feat: Add playlist generator with workout AI patterns

[marcodejongh]

Adds a playlist generator feature to the playlist view that allows users
to generate workout-specific playlists based on their training goals:

• Volume: High-volume workout at a consistent grade
• Pyramid: Work up to a peak grade and back down
• Ladder: Progressive grade increase through steps
• Grade Focus: Single grade focused workout

Features:

• Visual grade progression chart preview
• Configurable options (warm-up, target grade, climb counts)
• Quality filters (min ascents, min rating, climb bias)
• Automatic climb selection from search results
• Progress indicator during generation

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Project	Deployment	Review	Updated (UTC)
boardsesh	Building	Preview, Comment	Jan 2, 2026 1:13pm

[claude]

Claude Review

✅ Ready to merge - Minor issues noted below, but nothing blocking.

Issues

1. Hardcoded colors in CSS - Multiple CSS files use hardcoded hex colors instead of design tokens from theme-config.ts per CLAUDE.md guidelines:

   • generator-options-form.module.css: #E5E7EB, #111827, #6B7280, #9CA3AF, #F3F4F6, #06B6D4, #0891B2
   • playlist-generator-drawer.module.css: #FFFFFF, #E5E7EB, #F9FAFB, #6B7280, #06B6D4
   • workout-type-selector.module.css: #E5E7EB, #F9FAFB, #F3F4F6, #9CA3AF
   • grade-progression-chart.module.css: #6B7280, #F9FAFB, #D1D5DB, #9CA3AF

2. Unused imports - playlist-generator-drawer.tsx:4: Space and Alert are imported from antd but never used. Title is imported but only Text is used.

3. Unused variables in generation-utils.ts:60-61: minGrade and maxGrade are computed but never used in generateVolumePlan.

4. Unused export - types.ts:90-95: EFFORT_LEVELS constant is defined and exported but never used in the codebase.

5. Missing tests - No test files for the new playlist-generator component. The generation algorithms in generation-utils.ts would benefit from unit tests for edge cases (e.g., when target grade is at min/max bounds, when warm-up would go below minimum grade).

6. Error handling gap - playlist-generator-drawer.tsx:132-136: executeGraphQL calls in searchClimbsForGrade don't have try/catch, so a network error would crash the generation rather than being handled gracefully.