/env-forge:browse

Browse and materialize pre-built tool environments from the AWM-1K catalog. 1000 environments across 28 domains, ready to launch with no generation needed.

Usage

/env-forge:browse <category or keyword>
/env-forge:browse

Examples:

• /env-forge:browse e-commerce -- search for e-commerce environments
• /env-forge:browse Healthcare/Medical -- browse a specific category
• /env-forge:browse booking hotel -- keyword search
• /env-forge:browse -- list all categories

Workflow

1. Search or Browse

If the user provides a keyword or category, search the catalog:

uv run python env-forge/scripts/catalog.py --search "<keyword>"

Or list categories:

uv run python env-forge/scripts/catalog.py --list-categories

Present results as a numbered list with scenario name and description excerpt.

2. User Selects a Scenario

The user picks a scenario by name or number. Show details:

uv run python env-forge/scripts/catalog.py --details <scenario_name>

Display:

• Full description
• Task list (10 tasks)
• Table count
• Endpoint count

3. Materialize

Once confirmed, materialize the environment:

uv run python env-forge/scripts/materialize.py --scenario <scenario_name>

This creates the full environment directory at .env-forge/environments/<scenario_name>/:

• scenario.json -- metadata and tasks
• schema.sql -- SQLite DDL
• seed_data.sql -- INSERT statements
• api_spec.json -- API specification
• server.py -- FastAPI + MCP server
• verifiers.py -- task verification functions
• db/initial.db + db/current.db -- seeded SQLite databases
• pyproject.toml -- environment dependencies

4. Report

After materialization, display:

• Environment path
• Number of tables and endpoints
• How to start the server: cd .env-forge/environments/<name> && uv run python server.py
• How to connect via MCP: http://127.0.0.1:8000/mcp
• List of available tasks for testing

Categories

E-commerce/Marketplace, Booking/Reservation, Social/Community, Task/Project Management, Finance/Banking, Subscription/Membership, Inventory/Catalog, Messaging/Communication, Lists/Collections, Scheduling/Calendar, Forms/Surveys, Settings/Configuration, Healthcare/Medical, Education/Learning, Real Estate/Property, HR/Recruiting, Legal/Compliance, Logistics/Shipping, Food/Restaurant, Entertainment/Gaming, Fitness/Wellness, Travel/Hospitality, Automotive, IoT/Smart Devices, Developer Tools, CRM/Sales, Content Management, Analytics/Reporting.

Notes

• First run downloads JSONL files from Hugging Face (cached for subsequent runs)
• Requires huggingface_hub package: uv add huggingface_hub
• No HF authentication needed -- the dataset is public