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container-toolchain

Documents available CLI tools bq, gcloud, and uv inside the container environment.

Updated Feb 11, 2026
Search Tags:#python#uv#cli#gcloud#container#BigQuery#bq
One-click install
npx skills add https://github.com/74th/test-llm-agent --skill container-toolchain-74th
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: container-toolchain
Source: https://github.com/74th/test-llm-agent/tree/main/20260922-claude-code-self-hosted-environment/workspace/.claude/skills/container-toolchain
Command: npx skills add https://github.com/74th/test-llm-agent --skill container-toolchain-74th

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? This Skill clarifies which command-line tools are available in the current container, where Python itself is not installed, so you avoid failed attempts to run unavailable interpreters. ## Core Features & Use Cases - BigQuery Access via bq/gcloud: Run BigQuery queries and Google Cloud operations directly with the preinstalled google-cloud-sdk. - Ad-hoc Python via uv: Execute Python scripts without a virtual environment using uv run --with <package> script.py. - Preconfigured Authentication: Use the container-provided GOOGLE_APPLICATION_CREDENTIALS for BigQuery access without extra setup. - Use Case: When you need to query a BigQuery table, choose either the bq CLI directly or a Python script run with uv run --with google-cloud-bigquery. ## Quick Start Ask the assistant to run a BigQuery query using the bq command available in this container.

Frequently Asked Questions about container-toolchain

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run a Python script without Python installed in a container?▼

Use uv to run Python scripts without installing Python or creating a virtual environment. Run `uv run --with <package> script.py` to execute a script with any required libraries resolved on the fly.

How to query BigQuery from a container command line?▼

Use the bq command from the preinstalled google-cloud-sdk to run BigQuery queries directly. Alternatively, run a Python script with `uv run --with google-cloud-bigquery` for programmatic access.

bq command vs google-cloud-bigquery Python library, which should I use?▼

Both reach BigQuery in this container. Use bq for quick one-off queries and shell scripting, and use the google-cloud-bigquery library via uv when you need programmatic result processing in Python.

Do I need to set up Google Cloud credentials in this container?▼

No, credentials are already provided. The container includes GOOGLE_APPLICATION_CREDENTIALS, so both bq and uv-based Python scripts authenticate to BigQuery without additional configuration.

Can I install Python packages permanently in this container?▼

Python itself is not installed, so traditional pip installs are unavailable. Instead, pass dependencies per-run with `uv run --with <package>`, which resolves libraries without a persistent virtual environment.

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