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Guide for modernizing legacy Python 2 scientific computing code to Python 3 with modern libraries. This skill should be used when migrating scientific scripts involving data processing, numerical computation, or analysis from Python 2 to Python 3, or when updating deprecated scientific computing patterns to modern equivalents (pandas, numpy, pathlib).
Guidance for implementing proper asyncio task cancellation with signal handling in Python. This skill applies when implementing concurrent task runners that need graceful shutdown, handling KeyboardInterrupt/SIGINT in asyncio contexts, or managing task cleanup when using semaphores for concurrency limiting. Use when tasks involve asyncio.gather, CancelledError handling, or cleanup of tasks that haven't started execution.
Guidance for implementing asyncio task cancellation with proper cleanup, especially for handling keyboard interrupts (Ctrl+C). This skill should be used when tasks involve asyncio cancellation, signal handling, or graceful shutdown of concurrent Python tasks.
Python testing with pytest covering fixtures, parametrization, mocking, and test organization for reliable test suites
This skill provides guidance for creating polyglot files that are valid in both C and Python. It should be used when tasks require writing code that compiles and runs correctly as both a C program and a Python script, producing identical or specified output from each interpreter/compiler.
Interactive sample size calculator for medical research. Decision-tree guided test selection, reproducible R/Python code, effect size interpretation, and IRB-ready justification text. Supports diagnostic accuracy, agreement, proportions, continuous outcomes, survival, ANOVA, logistic regression, and non-inferiority/equivalence designs.
Validates development tool installations across Python, Node.js, Java, Go, Rust, C/C++, Git, and system utilities. Use when verifying environments or troubleshooting dependencies.
Convert C/C++ code into Strict SysY testcases using Python automation scripts.
Develops Algorand smart contracts in Python using PuyaPy — covers syntax, decorators, storage, transactions, types, testing with pytest, deployment, AlgoKit Utils, ARC-4/ARC-56 standards, and error troubleshooting. Use when writing algopy contracts, using @arc4.abimethod decorators, working with GlobalState or BoxMap in Python, testing with AlgorandClient, deploying or calling contracts from Python, or diagnosing PuyaPy compiler and transaction errors.
Foundational mental model for the Algorand Virtual Machine (AVM). Use when encountering AVM concepts, stack machine questions, resource limit errors, opcode budget issues, program size problems, or constraint errors. Use when an agent defaults to PyTEAL, Beaker, or raw TEAL. Read BEFORE writing any smart contract code. Covers the two-type system (uint64/bytes), compilation from TypeScript/Python to TEAL, hard resource limits, and common LLM anti-patterns.
Data-Juicer Agents installation and setup guide: environment setup, dependency installation, version verification, common issues. Trigger keywords: install, setup, environment configuration, pip install, uv install, djx command not found, ModuleNotFoundError, version issues, Python version. Use for first-time installation, environment problems, installation failures, or version incompatibilities. Related skills: djx_auth (authentication), data-juicer (main flow).
SQLAlchemy Python SQL toolkit and ORM with powerful query builder, relationship mapping, and database migrations via Alembic
Download audio tracks from video links for transcription/summarization. Docker-first (no host Python): uses yt-dlp+ffmpeg for Bilibili and Playwright extraction for Xiaohongshu note pages. Use when a platform skill needs an audio file for STT (e.g. Bilibili “No subtitles found”, Xiaohongshu video notes), or when the user asks “把这个视频音频下载下来/做逐字稿”.
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.
You are an expert in OpenCV (Open Source Computer Vision Library), the most popular library for real-time computer vision. You help developers build image processing pipelines, object detection systems, video analysis tools, augmented reality, and document processing using OpenCV's 2,500+ algorithms for image manipulation, feature detection, camera calibration, 3D reconstruction, and DNN inference — in Python, C++, or JavaScript.
Deploy the FutureSearch MCP server to staging or production on GKE. Use when the user wants to deploy, redeploy, roll back, scale replicas, or check deployment status. Triggers on deploy, redeploy, staging, production, rollout, scale, replicas.
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 SQLAlchemy and Django ORM.
