sensor-fusion
Combining IoT sensor data using algorithms like Kalman filters for improved accuracy and reliability
npx skills add majiayu000/claude-skill-registry --skill sensor-fusion-alphaonedev-openclaw-graph --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# sensor-fusion ## Purpose This skill enables the fusion of IoT sensor data using algorithms like Kalman filters to enhance accuracy and reliability in real-time applications. It processes inputs from multiple sensors, applies fusion techniques, and outputs refined data streams for downstream use. ## When to Use Use this skill when dealing with noisy or inconsistent sensor data, such as in autonomous vehicles for obstacle detection, smart home systems for environmental monitoring, or industrial IoT for predictive maintenance. Apply it in scenarios requiring real-time data smoothing, like merging GPS and accelerometer data, or when sensor redundancy improves decision-making. ## Key Capabilities - Implements Kalman and Extended Kalman filters for state estimation and noise reduction. - Supports data fusion from up to 10 sensor types (e.g., temperature, humidity, motion) via JSON input streams. - Handles real-time processing with configurable update rates (e.g., 10-100 Hz). - Provides output in standardized formats like CSV or JSON for easy integration. - Includes adaptive thresholding to detect and ignore faulty sensor readings. - Offers visualization hooks for debugging fused data o
- Purpose
- When to Use
- Key Capabilities
- Usage Patterns
- Common Commands/API
- Integration Notes
- Error Handling
- Graph Relationships
claw sensor-fusion fuse --sensors temp,humidity --algorithm kalman --config config.json
What does the sensor-fusion skill do?
Combining IoT sensor data using algorithms like Kalman filters for improved accuracy and reliability
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill sensor-fusion-alphaonedev-openclaw-graph --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.