Looker Demo Creator (demo-create)

Automated, deterministic orchestrator for creating end-to-end Looker demos, synthetic BigQuery datasets, LookML semantic models, and Embedded Analytics portals.

Overview

demo-create is a developer and AI agent tool that unifies the end-to-end Looker demo creation lifecycle into a single workflow:

1. Pre-flight & Environment Audit (pre-check): Verifies active GCP/ADC accounts, installs/patches global MCP tools (data-designer, bigquery, lkr_codemode), and organizes agent skills into intent-based subfolders.
2. Dataset Decision & Synthesis: Automatically checks for existing BigQuery datasets, enables data augmentation or green-field relational schema generation, and validates referential integrity.
3. BigQuery Loading: Creates datasets and partitioned/clustered tables in BigQuery.
4. LookML Generation & Deployment: Autogenerates production-ready views, explores, and executive dashboards, provisioning and deploying them directly to the Looker instance using lkr-dev-cli.
5. Embedded Portal Scaffolding: Clones and configures a clean, dedicated looker-embed-demo workspace for external client demos.

Quickstart & Execution

1. Run Instantly with uvx (No Installation Required)

Once published to PyPI or your package index, you can execute the CLI on-demand in an ephemeral, isolated environment without creating a virtual environment or pre-installing dependencies:

# Run directly from the package name
uvx looker-demo-cli pre-check --fix

# Or invoke the `demo-create` binary explicitly
uvx --from looker-demo-cli demo-create pre-check --fix

Run with Options & Flags:

# Run pre-flight audit and auto-fix MCP / skills
uvx looker-demo-cli pre-check --fix

# Run end-to-end interactive demo creator
uvx looker-demo-cli run --project=retail_analytics --scope=internal

2. Install as a Persistent CLI Tool (uv tool)

To make demo-create / looker-demo-cli globally available on your shell's PATH:

# Install the published package globally in an isolated environment
uv tool install looker-demo-cli

# Now you can run it directly anywhere:
demo-create pre-check --fix
# or
looker-demo-cli pre-check --fix

To update to the latest version at any time:

uv tool upgrade looker-demo-cli

3. Running from Local Source or Git (Development)

If you are developing locally or testing before publishing:

Run directly from local source directory:

# Run from repository root
uvx --from . demo-create pre-check --fix

# Or run from anywhere by pointing to the repository path
uvx --from /path/to/looker-demo-cli demo-create pre-check --fix

Run directly from a Git repository:

uvx --from git+https://github.com/lkrdev/looker-demo-cli.git demo-create pre-check --fix

Local Editable Installation:

cd ~/looker-demo-cli
uv venv
uv pip install -e .

Commands & Usage

1. Environment & Skill Audit (pre-check)

# Run visual audit of GCP credentials, MCP tools, and intent skills
demo-create pre-check

# Automatically install missing MCP configs and symlink skills into intent subfolders
demo-create pre-check --fix

# Emit raw JSON report for programmatic agent consumption
demo-create pre-check --json

2. End-to-End Demo Creation (run)

# Interactive wizard
demo-create run --project=retail_insights --scope=internal

# Non-interactive / Agent Mode
demo-create run \
  --project=logistics_analytics \
  --scope=external \
  --gcp-project=my-analytics-project \
  --gcp-account=user@example.com \
  --agent-mode

Intent-Based Skill Organization

When you run demo-create pre-check --fix, skills are organized into ~/.gemini/config/skills/:

~/.gemini/config/skills/
├── data-design/
│   ├── data-designer/
│   ├── data-designer-architect/
│   ├── data-designer-engineer/
│   └── data-designer-evaluator/
├── lookml/
│   ├── repo-lookml/
│   ├── lookml-model/
│   ├── lookml-explore/
│   ├── lookml-view/
│   ├── lookml-dashboard/
│   └── embed-themes/
└── embed-portal/
    ├── setup-embed-demo/
    ├── customize-frontend/
    ├── customize-frontend-branding/
    ├── customize-frontend-theme/
    └── sso-embed/

This guarantees that any Jetski agent in any directory can discover and execute Looker demo workflows.