gaggiuino-local

Solid

Gaggiuino skill for machine control, espresso shot analysis through profile intent, dial-in guidance, shot graph rendering, and synchronized overlay videos. Use when checking machine status, analyzing latest or historical shots, switching profiles, reading settings, or generating shot graphs and overlay videos.

Web & Frontend 3,964 stars 1088 forks Updated 2 months ago MIT

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Skill Content

# Gaggiuino Local Gaggiuino Local is a machine-connected skill for espresso machines running the Gaggiuino mod. It supports machine control, espresso shot analysis through profile intent, troubleshooting and dial-in guidance, profile management, settings work, shot graph rendering, and synchronized overlay videos for extraction footage. Its core question is not simply **“is this cup good?”** It first asks whether the shot became what its profile intended it to be. In other words, it asks: > **Did this shot become the kind of coffee it was trying to be?** In Chinese: > **这杯咖啡有没成为它本来想成为的样子?** Only after that does the analysis move into troubleshooting or dial-in guidance. All machine interaction goes through `scripts/gaggiuino.sh`. --- ## What this skill is for Use this skill when the task involves one or more of these: - checking machine status, readiness, temperature, water level, or the active profile / 当前状态 - analyzing the latest shot / 萃取 or a historical shot (**preferred; strongest evidence**) - rendering static or animated shot graphs, or generating synchronized overlay videos / 萃取可视化与视频叠加 - troubleshooting or dialing in espresso taste and shot behavior - recommending a profile / 曲线 or profile family - listing or switching profiles / 曲线 on the real machine - helping identify what family a named profile / 曲线 belongs to - reading or updating Gaggiuino settings - interpreting shot-graph screenshots or machine screen photos (**fallback; lower-confidence evidence**...

Details

Author
openclaw
Repository
openclaw/skills
Created
5 months ago
Last Updated
2 months ago
Language
Python
License
MIT

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