package-distribution
9
writing-python
Idiomatic Python 3.14+ development. Use when writing Python code, CLI tools, scripts, or services. Emphasizes stdlib, type hints, uv/ruff toolchain, and minimal dependencies.
alexei-led
development
query active
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scripting
9
osworld-execute
Execute Python code (typically pyautogui commands) in the OSWorld environment. Returns execution result with success status, return code, duration, stdout, and stderr.
bdambrosio
development
scripting
9
python-style
Python coding conventions and best practices. Use when writing, reviewing, or refactoring Python code, or when working with Python scripts and projects.
hoelzro
development
productivity-tools
9
file-issues
Parse evaluation reports and create GitHub issues on attempt repositories for each shortcoming, warning, or improvement opportunity identified during review. Supports Python and Swift/iOS projects.
brazil-bench
tools
technical-docs
9
scientific-documentation
This skill should be used when the user asks to "set up documentation", "create docs for Python package", "configure Sphinx", "set up MkDocs", "write docstrings", "use NumPy-style docstrings", "set up Read the Docs", "integrate Jupyter notebooks in docs", "organize documentation with Diataxis", "create API reference docs", "build documentation with nox", "fix documentation build errors", "documentation build fails", "sphinx warning", "autodoc error", "fix sphinx errors", "make documentation accessible", "accessibility guidelines for docs", "accessible images", "alt text for figures", "colorblind-friendly plots", "color contrast in docs", or needs guidance on scientific Python documentation best practices, Sphinx extensions, documentation themes (pydata-sphinx-theme, furo, material), documentation hosting, accessibility standards, or troubleshooting documentation issues.
uw-ssec
documentation
ide-plugins
9
code-formatter
Formats code according to Ben's style guidelines for TypeScript, Python, and general best practices. Use when formatting code, fixing linting issues, checking naming conventions, organizing imports, or when user mentions formatting, style, linting, Prettier, Black, or ESLint.
benshapyro
tools
automation-tools
9
code-quality-tools
Configure and use automated code quality tools (ruff, mypy, pre-commit) for scientific Python projects. Use when setting up linting, formatting, type checking, or automated quality gates. Ideal for enforcing code style, catching type errors, managing pre-commit hooks, or integrating quality checks in CI/CD pipelines.
uw-ssec
tools
code-quality
9
error-handler
Provides battle-tested error handling patterns for TypeScript and Python. Use when implementing error handling, creating try/catch blocks, or handling exceptions.
benshapyro
testing-security
ide-plugins
9
code-reviewer
Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, security scanning, and review checklist generation. Use when reviewing pull requests, providing code feedback, identifying issues, or ensuring code quality standards.
rickydwilson-dcs
tools
code-quality
9
code-styleguides
Language-specific code style guidelines. Use when writing TypeScript, Python, Go, JavaScript, or HTML/CSS code to ensure consistent, idiomatic, and maintainable code following best practices.
lackeyjb
testing-security
debugging
9
python-code-review
Reviews Python code for type safety, async patterns, error handling, and common mistakes. Use when reviewing .py files, checking type hints, async/await usage, or exception handling.
existential-birds
tools
testing
9
code-assist
This sop guides the implementation of code tasks using test-driven development principles, following a structured Explore, Plan, Code, Commit workflow. It balances automation with user collaboration while adhering to existing package patterns and prioritizing readability and extensibility. The agent acts as a Technical Implementation Partner and TDD Coach - providing guidance, generating test cases and implementation code that follows existing patterns, avoids over-engineering, and produces idiomatic, modern code in the target language. Supports Python, Swift/iOS, and other languages.
brazil-bench
testing-security
testing
9
python-testing
Write and organize tests for scientific Python packages using pytest following Scientific Python community best practices. Use when setting up test suites, writing unit tests, integration tests, testing numerical algorithms, configuring test fixtures, parametrizing tests, or setting up continuous integration. Ideal for testing scientific computations, validating numerical accuracy, and ensuring code correctness.
uw-ssec
testing-security
system-admin
9
datum-system
Helps work with the b00t datum system - TOML-based configuration for AI models, providers, and services. Datums are stored in ~/.dotfiles/_b00t_/ and specify WHICH environment variables are required (not the values). Enables DRY approach by centralizing configuration in Rust, exposed to Python via PyO3.
elasticdotventures
tools
smart-contracts
9
auditor-neuron
Authoritative architectural auditor for the CyberXiuXian Workshop. Activates when performing project audits, code reviews, or enforcing modularity and zero-copy standards across Rust and Python.
tao3k
blockchain
smart-contracts
9
alkahest-developer
Help developers write code that interacts with Alkahest escrow contracts using the TypeScript, Rust, or Python SDK
arkhai-io
blockchain
monitoring
9
opentelemetry
Instrument apps with OpenTelemetry for distributed tracing, metrics, and logs. Use when setting up OTel SDK, auto-instrumenting Python/Node.js, configuring Collector pipelines, or choosing sampling.
jayll1303
devops
astronomy-physics
9
scipy
Comprehensive guide for SciPy - the fundamental library for scientific and technical computing in Python. Use for integration, optimization, interpolation, linear algebra, signal processing, statistics, ODEs, Fourier transforms, and advanced scientific algorithms. Built on NumPy and essential for research and engineering.
tondevrel
research
astronomy-physics
9
marine-engineering-excel-analyzer
Analyzes Excel workbooks with marine engineering calculations and extracts formulas, data structures, and engineering models for Python implementation
vamseeachanta
research
astronomy-physics
9
xarray
N-dimensional labeled arrays and datasets in Python. Built on top of NumPy and Dask. It introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, making data analysis in physical sciences more intuitive and less error-prone. Use for working with multi-dimensional scientific data, NetCDF/GRIB/Zarr files, climate/weather/oceanographic datasets, remote sensing, geospatial imaging, large out-of-memory datasets with Dask, and labeled array operations.
tondevrel
research