Trouvez la capacité idéale pour votre agent.
Expert Django developer mastering Django 4+ with modern Python practices. Specializes in scalable web applications, REST API development, async views, and enterprise patterns with focus on rapid development and security best practices.
Python-specific container optimization patterns including slim base images (NOT Alpine), virtual environment handling, multi-stage builds with pip/poetry/uv, and optimization from ~1GB to ~80-120MB. Covers musl libc issues, wheel building, and Python-specific dependency management patterns. Use when working with Python containers, Dockerfiles for Python apps, or optimizing Python image sizes.
Core Python development concepts, idioms, best practices, and language features. Covers Python 3.10+ features, type hints, async/await, and Pythonic patterns. For running scripts, see uv-run. For project setup, see uv-project-management. Use when user mentions Python, type hints, async Python, decorators, context managers, or writing Pythonic code.
Install and manage global Python CLI tools with uv (pipx alternative). Covers uv tool install, uvx for ephemeral execution, tool isolation, and updates. Use when user mentions uv tool, uvx, installing CLI tools globally, pipx replacement, or running Python tools without installation.
Python project setup, dependencies, and lockfiles with uv package manager. Covers uv init, uv add, uv remove, uv lock, uv sync, and pyproject.toml configuration. Use when user mentions uv, creating Python projects, managing dependencies, lockfiles, pyproject.toml, or Python packaging with uv.
Install and manage Python interpreter versions with uv. Covers uv python install, uv python list, uv python pin, version pinning with .python-version file. Use when user mentions installing Python versions, switching Python versions, .python-version, uv python, or managing CPython/PyPy interpreters.
Run Python scripts with uv including inline dependencies (PEP 723), temporary dependencies (--with), and ephemeral tool execution. Use when running scripts, needing one-off dependencies, or creating executable Python scripts. No venv activation required.
Build and publish Python packages with uv and modern build tools. Covers uv build, uv publish, pyproject.toml, versioning, entry points, and PyPI publishing. Use when user mentions building packages, publishing to PyPI, uv build, uv publish, package distribution, or Python wheel/sdist creation.
Manage Python virtual environments in a consistent, organized way. Use when a skill needs Python packages installed, or when the user wants to create a venv following standard conventions. Provides the authoritative convention for venv location and naming that other skills should follow.
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
Comprehensive guidance for using pymatgen (Python Materials Genomics) for computational materials science. Covers structure creation and manipulation, file I/O (CIF, POSCAR, XYZ), symmetry analysis, Materials Project API integration, phase diagrams, electronic structure analysis, and DFT input generation. Use when working with crystal structures, materials properties, computational chemistry calculations, or materials databases. Triggers include 'pymatgen', 'crystal structure', 'Materials Project', 'CIF file', 'POSCAR', 'band structure', 'phase diagram', or materials analysis tasks.
Expert guidance for writing professional Python code following industry best practices including PEP 8 compliance, testing, type hints, error handling, and modern tooling. Use this skill when writing new Python code, refactoring existing code, setting up Python projects, implementing tests, or ensuring code quality and maintainability. Emphasizes: PEP 8, modularity, DRY principle, TDD, virtual environments (uv), and modern tooling (Ruff, Black, Mypy).
Expert guidance for Design of Experiments (DOE) in Python - interactive goal-driven design selection, classical DOE (factorial, response surface, screening), Bayesian optimization with Gaussian processes, model-driven optimal designs, active learning, and sequential experimentation; includes pyDOE3, pycse, BoTorch, Ax, scikit-optimize, statsmodels
Use when analyzing codebases for structure, finding symbols, tracing call paths, checking test coverage, or analyzing dependencies - provides instant AST-based code analysis using tree-sitter for Python, JavaScript, TypeScript, Rust, Java, Go, and C
Read and write compressed sequence files (gzip, bzip2, BGZF) using Biopython. Use when working with .gz or .bz2 sequence files. Use BGZF for indexable compressed files.
Check and configure modern package managers (uv for Python, bun for TypeScript)
Modern Python tooling best practices using uv, ruff, ty, and pytest. Mandates the Trail of Bits Python coding standards for project setup, dependency management, linting, type checking, and testing. Based on patterns from trailofbits/cookiecutter-python.
Comprehensive environment diagnostic, setup, and agent guide installation for the Vnstock ecosystem (Free or Sponsored). Validates OS, Python, venv, and performs migrations. Fully English documented.
