bug-carpet-analysis

Analyze robot vacuum carpet bugs from log files and sensor data.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/min-zou/obsidian-doc --skill bug-carpet-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bug-carpet-analysis
Source: https://github.com/min-zou/obsidian-doc/tree/main/format/areas/system/agent-skills/agents/bug-carpet-analysis
Command: npx skills add https://github.com/min-zou/obsidian-doc --skill bug-carpet-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill unit assists in diagnosing carpet-related bugs in robot vacuum systems, providing a comprehensive analysis framework for troubleshooting carpet detection and strategy issues.

Core Features & Use Cases

  • Carpet Bug Analysis: Analyze various carpet-related issues such as false carpet detection, incorrect carpet strategy triggering, misidentified carpet areas during cleaning, and unexpected carpet sweep mode activation.
  • Data Extraction & Analysis: Extracts sensor logs, sonar triggers, carpet zone management, and carpet strategy state machine data for in-depth analysis.
  • Use Case: Utilize this Skill to investigate a robot vacuum's carpet avoidance system after identifying an issue, such as incorrect carpet area recognition.

Quick Start

Use the bug-carpet-analysis skill to analyze carpet-related bugs in the robot vacuum system.

Frequently Asked Questions about bug-carpet-analysis

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

FAQPage Schema
How do I troubleshoot robot vacuum carpet detection bugs using sensor logs?▼

Troubleshoot robot vacuum carpet detection bugs by parsing log files for sensor data and carpet strategy states. This process identifies anomalies and correlates the extracted data directly to the reported bug symptoms.

Why does my robot vacuum trigger the carpet strategy incorrectly during cleaning?▼

Incorrect carpet strategy triggering occurs due to false carpet detection or misidentified carpet areas. Analyzing sonar triggers and carpet zone management data from the logs identifies the specific anomaly causing the issue.

What is the best way to analyze false carpet recognition issues in robot vacuums?▼

The best way to analyze false carpet recognition is by extracting sensor logs and carpet strategy state machine data. Correlating these specific data points reveals anomalies within the detection logic.

Can I use log files to investigate unexpected carpet sweep mode activation?▼

Yes, you can use log files to investigate unexpected carpet sweep mode activation. The analysis framework parses the logs for carpet zone management and sensor states to pinpoint the exact trigger.

How do I identify anomalies in robot vacuum carpet strategy state machines?▼

Identify anomalies in carpet strategy state machines by parsing the system log files. The analysis correlates sensor and sonar trigger data with the strategy states to locate the exact source of the bug.