<< All versions

Skill v1.0.0

currentLLM-judged scan90/100
kirkluokun/awesome-a-stock-openclawskills/deep
──Details
PublishedOctober 20, 2026 at 03:26 PM
Content Hashsha256:b82ba54a26b5119e...
Git SHA538d7141b4b5
──Files
Files (1 file, 2.7 KB)
SKILL.md2.7 KBactive
SKILL.md · 86 lines · 2.7 KB

version: "1.0.0" name: research-company description: B2B company research producing professional PDF reports. Use when asked to research a company, analyze a business, create an account profile, or generate market intelligence from a company URL. Outputs a beautifully formatted, downloadable PDF report.


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
All versions