Deep-dive research on a potential client or partner before a meeting — company profile, financial health, competitors, talking points, and objection handlers.
Scanned 9/5/2026
Install to Claude Code
Skills Directorynpx -y skills add Alessandro114/scala-mcp-server --skill prospect-research --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Prospect Research?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/alessandro114-prospect-research)More formats (shields.io, HTML) on the badges page.
---
description: Deep-dive research on a potential client or partner before a meeting — company profile, financial health, competitors, talking points, and objection handlers.
---
# Prospect Research
Research a potential client/partner using SCALA Score data.
## Input
The user provides: company name or VAT number, country, context (meeting/cold outreach/proposal).
Use $ARGUMENTS if provided.
## Steps
1. Call `search_companies` to find the company
2. Call `lookup_company` for full profile
3. Call `company_report` type=pro for financial analysis
4. Call `search_companies` with same NACE code for competitor context
## Output Format
One-page briefing:
- Company snapshot (revenue, employees, health, founded)
- Financial trajectory (growing/stable/declining)
- Industry position vs top 5 competitors
- 3 talking points tailored to their situation
- 2 potential objections and handlers
- Recommended next step
For cold outreach context, also draft a short personalized message.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
