- name
- lead-gen
- description
- Lead generation, prospecting, and qualification for B2B sales. Use when asked to find leads, build prospect lists, research target companies, qualify leads against an ICP, enrich contact data, find decision-maker email formats, scrape company info, score leads, or build a sales pipeline from scratch. Triggers on phrases like "find leads", "build a prospect list", "who should I target", "lead generation", "find decision makers", "ICP research", "sales prospecting", "qualify leads", "enrich contacts", "find emails", "pipeline building".
Lead Generation Skill
Build targeted, qualified prospect lists and enrich them with decision-maker data. Output is pipeline-ready — not raw noise.
Workflow
1. Define the ICP (Ideal Customer Profile)
Ask if not provided:
- Industry/vertical: (e.g. SaaS, e-commerce, professional services)
- Company size: (employees or revenue range)
- Geography: (country, region, or global)
- Job titles to target: (e.g. Head of Marketing, VP Sales, Founder)
- Pain point or trigger event: (e.g. recently funded, hiring for X role, using competitor Y)
2. Build the Target Company List
Use web_search with precision queries. See references/search-playbook.md for query templates.
Effective discovery sources:
- LinkedIn Sales Navigator signals (via search queries)
- G2/Capterra category pages (companies using specific software)
- Crunchbase (funded companies by stage, industry, date)
- Job boards (companies hiring = growing = buying)
- Industry directories and association member lists
- Subreddits and communities where ICP hangs out
3. Find Decision Makers
For each target company:
- Search
"[company] [job title] LinkedIn"to identify names - Use
web_searchto find personal/professional profiles - Cross-reference company About/Team pages
4. Enrich Contacts
For each contact, gather:
- Full name, title, company
- LinkedIn URL
- Email format (guess from pattern: firstname@co.com, f.lastname@co.com)
- Company size, industry, location
- Recent trigger events (new role, funding, product launch)
Run scripts/enrich_leads.py to format and score the list.
5. Score & Prioritize
Score each lead 1–10 using the rubric in references/scoring-rubric.md:
- ICP fit (industry, size, title match)
- Buying signals (trigger events, tech stack, intent)
- Reachability (email confidence, LinkedIn activity)
- Timing (recently funded, new hire, Q1 budget cycle)
6. Output Format
Deliver as a CSV-ready table + summary:
| Name | Title | Company | Industry | Size | Email (est.) | Score | Notes |
|---|
Include:
- Total leads found
- Score distribution
- Top 10 "strike now" leads highlighted
- Suggested outreach angle per segment
See references/search-playbook.md for advanced search query patterns. See references/email-formats.md for common company email format patterns.