AnswerRocket Skill Builder Starter Repository

A ready-to-use starter repository for building AnswerRocket skills with Claude Code. This repository comes pre-configured with development tools, testing utilities, and deployment scripts to accelerate your skill development.

🚀 Quick Start

Prerequisites

Before getting started, ensure you have:

• Python 3.11+ - Check with python --version
• Claude Code installed and configured
• AnswerRocket instance with API access
• Git for version control

Verify Prerequisites

# Check Python version (should be 3.11+)
python --version

# Check if you can access your AnswerRocket instance
curl -I https://your-answerrocket-instance.com

# Verify Git is installed
git --version

Setup

1. Create Virtual Environment

   # Create virtual environment
   python -m venv .venv
   
   # Activate virtual environment
   # On macOS/Linux:
   source .venv/bin/activate
   # On Windows:
   # .venv\Scripts\activate

2. Install Dependencies

   pip install -e .

3. Configure Environment

   Create a .env file in the root directory with your AnswerRocket credentials:

   # AnswerRocket Instance Configuration
   AR_URL=https://your-answerrocket-instance.com
   AR_TOKEN=your_api_token_here
   
   # Project Configuration
   COPILOT_ID=your_copilot_id
   DATASET_ID=your_default_dataset_id
   DATABASE_ID=your_default_database_id
   REPO_ID=your_repository_id

   Where to find these values:

   • AR_URL: Your AnswerRocket instance URL
   • AR_TOKEN: Generate in AnswerRocket → User Panel → SDK key
   • COPILOT_ID: Found in your AnswerRocket → Studio → Copilots
   • DATASET_ID: Available in AnswerRocket → Studio → Datasets
   • DATABASE_ID: Found in AnswerRocket → Studio → Databases
   • REPO_ID: Your skill repository ID in AnswerRocket

4. Verify Setup

   ./builder_utils/scripts/run-all-tests

   You should see all tests pass with green checkmarks ✅

📁 What's Included

├── builder_utils/              # Pre-built development tools
│   ├── scripts/               # Ready-to-use command utilities
│   └── tests/                 # Environment validation
├── skills.txt                  # Skill registry
├── CLAUDE.md                   # Claude Code configuration
└── pyproject.toml              # Dependencies and project config

🛠️ Built-in Development Tools

This repository comes with pre-built command-line utilities to speed up your development:

Tool	Purpose	Example Usage
run-python	Execute Python code or files	./builder_utils/scripts/run-python "print('test')"
get-dataset-metadata	Retrieve your dataset schema and information	./builder_utils/scripts/get-dataset-metadata
execute-sql	Run SQL queries against your AnswerRocket database	./builder_utils/scripts/execute-sql
run-skill	Test skills locally with parameters	./builder_utils/scripts/run-skill my_skill --parameters '{}'
test-visualization	Test skill visualizations for errors and console issues	./builder_utils/scripts/test-visualization skill.py func --json-only
package-skill	Validate and package a specific skill for deployment	./builder_utils/scripts/package-skill my_skill.py
sync-repo	Deploy skills to AnswerRocket	./builder_utils/scripts/sync-repo
run-all-tests	Validate your development environment	./builder_utils/scripts/run-all-tests

Detailed Tool Examples

# Test your environment
./builder_utils/scripts/run-all-tests

# Explore your data
./builder_utils/scripts/get-dataset-metadata
./builder_utils/scripts/execute-sql

# Execute Python code directly
./builder_utils/scripts/run-python "import pandas as pd; print(pd.__version__)"

# Test a skill with specific parameters
./builder_utils/scripts/run-skill my_skill --parameters '{"param1": "value1"}'

# Test skill visualizations for errors
./builder_utils/scripts/test-visualization my_skill.py my_skill_function --json-only
./builder_utils/scripts/test-visualization my_skill.py my_skill_function --full-test

# Package and validate a skill
./builder_utils/scripts/package-skill my_skill.py

# Deploy all registered skills
./builder_utils/scripts/sync-repo

💡 Key Features

Pre-configured Environment

• AnswerRocket SDK integration - Ready-to-use client setup
• Skill framework - Latest skill-framework package with UI components
• Testing utilities - Pytest and Playwright for comprehensive testing
• Data tools - Pandas, NumPy for data manipulation

Development Workflow Support

• Environment validation - Automated checks for proper setup
• Data exploration - Built-in tools to understand your datasets
• Skill testing - Local and remote testing capabilities
• Deployment automation - One-command deployment to AnswerRocket

Best Practices Built-in

• Organized file structure - Clear separation of skills and helper files
• Testing framework - Comprehensive test coverage requirements
• Version control ready - Git integration with proper .gitignore

🧪 Testing Framework

This repository includes a comprehensive testing framework to validate your development environment:

Test Categories

The testing suite covers:

• Package imports and connections - Validates all required packages are installed
• AnswerRocket client functionality - Tests API connectivity and authentication
• Skill framework components - Verifies skill-framework package integration
• Visualization framework - Tests UI component rendering capabilities
• Helper utilities - Validates all builder tools are working correctly

