sense-user

Assess user cognitive readiness from a 14-dimension state vector and timing metrics.

Updated Aug 27, 2026

Search Tags:#calibration #cognition #interaction-design #user-state #ai-guidance #somatic-sensors #sense

Ready to run

npx skills add https://github.com/brian-wijaya/dotfiles --skill sense-user

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sense-user
Source: https://github.com/brian-wijaya/dotfiles/tree/main/.claude/skills/sense-user
Command: npx skills add https://github.com/brian-wijaya/dotfiles --skill sense-user

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps AI assess a user's cognitive readiness before taking significant actions.

Core Features & Use Cases

Sense a 14-dimension state vector capturing mouse activity, typing rhythm, dwell time, and engagement indicators to calibrate responses.
Adapt guidance and timing based on real-time user state during complex operations, large refactors, or risky tasks.
Use case: before deploying a major change, query the sensors to decide whether to proceed, pause, or seek confirmation from the user.

Quick Start

Before initiating a major action, retrieve the 14-dimension state vector with mcp__somatic-fusion__get_state_vector and tailor your guidance based on the user's detected engagement.

Frequently Asked Questions about sense-user

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

FAQPage Schema

How do I assess user cognitive readiness before executing a major code refactor?▼

Assess user cognitive readiness by retrieving a 14-dimension state vector capturing mouse activity, typing rhythm, and engagement indicators. The AI queries somatic sensors to gauge user state before high-stakes tasks, calibrating its approach based on detected engagement levels.

What is AI guidance calibration based on user state and interaction design?▼

AI guidance calibration adapts response timing and complexity based on real-time user state vectors. It uses somatic sensors tracking mouse dynamics, typing rhythm, and dwell time to determine whether to proceed, pause, or seek confirmation during complex operations.

How can I detect user engagement levels during high-stakes operations?▼

Detect user engagement levels by analyzing somatic input timing and pointer dynamics. The system collects a 14-dimension state vector measuring mouse activity and typing rhythm, enabling the AI to adjust its guidance strategy for risky tasks.

Do I need somatic sensors to gauge user state before significant actions?▼

Yes, gauging user state requires somatic sensors. The skill relies on somatic-fusion, somatic-input-timing, and somatic-pointer modules to produce the 14-dimension state vector and timing metrics necessary for calibrated AI guidance.

When should I use user state assessment for AI-guided interactions?▼

Use user state assessment before major actions, large refactors, or risky tasks where user engagement directly influences the appropriate approach. It is essential for complex operations requiring calibrated guidance based on real-time cognitive readiness.

What metrics are included in the 14-dimension user state vector?▼

The 14-dimension user state vector captures mouse activity, typing rhythm, dwell time, and engagement indicators. These metrics combine with input timing data to produce a comprehensive assessment of user cognitive readiness for calibrated AI guidance.