python-sandbox
在沙盒环境中执行Python代码，用于数据分析、可视化和生成Excel、Word、PDF等文件。支持数据清洗、统计分析、机器学习、图表生成、文档自动化等复杂工作流。
snakemake-compact
Compact Snakemake workflow patterns. Keep rules short, complex logic in Python modules.
ellies-nix-environment
Nix environment patterns for Ellie's projects. Use when (1) a tool or command is not available on the system, or (2) setting up a new project that needs a development environment. Provides patterns for ad-hoc tool execution and flake-based devShells with direnv.
processing-parallel-tasks-lite
Provides essential parallel processing patterns with Parallel.ForEach and PLINQ. Use when quickly referencing core parallel processing techniques without detailed explanations.
build-feature
Autonomous task loop that picks ready tasks, implements them, updates progress.txt, commits, and repeats. Use when asked to 'build feature', 'run the loop', or 'implement these tasks'.
moai-lang-python
Enterprise-grade Python expertise with production patterns for Python
python-runner
Python 프로젝트 실행, 테스트, 문법 검사, 임포트 검증을 위한 스킬. `scripts\python-runner.bat`를 사용합니다.
cva-quickref-libpython
Quick reference cheatsheet for libpython-clj Python interop. Includes initialization, module imports, function calls, data conversions, NumPy/Pandas/Transformers patterns, and troubleshooting. Use when calling Python from Clojure, using Python libraries, or debugging interop issues.
python-async-workers
Generate Python background workers, cron jobs, message queue consumers. Use when creating scheduled tasks (APScheduler), Celery workers, RabbitMQ/Redis queue consumers, or async job processing. Follows project async patterns and integrates with existing services.
multi-agent-dispatch
Dispatch tasks to remote VMs for parallel execution or specialized work.
pi-deployment
Handles deployment, testing, and debugging of Bob The Skull code on Raspberry Pi. Use when deploying to Pi, testing remote code, troubleshooting Pi issues, or setting up new Pi hardware.
mova-workflow-author-v0
Use for creating new packs/workflows, adding domains/workers, or adding quality/neg suites with station-compatible scripts.
processing-parallel-tasks
Implements parallel processing using Parallel, PLINQ, and ConcurrentCollections in .NET. Use when processing CPU-bound tasks in parallel or improving multi-core utilization.
parallel-execution-patterns
Use when performing multiple independent operations like reading multiple files, searching patterns, or querying memory - executes operations in parallel for 5-8x performance improvement by sending all tool calls in a single message
test-notebooks
Validates Jupyter notebook execution, outputs, and educational quality metrics
ruby-standard-library
Use when working with Ruby's standard library including Enumerable, File I/O, Time/Date, Regular Expressions, and core classes.
py-timestamp
Print a UTC timestamp by running a short Python script via the shell tool.
