🤖 HT Copilot AI Usage Guide
Welcome to your personal AI-augmented dev environment. This guide shows how to use GitHub Copilot Chat across your structured repos using space.json.
🗂️ Repo Roles
HT-Toolbox
Role: BIM Automation Scripts (pyRevit, Revit API)
- Analyze or refactor pyRevit tools
- Suggest UI improvements
- Generate test cases for automation
Sample Prompts:
- What does
RenameViews.py do?
- Improve the UX of
FilterByLevel.py
HT-AI-Playground
Role: Prompt Engineering, Assistant Memory, AI UX
- Store reusable AI prompts
- Test prompt styles, workflows, and logic
- Maintain roadmap and design strategy
Sample Prompts:
- List all .md prompts inside
prompts/
- Generate 3 new prompts for Dynamo scripts
HT-Portfolio
Role: Public branding, personal projects, SEO
- Update and style portfolio content
- Generate posts and documentation for blog
- Improve layout, metadata, and forms
Sample Prompts:
- Improve SEO tags for
index.html
- Draft a blog post about
CloneBuddy.py
🧠 Copilot Workflow
- Open a repo in VS Code
- Ensure
space.json exists and defines source_paths
- Launch Copilot Chat
- Ask questions based on what’s in the open repo
💡 Pro Tips
- Be repo-specific. Only open one at a time in VS Code.
- Use full filenames/folder paths in questions when needed.
- Keep prompts modular and versioned.