somatic-aware

Inject real-time somatic sensor state vectors into AI task context.

Updated Aug 27, 2026

Search Tags:#calibration #sensor #user-state #AI-context #state-vector #somatic

Ready to run

npx skills add https://github.com/brian-wijaya/dotfiles --skill somatic-aware

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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.

Core Features & Use Cases

Expose the current fusion state vector to the AI context for informed decision making.
Interpret dimensions such as ptr_velocity, ptr_acceleration, dwell, and typing metrics to tailor responses.
Apply calibration rules to adjust pace and tone based on user engagement and certainty.
Use cases include debugging sessions, complex task planning, and dynamic user assistance.

Quick Start

Inject the current somatic state vector into the AI context at the start of a complex task to calibrate responses.

Frequently Asked Questions about somatic-aware

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I inject real-time sensor data into AI context for better task understanding?▼

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.

What is a somatic state vector and when do I need it for AI tasks?▼

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.

Can I use typing metrics and pointer acceleration to adjust AI response pace?▼

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.

Does AI context calibration require any specific sensor hardware dependencies?▼

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.

Why should I use somatic awareness for complex debugging sessions?▼

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.

What are the limitations of using somatic sensor data to modulate AI tone?▼

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.