# Computer Diagnosis

> Comprehensive computer diagnosis and troubleshooting. Use this skill when a user reports issues with their computer (e.g., "my computer is slow", "it's freezing", "loud fan noise", "no disk space") to analyze system metrics (CPU, RAM, Disk, Network) across macOS, Windows, and Linux, and generate a detailed report with actionable recommendations.

- Skill: `fritzprix/computer-diagnosis-2` (Agent Skill, multi-file: 6 files)
- Install (CLI): `npx skillmds@latest add fritzprix/computer-diagnosis-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/fritzprix/computer-diagnosis-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: fritzprix (https://skillmd.com/u/fritzprix)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/fritzprix/computer-diagnosis-2

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# Computer Diagnosis Skill

This skill allows Claude to act as a technical support assistant. It gathers system information using Python's `psutil` library (making it cross-platform), analyzes the metrics for common issues, and provides a structured report.

## Path conventions

Paths in this skill are relative to the directory containing this `SKILL.md`, not to the workspace root or the shell's current `./`.

- Scripts in this skill use paths like `scripts/...`
- Reference material in this skill uses paths like `references/...` and `assets/...`
- When a command below says `python scripts/...`, resolve that script path against the skill's absolute Base Directory
- In command examples below, replace `<skill-base-dir>` with the skill's actual absolute Base Directory
- Files created in the examples are workspace files unless the instruction explicitly says otherwise

## Workflow

1. **Information Gathering**:
   When a user reports an issue, execute the data collection script to snapshot the current system state.
   ```bash
   python "<skill-base-dir>/scripts/collect_info.py" > sys_info.json
   ```

2. **Data Analysis**:
   Use the analysis script to parse the collected JSON and identify critical issues (high CPU/Memory, full disks).
   ```bash
   python "<skill-base-dir>/scripts/analyze_info.py" sys_info.json > analysis_result.json
   ```

3. **Report Generation**:
   Read both `sys_info.json` and `analysis_result.json`. Present the findings to the user using the template found in `assets/report_template.md`.

## Reference Materials

- **Symptoms Guide**: See `references/symptoms.md` to map user descriptions to specific metrics.

## Notes
- The scripts rely on `psutil`. If it's missing, you may need to install it (`pip install psutil`).
- Ensure you have permission to read system states. Some disk partitions or network interfaces might throw `PermissionError`, which the script handles by skipping them.
- Always provide actionable recommendations alongside the raw data. Users want to know *how* to fix the problem.