Read smoothed capacitive touch sensor values from specified GPIO channels.
npx skills add https://github.com/espressif/esp-claw --skill read-touch
Please help me install this Agent Skill. Skill: read_touch Source: https://github.com/espressif/esp-claw/tree/main/components/lua_modules/lua_driver_touch/skills/read_touch Command: npx skills add https://github.com/espressif/esp-claw --skill read-touch
It turns raw capacitive touch sensor readings into stable, smoothed values you can reliably use for touch-driven device behavior.
smooth data from one or more touch-capable GPIO channels for stable detection.Ask the AI to read smoothed touch values using specific touch-capable GPIOs with a chosen sample count and interval.
High-intent search queries and answers about installing and using this skill.
To get smoothed capacitive touch sensor readings, run the read_touch.lua script on user-specified GPIO channels. It applies sampling intervals to return stable smooth data for reliable touch detection without jitter.
Yes, you can sample multiple touch electrodes simultaneously. The script supports multi-GPIO sampling, allowing you to read smoothed capacitive touch values from several channels side-by-side in a single run.
You configure touch sensor data sampling by providing explicit gpios plus optional samples and interval_ms parameters. These arguments define the repetition count and timing for reading smoothed capacitive values.
If an error occurs while reading capacitive touch values, the script reports the error directly to the user. It does not retry the operation or silently change GPIO assignments, ensuring deterministic error reporting.
Yes, you must specify touch-capable GPIOs for IoT edge interactions. The script maps your provided GPIOs to touch channels to sample electrodes and return smoothed values for triggering device logic.
Raw capacitive touch sensor values are often unstable for device triggers due to jitter. This script processes raw readings into stable smoothed values over repeated intervals to reliably handle toggles or gestures.
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