- Remove broken git submodules that were blocking builds
- Remove .gitmodules file
- Add submodule directories to .gitignore
- These were reference docs not needed for deployment
Documents all work from D3 and Mapbox globe visualization sessions:
- System architecture and 6-phase execution model
- Complete D3 visualization system (3 generated visualizations)
- Complete Mapbox globe system (4 generated globes)
- Usage guide for all modes (single, batch, progressive, infinite)
- Technical deep dive into WebFetch, parallel agents, URL tracking
- Chronological breakdown of development process
- Future possibilities and lessons learned
Manual created as requested to document everything accomplished.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implemented progressive Three.js visualization system using web-enhanced
agentic loop pattern. Created comprehensive specifications and generated
5 foundation-level 3D visualizations with parallel agent deployment.
Features:
- Comprehensive Three.js progressive learning specification
- URL strategy with 25+ curated learning resources (foundation → expert)
- 5 self-contained HTML visualizations (50.7KB total):
* Viz 1: Rotating geometries with basic scene setup
* Viz 2: Animated lighting with dynamic point lights
* Viz 3: 10K particle system with custom shaders
* Viz 4: Material gallery showcasing 6 material types
* Viz 5: Geometry morphing with complex transformations
- Complete manual documentation (1,400+ lines)
- Updated CLAUDE.md with Three.js commands
Technical:
- Three.js v0.170.0 via CDN
- Self-contained architecture (no external dependencies)
- 60fps performance, responsive design
- Production-quality code with comprehensive comments
Inspired by ocean examples (webgl_shaders_ocean.html, webgpu_ocean.html)
Pattern supports scaling to 20+ iterations with progressive difficulty.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Extends the infinite loop pattern with web crawling integration, enabling
agents to learn from documentation, tutorials, and examples on each iteration.
Each agent fetches unique URLs, extracts techniques, and applies learnings to
create progressively sophisticated outputs.
Key additions:
- /project:infinite-web command with URL strategy and web priming
- D3 visualization spec with progressive learning pathway
- Curated URL strategy (foundation → expert) with 40+ resources
- Comprehensive guide for creating custom web-enhanced loops
- Demo: 3 D3 visualizations with selections, scales, and bar charts
System supports pre-defined URLs, dynamic web search, and parallel agents
with unique web research assignments. Generalizable to any domain where
progressive web-based knowledge acquisition improves output quality.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Claude
Shawn Anderson
IndyDevDan