A 4-week build-along series for creating Claude Skills to solve real-world business optimization challenges. Operations teams build and deploy AI skills to automate workflows. Connects to Claude AI and business process management tools.
git clone https://github.com/bjulius/Capital-Slice-Build-Along.gitCapital-Slice-Build-Along is a structured 4-week project that teaches Claude Skills development through a practical business optimization case study. Participants build an automated decision support system for a DC food truck operation, learning to ingest weekly data on locations, weather, events, and competitor activity to generate optimal positioning recommendations. The project covers skill creation, testing, evaluation, source control, documentation, and distribution using Claude Code. It's designed for data analysts, operations teams, and developers who want to implement AI-driven workflow automation in real-world business scenarios.
Download the briefing documents from the GitHub repository and load them into a Claude Code project folder. Enable Code Execution and the skill-creator in Claude Desktop settings. Follow the 4-week schedule starting with initial skill build in Week 1, then progress through testing, source control, and distribution phases.
Automating weekly logistics and positioning decisions for mobile service businesses
Building data-driven competitive intelligence systems for operations teams
Creating reusable Claude Skills for market and location analysis
Developing decision support systems that integrate weather, events, and competitor data
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/bjulius/Capital-Slice-Build-AlongCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I'm starting the Capital-Slice-Build-Along program. My company is [COMPANY] in the [INDUSTRY] sector. Our goal is to automate [SPECIFIC WORKFLOW]. Can you guide me through the first week's tasks, including setting up our development environment and identifying key data sources?
# Capital-Slice-Build-Along: Week 1 Kickoff ## Development Environment Setup 1. **Claude API Access**: Configured API credentials for [COMPANY]'s operations team 2. **Version Control**: Initialized Git repository with .gitignore for Claude-specific files 3. **Local Testing**: Set up Python virtual environment with required dependencies ## Initial Workflow Analysis ### Key Data Sources Identified: - [INDUSTRY]-specific operational data from [DATA SOURCE 1] - Customer interaction logs from [DATA SOURCE 2] - Inventory management system at [DATA SOURCE 3] ### Initial Automation Opportunities: - Automated data reconciliation between [SYSTEM A] and [SYSTEM B] - Predictive maintenance scheduling for [EQUIPMENT TYPE] - Dynamic resource allocation for [PROCESS NAME] ## Next Steps: 1. Complete security review of data access protocols 2. Schedule team training on Claude API fundamentals 3. Begin prototype development for [PRIORITY WORKFLOW]
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