research-company
# Company Research
Generate comprehensive Account Research Reports as professionally styled PDFs from a company URL.
## Workflow
1. **Research** the company (web fetch + searches)
2. **Build** JSON data structure
3. **Generate** PDF via `scripts/generate_report.py`
4. **Deliver** PDF to user
## Phase 1: Research (Parallel)
Execute these searches concurrently to minimize context usage:
```
WebFetch: [company URL]
WebSearch: "[company name] funding news 2024"
WebSearch: "[company name] competitors market"
WebSearch: "[company name] CEO founder leadership"
```
Extract from website: company name, industry, HQ, founded, leadership, products/services, pricing model, target customers, case studies, testimonials, recent news.
## Phase 2: Build Data Structure
Create JSON matching this schema (see `references/data-schema.md` for full spec):
```json
{
"company_name": "...",
"source_url": "...",
"report_date": "January 20, 2026",
"executive_summary": "3-5 sentences...",
"profile": { "name": "...", "industry": "...", ... },
"products": { "offerings": [...], "differentiators": [...] },
"target_market": { "segments": "...", "verticals": [...] },
"use_cases": [{ "title": "...", "description": "..." }],
"competitors": [{ "name": "...", "strengths": "...", "differentiation": "..." }],
"industry": { "trends": [...], "opportunities": [...], "challenges": [...] },
"developments": [{ "date": "...", "title": "...", "description": "..." }],
"lead_gen": { "keywords": {...}, "outreach_angles": [...] },
"info_gaps": ["..."]
}
```
## Phase 3: Generate PDF
```bash
# Install if needed
pip install reportlab
# Save JSON to temp file
cat > /tmp/research_data.json << 'EOF'
{...your JSON data...}
EOF
# Generate PDF
python3 scripts/generate_report.py /tmp/research_data.json /path/to/output/report.pdf
```
## Phase 4: Deliver
Save PDF to workspace folder and provide download link:
```
[Download Company Research Report](computer:///sessions/.../report.pdf)
```
## Quality Standards
- **Accuracy**: Base claims on observable evidence; cite sources
- **Specificity**: Include product names, metrics, customer examples
- **Completeness**: Note gaps as "Not publicly available"
- **No fabrication**: Never invent information
## Resources
- `scripts/generate_report.py` - PDF generator (uses reportlab)
- `references/data-schema.md` - Full JSON schema with examples
标签
skill
ai
