Managing Python Dependencies

作者 gemini-cli-extensions2df10e25bbf7Apache-2.0215 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新

Ensures proper Python dependency management, avoiding global `pip install` and adhering to project-specific tooling. Use this skill if any of the following are true: 1. Attempting to run `pip install {package_name}`. 2. Python packages or dependencies need to be added or modified. 3. Initiating a new Python project. 4. Creating a new notebook, even if just using BigQuery cells. 5. Generating Python code that includes `import` statements for third-party libraries. 6. Before executing Python scripts via the terminal to ensure the correct virtual environment is active.

AI 生成的概览

指导代理检测 Python 项目的依赖管理器并正确安装依赖,而不是使用全局 pip。

功能
该技能提供管理 Python 依赖的规则。它要求代理检查工作区中的锁文件和配置文件,选择匹配的工具(uv、Poetry、Pipenv、Conda 或 venv 加 pip),并使用该工具的安装与初始化命令。它还定义了默认的 venv 加 pip 工作流,并列出了禁止的操作,例如全局 pip 安装。
适用场景
在添加或修改 Python 包、启动新的 Python 项目、创建笔记本、生成包含第三方导入的 Python 代码,或从终端运行 Python 脚本时使用。其目的是让安装方式与项目现有工具保持一致。
运行要求
不附带脚本,仅为说明性指令。它假定存在带有 Python 的 shell 环境以及项目所用的依赖管理器,安装包时可能需要网络访问。

Python Dependency Management Rule

[!CAUTION]

BEFORE any pip install: You MUST first detect the project's existing dependency manager and use it correctly. Do NOT override the project's established tooling.

[!NOTE]

Pre-Flight Environment Check Bundling: You MUST NOT run multiple sequential 1-line shell check commands (e.g. separate commands for python version, pyspark version, auth check, pip list). Combine all pre-flight environment and package availability probes into a single composite python one-liner or shell check step.

Example composite probe:

bash
python3 -c "import sys, importlib.util; print(f'Python {sys.version.split()[0]}'); [(print(f'{pkg}: {__import__(pkg).__version__}') if importlib.util.find_spec(pkg) else print(f'{pkg}: not found')) for pkg in ['pyspark', 'google.cloud.bigquery']]"

This bundling also applies to dependency manager detection; use a single ls or find command to check for all potential dependency manager configuration and lock files at once (e.g. ls uv.lock poetry.lock Pipfile.lock requirements.txt pyproject.toml).

Dependency Manager Detection

Before installing ANY Python package, check the workspace for these files in priority order:

  1. Signal: uv.lock or pyproject.toml with [tool.uv]
    • Tool: uv
    • Install: uv add <package>
    • Setup: uv sync
  2. Signal: pyproject.toml with [tool.poetry]
    • Tool: Poetry
    • Install: poetry add <package>
    • Setup: poetry install
  3. Signal: Pipfile
    • Tool: Pipenv
    • Install: pipenv install <package>
    • Setup: pipenv install
  4. Signal: environment.yml
    • Tool: Conda
    • Install: conda install <package>
    • Setup: conda env create -f environment.yml
  5. Signal: requirements.txt only
    • Tool: venv + pip
    • Install: .venv/bin/pip install <package>
    • Setup: .venv/bin/pip install -r requirements.txt
  6. Signal: None of the above
    • Tool: venv + pip (default)
    • Install: .venv/bin/pip install <package>
    • Setup: .venv/bin/pip install -r requirements.txt

Default: venv + pip

If no dependency manager is detected, use venv + pip + requirements.txt as the default:

bash
# Initialize environmentpython3 -m venv .venv
# Add dependencies.venv/bin/pip install <package>
# Preserve state.venv/bin/pip freeze > requirements.txt

Rules for venv + pip workflow:

  • Always use .venv/bin/pip or .venv/bin/python (explicit path).
  • After installing, run: .venv/bin/pip freeze > requirements.txt.
  • When setting up: .venv/bin/pip install -r requirements.txt.

Prohibited

  • NEVER run pip install globally
  • NEVER override an existing dependency manager with a different one

来源与署名

来源:gemini-cli-extensions/data-agent-kit-starter-pack位于skills/managing-python-dependencies提交2df10e2

许可证: Apache-2.0

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

举报或申请下架

更多来自 gemini-cli-extensions/data-agent-kit-starter-pack 的技能

Schema Mapping

gemini-cli-extensions

为 ETL、ELT 或数据集成任务规划源到目标的模式映射,产出文档化的映射宣言。

Data & Analytics215今天更新

Resolving Mcp Region Configs

gemini-cli-extensions

修复区域级 Google Cloud MCP 服务器配置中未替换的区域占位符,使缺失的 MCP 工具得以注册。

DevOps & Cloud215今天更新

Notebook Guidance

gemini-cli-extensions

This skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full notebook generation depending on tool availability), library installation, and structuring notebooks for clarity. It also covers specific rules for data cleaning, plotting, and integrating with BigQuery SQL and machine learning workflows. Relevant when any of the following conditions are true: 1. The user request involves a data analysis, data exploration, data visualization, or data insights task that requires multiple steps, queries, or visualizations to answer. 2. The user explicitly requests a notebook (.ipynb). 3. You are creating, editing, or executing cells in a Jupyter notebook. 4. You need to query BigQuery from within a notebook. DO NOT use the Python BigQuery client library; instead, you MUST use the `%%bqsql` magics explained in this skill.

待分类215今天更新

Ml Best Practices

gemini-cli-extensions

为机器学习笔记本提供分步方案,涵盖聚类、预测、分类、回归和模型比较。

Data & Analytics215今天更新

Google Cloud Storage Fuse

gemini-cli-extensions

Mounts Cloud Storage buckets as a POSIX file system with Cloud Storage FUSE (gcsfuse). Use when you need to interact with gcsfuse — decide whether FUSE, native gs:// reads, or Filestore/Managed Lustre fits a workload, deploy tuned mounts on GKE, Compute Engine, or Cloud Run, enable and size the file, stat, and list caches, tune mount flags or config-file settings, apply workload profiles, keep ML checkpointing safe (rename atomicity, hierarchical namespace, close-time finalization, concurrent writers), or diagnose slow training, low throughput, or GCS bill spikes on existing mounts with gcsfuse metrics. Covers mount semantics, the gcsfuse CLI and config file, the GKE gcsfuse CSI driver (Workload Identity principal:// bindings, profile StorageClasses, sidecar sizing), and Cloud Run volume mounts. Don't use for bucket administration or data management without a mount (google-cloud-storage-basics) or for fully POSIX-compliant shared file systems (Filestore, Managed Lustre).

待分类215今天更新

Google Cloud Auth Verification

gemini-cli-extensions

Mandatory Step 0 pre-flight execution order and authentication verification for Google Cloud Platform (GCP), Application Default Credentials (ADC), gcloud CLI, Spark, Dataproc, BigQuery, GCS, and notebook runtimes. Use whenever interacting with GCP resources, running Spark/PySpark pipelines, BigQuery queries, GCS paths (gs://), or creating/running notebooks.

待分类215今天更新