sensor-fusion

SKILL.md

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

Patterns for multi-sensor data fusion including Kalman filters (KF, EKF, UKF), complementary filters, particle filters, and factor graph optimization. Covers state estimation, covariance tuning, outlier rejection, and real-time implementation for robotics and autonomous systems. Use when ", " mentioned. Source: omer-metin/skills-for-antigravity.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/omer-metin/skills-for-antigravity --skill sensor-fusion Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

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