Inject real-time somatic sensor state vectors into AI task context.
npx skills add https://github.com/brian-wijaya/dotfiles --skill somatic-aware
Please help me install this Agent Skill. Skill: somatic-aware Source: https://github.com/brian-wijaya/dotfiles/tree/main/.claude/skills/somatic-aware Command: npx skills add https://github.com/brian-wijaya/dotfiles --skill somatic-aware
This skill ensures AI systems are aware of your real-time bodily and interaction state by injecting a live sensor state vector into the task context. This helps reduce ambiguity and improves responsiveness when understanding user state matters.
Inject the current somatic state vector into the AI context at the start of a complex task to calibrate responses.
High-intent search queries and answers about installing and using this skill.
You inject real-time sensor data into AI context by exposing a fusion state vector containing somatic metrics like pointer velocity and typing data, allowing the AI to calibrate its pace and tone based on your live interaction state.
A somatic state vector is a data structure representing real-time bodily and interaction metrics like dwell and pointer acceleration. You need it for complex tasks or debugging sessions where reducing ambiguity and understanding user engagement matters.
Yes, you can use typing metrics and pointer acceleration to adjust AI response pace by applying calibration rules that interpret these dimensions from the fusion state vector to modulate tone and responsiveness dynamically.
AI context calibration does not list any specific sensor hardware dependencies in its components, relying instead on exposing a software state vector that interprets existing interaction metrics like pointer velocity and dwell time.
You should use somatic awareness for debugging sessions because it feeds live user engagement and certainty metrics into the AI context, directly modulating pace and tone to reduce ambiguity and improve dynamic assistance responsiveness.
A limitation of using somatic sensor data to modulate AI tone is that the skill's basic implementation depth requires pre-established calibration rules to accurately interpret state vector dimensions like dwell and typing metrics for pace adjustment.
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