# Research Performance

> Use when the user wants a performance-matrix view of existing content to identify stars, underperformers, overperformers, and declining pages.

- Skill: `pa4uslf/research-performance` (Agent Skill)
- Install (CLI): `npx skillmds@latest add pa4uslf/research-performance`
- Raw SKILL.md: https://api.skillmd.com/api/skills/pa4uslf/research-performance/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: pa4uslf (https://skillmd.com/u/pa4uslf)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/pa4uslf/research-performance

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# Research Performance

Run the content performance matrix analysis.

## Command

```bash
.venv/bin/python research_performance_matrix.py
```

## Output

The script writes a report to `research/performance-matrix-<date>.md`.

## Best Follow-Up

- Underperformers -> optimize titles and meta
- Declining pages -> analyze and rewrite
- Stars -> maintain and expand