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>
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1.2 KiB
name, description, type
| name | description | type |
|---|---|---|
| Teach Mode + Photo-Tune Calibration Plan | Plan for teach mode calibration wizard in web UI and Claude Code photo-assisted tuning skill for the split-flap display | project |
Plan to add two calibration features to the split-flap display.
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.
How to apply: When implementing, the full plan is at .claude/plans/cached-beaming-twilight.md. Three files involved:
SplitFlap-RPI-FRONTEND/frontend_code_apr24/templates/index.html— teach mode modal (HTML/CSS/JS, ~250 lines)SplitFlap-RPI-FRONTEND/frontend_code_apr24/app.py—GET /tuning_statusconvenience endpoint (~25 lines).claude/commands/photo-tune.md— new Claude Code slash command for photo-assisted tuning
Key decisions:
- Teach mode is a separate modal from existing auto-tune (don't modify auto-tune)
- Reuses existing
/auto_tuneAPI endpoints (home, goto_char, adjust, get_positions) - Photo-tune skill accepts Pi hostname as parameter, documents the iterative photo→analyze→nudge workflow
- No new Python dependencies, no firmware changes