feat: Ferrum AI — rule-based effect generation, style analysis - #12
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…ates Implements the Ferrum AI scaffolding (Research → foundation): Effect Generator (effect-generator.ts): - Rule-based prompt-to-effect matching (60+ keywords) - Weighted scoring: category (0.4) + CSS overlap (0.35) + name (0.25) - Suffix stripping for verb forms (bouncing→bounce) - Returns top 10 suggestions from 542 effects Style Analyzer (style-analyzer.ts): - WCAG 2.1 contrast checker (relative luminance formula) - Performance anti-pattern detection (blur > 50px, backdrop-filter, etc.) - Actionable improvement suggestions Prompt Templates (prompt-templates.ts): - 6 built-in templates (hero, dashboard, nav, form, loading, transitions) - Template filling and task-to-template matching Description Generator (description-generator.ts): - 20 CSS feature detectors for human-readable descriptions - Markdown documentation generation - CSS→category classification (19 weighted rules) 74 unit tests covering all modules.
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Summary
Implements the Ferrum AI foundation (Research → functional core). Fully rule-based — zero API calls, no external dependencies.
Modules
effect-generatorstyle-analyzerprompt-templatesdescription-generatorKey Design
Tests
Files Added
src/lib/ferrum-ai/— 6 source files__tests__/ferrum-ai.test.ts— 74 testsCloses roadmap item: Ferrum AI Research → Alpha ✅