Languages — Engineering Claude Skills (Page 13 of 22)

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python-database-patterns

SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work — from…

python-dataclasses

Choose between dataclass, NamedTuple, and pydantic, and configure frozen, slots, and validation correctly.

python-datamodel

Python アプリケーションのドメインモデル / DTO / API スキーマを Pydantic v2 で設計するとき。BaseModel、field_validator / model_validator、computed_field、model_config (frozen,…

python-dead-code

Detect and remove unused Python code using vulture and ruff. Covers unused imports, variables, functions, classes, and unreachable code.

python-debug-execution

Debug Python scripts with proper error surfacing and working directory verification

python-debug-execution-911f17

Debug Python script execution failures by capturing full tracebacks and verifying working directory

python-debug-pattern

Debug Python script execution failures by capturing full output with exit codes and verifying working directory before file operations

python-debugger

Systematically debug Python code using structured error analysis, logging inspection, and test-driven fixes

python-debugpy

Use when debugging Python via pdb or remote debugpy (DAP). Triggers: pdb, debugpy, remote debug python.

python-decorator

负责《Paddle API 对齐 PyTorch 项目》中 Step2：API 代码修改，实施『Python 装饰器』方案。通过 Python 装饰器，在 Python 层为 Paddle API 实现参数名称、参数顺序、参数类型和参数用法的重载，实现 PyTorch 风格的 API 调用，并保持 Paddle API 的向后兼容性。

python-decorators

Write decorators that preserve signatures and compose cleanly, including parameterized and class-applied forms.

python-dependency-graph-resolver

Resolves and visualizes Python package dependency graphs using pip, pipdeptree, and the PyPI JSON API.

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-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-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-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-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