Chris
33cab10cef
Syncs project memory, custom agents, and commands across machines. Excludes secrets (settings.json), session state, and runtime files. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
21 lines
1.2 KiB
Markdown
21 lines
1.2 KiB
Markdown
---
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name: Teach Mode + Photo-Tune Calibration Plan
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description: Plan for teach mode calibration wizard in web UI and Claude Code photo-assisted tuning skill for the split-flap display
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type: project
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---
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Plan to add two calibration features to the split-flap display.
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**Why:** Calibrating 45 modules across 64 characters is tedious. Teach mode simplifies the web UI flow, and photo-tune lets Claude Code do the visual inspection automatically.
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**How to apply:** When implementing, the full plan is at `.claude/plans/cached-beaming-twilight.md`. Three files involved:
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- `SplitFlap-RPI-FRONTEND/frontend_code_apr24/templates/index.html` — teach mode modal (HTML/CSS/JS, ~250 lines)
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- `SplitFlap-RPI-FRONTEND/frontend_code_apr24/app.py` — `GET /tuning_status` convenience endpoint (~25 lines)
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- `.claude/commands/photo-tune.md` — new Claude Code slash command for photo-assisted tuning
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**Key decisions:**
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- Teach mode is a separate modal from existing auto-tune (don't modify auto-tune)
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- Reuses existing `/auto_tune` API endpoints (home, goto_char, adjust, get_positions)
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- Photo-tune skill accepts Pi hostname as parameter, documents the iterative photo→analyze→nudge workflow
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- No new Python dependencies, no firmware changes
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