Running Tests

# Run all environment tests
./builder_utils/scripts/run-all-tests

# Run specific test categories
python -m pytest builder_utils/tests/test_packages_and_connections.py -v
python -m pytest builder_utils/tests/test_skill_preview_example.py -v
python -m pytest builder_utils/tests/test_visualization_framework.py -v
python -m pytest builder_utils/tests/test_helper_utilities.py -v
python -m pytest builder_utils/tests/test_executor_integration.py -v

Testing Skill Visualizations

The test-visualization tool helps debug and validate skill visualizations before deployment:

# Quick JSON validation (recommended for development)
./builder_utils/scripts/test-visualization my_skill.py my_skill_function --json-only

# Full browser test with console error detection
./builder_utils/scripts/test-visualization my_skill.py my_skill_function --full-test

# Test with parameters
./builder_utils/scripts/test-visualization dashboard.py create_dashboard --json-only --parameters '{"region": "US"}'

# Debug mode (visible browser for troubleshooting)
./builder_utils/scripts/test-visualization chart_skill.py my_chart --full-test --visible

Key Features:

• ⚡ Fast JSON validation: Detects JavaScript functions in JSON, missing properties, invalid structure
• 🌐 Browser testing: Uses skill-framework preview server to render charts and detect console errors
• 🔍 Error detection: Catches common visualization errors like Highcharts configuration issues
• 🧹 Clean testing: Uses temporary files with automatic cleanup
• 📊 Performance metrics: Reports page load times and response status
• ✅ CLI compatible: Returns proper exit codes for automated workflows

🤖 Claude Code Integration

This repository is specifically designed to work with Claude Code, providing an AI-powered development experience:

How It Works

1. CLAUDE.md Configuration - Contains detailed instructions for Claude Code on how to:

   • Build skills using the skill-framework
   • Use the helper tools effectively
   • Follow best practices for skill development
   • Interact with specialized sub-agents

2. Sub-Agent System - Claude Code has access to specialized research agents:

   • skill-framework-specialist - Expert on skill-framework package
   • visualization-specialist - Expert on creating visualizations
   • ar-sdk-specialist - Expert on AnswerRocket SDK

3. Automated Workflow - Claude Code follows a structured process for skill development

Working with Claude Code

Claude Code will automatically use the appropriate tools and follow best practices for skill development, testing, and deployment.

🚨 Troubleshooting

Common Setup Issues

Virtual Environment Problems

# If activation fails
python -m venv --clear .venv
source .venv/bin/activate
pip install -e .

Environment Variable Issues

# Check if .env file exists and has correct values
cat .env

# Test AnswerRocket connection
./builder_utils/scripts/run-python "
from answerrocket_client import AnswerRocketClient
import os
client = AnswerRocketClient()
print('✅ Connection successful')
"

Tool Execution Issues

# Make sure scripts are executable
chmod +x builder_utils/scripts/*

# If tools fail, check virtual environment
which python
pip list | grep skill-framework

Common Skill Development Issues

Skill Not Found Error

• Ensure skill file is in the root directory
• Check that @skill decorator is present
• Verify skill name matches function name

Parameter Errors

# Always pass parameters as JSON string
./builder_utils/scripts/run-skill skill_name --parameters '{"param1": "value1"}'

# Not like this:
./builder_utils/scripts/run-skill skill_name --parameters param1=value1

Packaging Failures

• Ensure all imports are available
• Check that skill returns SkillOutput object
• Verify all required parameters are defined

Database Connection Issues

# Test database connection
./builder_utils/scripts/execute-sql
# Follow prompts to test SQL queries

Getting Help

1. Check Test Results: ./builder_utils/scripts/run-all-tests
2. Validate Environment: Ensure all environment variables are set correctly
3. Review Logs: Check error messages for specific issues
4. Ask Claude Code: Describe your issue for automated troubleshooting

📚 Architecture Overview

Repository Structure

├── builder_utils/           # Development tools and utilities
│   ├── scripts/            # Command-line tools
│   ├── tests/              # Environment validation tests
│   └── *.py                # Core utility modules
├── .claude/                # Claude Code research cache
├── skills.txt              # Skill registry for deployment
├── CLAUDE.md               # Claude Code configuration
├── .env.example            # Environment template
└── your_skills.py          # Your skill files go here

Data Flow

1. Development: Create skills using skill-framework
2. Testing: Validate locally with run-skill tool
3. Packaging: Validate deployment readiness
4. Registration: Add to skills.txt
5. Deployment: Sync to AnswerRocket via Git

Key Components

• skill-framework: Core skill development package
• answerrocket-client: API integration for data access
• Builder Utils: Custom tools for development workflow
• Testing Suite: Comprehensive validation framework

🔧 Dependencies Included

• skill-framework[ui] - Core AnswerRocket skill development with UI components
• answerrocket-client - API integration for data access and deployment
• pandas & numpy - Data manipulation and analysis
• pytest & playwright - Testing frameworks for comprehensive validation
• python-dotenv - Environment variable management

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Ready to build? Run ./builder_utils/scripts/run-all-tests to get started!