- Add verify=False to httpx.AsyncClient in figma_tools.py
- Add verify=False to requests.request in project/figma.py
- Replace .storybook/main.ts with main.cjs (CommonJS) to fix ESM loading error
- Add package.json with Storybook dependencies
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Button.css uses only CSS custom properties, no fallbacks
- Token validator now blocks hardcoded values (strict_mode: true)
- Hook scripts converted from ESM (.js) to CommonJS (.cjs)
- Storybook unified config with HMR disabled for nginx proxy
- Added dss-ui package with Figma-synced components and stories
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Complete implementation of enterprise design system validation:
Phase 1 - @dss/rules npm package:
- CLI with validate and init commands
- 16 rules across 5 categories (colors, spacing, typography, components, a11y)
- dss-ignore support (inline and next-line)
- Break-glass [dss-skip] for emergency merges
- CI workflow templates (Gitea, GitHub, GitLab)
Phase 2 - Metrics dashboard:
- FastAPI metrics API with SQLite storage
- Portfolio-wide metrics aggregation
- Project drill-down with file:line:column violations
- Trend charts and history tracking
Phase 3 - Local analysis cache:
- LocalAnalysisCache for offline-capable validation
- Mode detection (LOCAL/REMOTE/CI)
- Stale cache warnings with recommendations
Phase 4 - Project onboarding:
- dss-init command for project setup
- Creates ds.config.json, .dss/ folder structure
- Updates .gitignore and package.json scripts
- Optional CI workflow setup
Architecture decisions:
- No commit-back: CI uploads to dashboard, not git
- Three-tier: Dashboard (read-only) → CI (authoritative) → Local (advisory)
- Pull-based rules via npm for version control
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Update .mcp.json PYTHONPATH to use project root instead of dss-mvp1
- Fix hardcoded path in dss-mcp-server.py to use relative path
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit introduces a new project analysis engine to the DSS.
Key features include:
- A new analysis module in `dss-mvp1/dss/analyze` that can parse React projects and generate a dependency graph.
- A command-line interface (`dss-mvp1/dss-cli.py`) to run the analysis, designed for use in CI/CD pipelines.
- A new `dss_project_export_context` tool in the Claude MCP server to allow AI agents to access the analysis results.
- A `.gitlab-ci.yml` file to automate the analysis on every push, ensuring the project context is always up-to-date.
- Tests for the new analysis functionality.
This new architecture enables DSS to have a deep, version-controlled understanding of a project's structure, which can be used to power more intelligent agents and provide better developer guidance. The analysis is no longer automatically triggered on `init`, but is designed to be run manually or by a CI/CD pipeline.
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
