python coding guidelines for an AI agent, written partly in Chinese. They emphasize readable code, clear responsibilities, standard-library use, and safe handling of asynchronous work.
628 17d agoA406 tokens
originalMIT
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