Initial commit: Clean DSS implementation
Migrated from design-system-swarm with fresh git history.
Old project history preserved in /home/overbits/apps/design-system-swarm
Core components:
- MCP Server (Python FastAPI with mcp 1.23.1)
- Claude Plugin (agents, commands, skills, strategies, hooks, core)
- DSS Backend (dss-mvp1 - token translation, Figma sync)
- Admin UI (Node.js/React)
- Server (Node.js/Express)
- Storybook integration (dss-mvp1/.storybook)
Self-contained configuration:
- All paths relative or use DSS_BASE_PATH=/home/overbits/dss
- PYTHONPATH configured for dss-mvp1 and dss-claude-plugin
- .env file with all configuration
- Claude plugin uses ${CLAUDE_PLUGIN_ROOT} for portability
Migration completed: $(date)
🤖 Clean migration with full functionality preserved
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# DSS Knowledge Base
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This directory contains structured data schemas for AI agent knowledge about the Design System Swarm project.
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## Files
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### Core Architecture
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- **dss-architecture.json** - Three-tier enterprise architecture (Router, Messaging, Workflows)
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- Module specifications
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- Design patterns applied
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- Performance metrics
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### Design Principles
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- **dss-principles.json** - Immutable core principles governing DSS
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- Monolithic structure definition
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- Translation dictionary patterns
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- Custom props strategy
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- Multi-system ingestion flow
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- UI library normalization rules
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### MCP Tools
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- **mcp-tools.json** - MCP-first tool specifications
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- 6 Project Management Tools
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- 5 Context Compiler Tools
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- Tool inputs, outputs, and operations
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- Architecture benefits
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## Usage
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These JSON schemas are designed to be:
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1. **Machine-readable** - AI agents can parse and query efficiently
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2. **Version-controlled** - Track changes to project knowledge
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3. **Single source of truth** - Eliminate redundant documentation
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4. **Queryable** - Enable semantic search and analysis
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## MCP Memory Graph
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The knowledge in these files is also synchronized to the MCP memory graph for cross-session persistence and relationship mapping.
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See the main [README.md](../README.md) for project overview and natural language documentation.
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