Languages — Engineering Claude Skills (Page 16 of 26)

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python-dependency-resolution-and-pinning

Use when when setting up a multi-stage bioinformatics workflow (e.g., ENPKG) that calls external tools (MZmine, Sirius, SPARQL engines) and depends on specific Python libraries;…

python-dependency-version-resolution

Use when when setting up a new conda environment for a Python-based bioinformatics pipeline and you need to confirm that all declared dependencies (e.g., pysam >=0.15.4, bx-python…

python-deps-pinning

Mide qué parte del árbol de dependencias Python de un repo es REALMENTE auditable por un scanner de vulnerabilidades, y nombra las que quedan fuera.

python-design-modularity

Use when designing module boundaries, planning refactors, or reviewing architecture in Python codebases.

python-design-patterns

Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance.

python-dev

Opinionated Python development setup with uv + ty + ruff + pytest + just. Use when creating new Python projects, setting up pyproject.toml, configuring linting, type checking,…

python-developer

Implement or fix small-to-medium Python features without full SDD (FastAPI/Flask, pytest). Use for isolated Python work or when invoking /python-developer.

python-development-python-scaffold

You are a Python project architecture expert specializing in scaffolding production-ready Python applications.

python-diagrams

**UTILITY SKILL** — Python diagram generation: WAF/cost/compliance charts (matplotlib), architecture diagrams (diagrams lib), ERDs, swimlanes, timelines, wireframes (graphviz).

python-django

Use when creating or modifying Python files in the src/backend/ directory — Django models, DRF views, serializers, services, selectors, Celery tasks, migrations, or tests.

python-docs

Python documentation conventions — a Google-style docstring on every public module, class, and function, enforced by ruff's pydocstyle (D) rules with the google convention, and…

python-docstring-extractor

Extracts and indexes Python module documentation using ast.parse and docstring_parser library. Supports Google, NumPy, and Sphinx docstring formats with type hint…

python-egg-info-hygiene

Handle noisy git diffs from src/*.egg-info generated by editable installs (uv) and decide whether to commit or ignore.

python-engineering

Build maintainable Python applications and automation with typed boundaries, packaging, environments, tests, and robust subprocess handling.

python-engineering-profile

Apply focused Python engineering judgment after repository gate discovery. Use for Python packages, typing, async behavior, tests, dependencies, compatibility, and builds; defer…

python-env

Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies.

python-environment-configuration

Use when when you have installed a Python package (e.g., via pip or conda) and need to confirm that the installation succeeded and all expected submodules can be imported.

python-environment-management

Use when you are preparing to run Hi-C data normalization or read alignment filtering steps that depend on Python modules (iced, pysam, numpy, scipy) and you need to ensure…

python-environment-pinning

Use when when you have access to a research repository or README documenting a machine learning implementation (e.g., Keras/TensorFlow-based deep learning model) and need to…

python-environment-setup

Use when you have cloned a scientific repository containing Python code (scripts, Jupyter notebooks, or module imports) and need to execute it locally or on new hardware.

python-environment

Python environment setup with uv, shared utilities, and script structure guidelines.

python-environments

Pick an environment manager, pin dependencies with a lockfile, and produce reproducible installs that never touch system Python.

python-error-handling

Python error handling patterns including input validation, exception hierarchies, and partial failure handling.

python-errors-reliability

Use when designing error handling, retry policies, timeout behavior, or failure classification in Python.

python-execution-fallback

Four-step recovery workflow for code execution failures when inline Python fails

python-execution-fallback-9d4989

Fallback method for executing Python when execute_code_sandbox fails with unknown errors

python-executor