- Layout: mobile hamburger + drawer nav (backdrop button + sibling nav),
desktop sidebar hidden on small screens, p-4 md:p-8 main padding
- Products: card list view on mobile, flex-wrap filters
- Lab results: card list view on mobile
- ProductForm: responsive grids (grid-cols-1 sm:grid-cols-2), skin
profile checkboxes 2→3 cols, active ingredient row restructured
(name+✕ in flex row, percent/strength/irritation in 3-col grid),
section headers stack on mobile
- Skin snapshots: date+icons on one row, badges on separate row below
- Product [id] header: back link stacked above title, redundant badge removed
- Routines header: flex-col on mobile, sm:flex-row
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
priorities was present in the model, API, and LLM prompt but never
surfaced in the frontend — add it to create/edit forms, read view,
AI photo pre-fill, and page.server.ts actions.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Install @inlang/paraglide-js v2 with Vite plugin and paraglideMiddleware hook
- Add messages/pl.json and messages/en.json with ~400 translation keys
- Create project.inlang/settings.json (PL as base locale)
- Add LanguageSwitcher component (cookie-based, no URL prefix needed)
- Replace all hardcoded strings across 14 pages/components with m.*() calls
- ProductForm uses derived label maps for all enum types (category, texture, etc.)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Remove the derived `trend` field (better computed from history by the MCP
agent) and add `texture: smooth|rough|flaky|bumpy` which LLM can reliably
assess from photos. Updates model, API, system prompt, tests, and frontend.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add POST /skincare/analyze-photos endpoint that accepts 1–3 skin
photos, sends them to Gemini vision, and returns a structured
SkinPhotoAnalysisResponse for pre-filling the snapshot form.
Extract shared Gemini client setup into innercontext/llm.py
(get_gemini_client) so both products and skincare use a single
default model (gemini-flash-latest) and API key check.
Frontend: AI photo card on /skin page with file picker, previews,
and auto-fill of all form fields from the analysis result.
New fields (skin_type, sebum_tzone, sebum_cheeks) added to form
and server action.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
