# perplexity-research-workflows

> Build comprehensive research workflows with Perplexity

## Directory Structure

```
perplexity-research-workflows/
├── SKILL.md                    # Main skill definition with YAML frontmatter
└── examples/                   # Optional examples directory
    ├── research_agent.py       # Automated research agent
    ├── competitive_analysis.py # Competitive research workflow
    ├── literature_review.py    # Academic literature review
    └── research_templates.yaml # Research workflow templates
```

## File Descriptions

| File | Type | Purpose |
|------|------|---------|
| `SKILL.md` | Markdown | Skill definition with research patterns |
| `research_agent.py` | Python | Automated research agent implementation |
| `competitive_analysis.py` | Python | Competitive analysis workflow |
| `literature_review.py` | Python | Academic literature review automation |
| `research_templates.yaml` | YAML | Reusable research workflow templates |

## Summary

**Category:** advanced
**Target Audience:** Researcher or analyst
**Trigger Phrases:** `perplexity research`, `deep research`, `research workflow`, `perplexity investigation`

### What This Skill Does

This skill teaches comprehensive research workflows:

- Multi-phase research strategies
- Competitive analysis patterns
- Literature review automation
- Source triangulation and validation
- Research report generation

### Technical Success Criteria

- Systematic research with comprehensive coverage
- Sources properly triangulated and validated
- Reports generated automatically

### Business Success Criteria

- Efficient research with actionable insights
- Reduced manual research time
- High-quality research outputs

## Related Skills

- `perplexity-multi-query` - Query strategies for research
- `perplexity-knowledge-synthesis` - Synthesize research findings
- `perplexity-citation-handling` - Proper source attribution
