Managing Python Dependencies
by gemini-cli-extensions2df10e25bbf7Apache-2.0215 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today
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.
Add to a SourceWeft workspace
- Open the skill in your dashboard and add it to a workspace.
- Enable it for the chats that should use it.
This skill is instructions only: it ships no scripts to execute.
Add to SourceWeftYou will be asked to sign in first, then taken straight to this skill.
Ask your agent to install it
Paste this prompt into Claude Code, Codex, Cursor or another agent that can run commands — or into SourceWeft chat. The agent reads this skill's install guide, shows you its source, license and scripts, and installs it with the SourceWeft CLI once you agree.
Read https://sourceweft.com/skills/gh-gemini-cli-extensions-data-agent-kit-starter-pack-managing-python-dependencies/install.md and install the skill it describes. Before installing, show me its source, license and whether it ships scripts, and wait for my OK. Ask me before changing anything else on my machine.Install it yourself from a terminal
For Claude Code, Codex, Cursor and other local agents. The SourceWeft CLI fetches the skill from its source repository at the commit scanned here, and verifies every file against the hashes recorded when the skill was scanned. If anything differs, nothing is written.
npx @sourceweft/cli skills install gh-gemini-cli-extensions-data-agent-kit-starter-pack-managing-python-dependenciesAdd --agent claude-code, codex, cursor or universal to choose which agent gets it (Claude Code by default).
Upstream installer — not verified by SourceWeft
The open-source skills installer fetches the same pinned commit, but does not check the files against the hashes SourceWeft recorded.
npx skills add https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack/tree/2df10e25bbf7dba2570dce1b2e2e77870143969e/skills/managing-python-dependenciesSource and attribution
Source:gemini-cli-extensions/data-agent-kit-starter-packinskills/managing-python-dependenciesat commit2df10e2
License: Apache-2.0
Content belongs to its original authors. SourceWeft indexes it from a public repository.
More from gemini-cli-extensions/data-agent-kit-starter-pack
Schema Mapping
gemini-cli-extensions
Plans source-to-target schema mappings for ETL, ELT, or data integration work, producing a documented Mapping Manifesto.
Resolving Mcp Region Configs
gemini-cli-extensions
Fixes unreplaced region placeholders in regional Google Cloud MCP server configs so missing MCP tools register.
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.
Ml Best Practices
gemini-cli-extensions
Guides machine learning notebooks with step-by-step plans for clustering, forecasting, classification, regression and model comparison.
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).
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.
More in Software Development
Playground
anthropics
Builds self-contained interactive HTML playgrounds with controls, live preview, and copyable prompt output.
M5 Onboard
anthropics
Provisions M5Stack ESP32 boards by detecting them on USB, flashing UIFlow 2.0 firmware, and installing a MicroPython app bundle.
Cardputer Buddy
anthropics
Guides iterating on a Cardputer-Adv MicroPython app bundle: adding apps, pushing files over USB-serial, tailing logs, and running REPL commands.
Dpop Adoption
Guides implementation of OAuth 2.0 DPoP (RFC 9449) sender-constrained refresh tokens for Google's OAuth platform.
Gemini Live Api
Generates a Gemini Live API WebSocket client class, tests, docs, and a demo UI for bidirectional streaming.
Gemini Api
Guides use of the Gemini API on Google's Agent Platform with the Gen AI SDK across languages and capabilities.