When you're launching into a new vertical and need 20 accounts to work this quarter, build a ranked target list from your product plus ICP filters. — Claude Skill
Rank target accounts by fit score with decision-maker per row.
- Input: product description plus ICP filters (industry, size, geo, technologies they use, buying signals)
- Per-account fit score 1 to 10 with reasoning grounded in their business
- Decision-maker by role plus LinkedIn URL when available
- Conversation starters tied to recent company signals: job posts, leadership change, funding, news
- Output: ranked markdown report and CSV ready for Apollo, Outreach, or Salesforce
Für wen
Turn a product description and ICP filters into a ranked target-account list with decision-maker and 'why now' opener per row
Skills für diese Rolle ansehenWalk into every discovery call with a fit-scored briefing your SDR pulled the night before
Skills für diese Rolle ansehenHand your team a quarter's worth of ICP-matched accounts in one prompt instead of an 8-hour Apollo session
Skills für diese Rolle ansehenFunktionen
Your CEO just announced a new product line aimed at fintech. You have zero accounts in pipe. Drop the product description plus 'Series B+ fintechs with 50-300 engineers' and get back 20 fit-scored accounts with the VP Eng and 'why reach out' line per row.
End-of-quarter exercise: your AE handed you a new ICP definition (manufacturing companies, 200-1000 staff, west coast, on legacy Oracle). Drop the criteria, get a ranked list of 30 that match, sorted by recent buying signals (job posts, leadership change, funding).
Marketing announces UK launch in 6 weeks. You need 15 anchor accounts to seed the territory. Drop the product brief plus UK plus your target ICP and get back UK-headquartered accounts with decision-maker name, LinkedIn, and a 'why now' angle for each.
Your AE has a discovery call with Acme Co tomorrow morning. Drop the company name and get back the same fit-scored card: who's the economic buyer, recent signals, a 4-line opener tied to specific tools they use (Salesforce, HubSpot, Cursor) and last quarter's announcement.
So funktioniert's
Describe your product or paste a product brief. If you're in your product's codebase, the skill reads it directly.
Add ICP filters: industry, size, geo, technologies, growth-stage signals you care about.
The skill searches for companies that match, checking for hiring signals, recent news, funding rounds, and technology hits.
Each account is scored 1 to 10 against your ICP, with the reasoning surfaced and a decision-maker role identified.
Output drops as a ranked markdown report plus CSV ready for Apollo, Outreach, or Salesforce. Each row has a 'why now' line tied to specific recent signals.
Beispiel
Product: data-masking tool for AI coding assistants (Copilot, Cursor). ICP: fintech or healthtech, Series B and above, 50-500 engineers, evidence of AI-coding-assistant usage in GitHub or job posts.
20 fit-scored accounts. 6 strong fits (8-10/10), 9 partial fits (5-7), 5 weak fits. Sectors: 14 fintech, 6 healthtech. Geos: 11 US, 5 EU, 4 APAC.
Series C fintech, 280 engineers, 4 active Cursor licenses (LinkedIn job post 2 weeks ago lists 'Cursor power-user' as desired skill). Just shipped a fraud product. Decision-maker: Head of Engineering. Why now: recent PCI compliance audit announcement plus active AI-coding adoption.
'Saw your Cursor adoption and the PCI audit announcement: we built data-masking for the exact gap between those two.' Compares to their currently public competitor on the dimension they care about.
Open results.csv, paste top 6 into Apollo as a new list. Use the 'why now' lines as the first-touch opener. Schedule a follow-up enrichment run in 2 weeks for the partial fits to flag any that moved to 8 and above after new signals.
Verbesserte Metriken
Funktioniert mit
Funding-round and growth-stage signal lookup
Alternative cold-outbound destination for the ranked account CSV
Import the CSV as new lead or account records with the fit score as a custom field
Paste the ranked CSV as a new list and the 'why now' lines as first-touch openers
Source for decision-maker LinkedIn URLs and the activity signals (job posts, leadership change, recent posts) that feed the fit score
Möchten Sie Lead Research Assistant nutzen?
Wählen Sie, wie Sie starten möchten.
Installieren und führen Sie diesen Skill lokal auf Ihrem Computer aus.
Öffnen Sie ein Terminal auf Ihrem Computer und fügen Sie diesen Befehl ein:
Damit wird der Skill mit allen Dateien auf Ihren Computer heruntergeladen:
Hängen Sie -g an, damit es in allen Ihren Projekten verfügbar ist.
Starten Sie Claude Code und geben Sie den Befehl ein:
Lead Research Assistant
This skill helps you identify and qualify potential leads for your business by analyzing your product/service, understanding your ideal customer profile, and providing actionable outreach strategies.
When to Use This Skill
- Finding potential customers or clients for your product/service
- Building a list of companies to reach out to for partnerships
- Identifying target accounts for sales outreach
- Researching companies that match your ideal customer profile
- Preparing for business development activities
What This Skill Does
- Understands Your Business: Analyzes your product/service, value proposition, and target market
- Identifies Target Companies: Finds companies that match your ideal customer profile based on:
- Industry and sector
- Company size and location
- Technology stack and tools they use
- Growth stage and funding
- Pain points your product solves
- Prioritizes Leads: Ranks companies based on fit score and relevance
- Provides Contact Strategies: Suggests how to approach each lead with personalized messaging
- Enriches Data: Gathers relevant information about decision-makers and company context
How to Use
Basic Usage
Simply describe your product/service and what you're looking for:
I'm building [product description]. Find me 10 companies in [location/industry]
that would be good leads for this.
With Your Codebase
For even better results, run this from your product's source code directory:
Look at what I'm building in this repository and identify the top 10 companies
in [location/industry] that would benefit from this product.
Advanced Usage
For more targeted research:
My product: [description]
Ideal customer profile:
- Industry: [industry]
- Company size: [size range]
- Location: [location]
- Current pain points: [pain points]
- Technologies they use: [tech stack]
Find me 20 qualified leads with contact strategies for each.
Instructions
When a user requests lead research:
-
Understand the Product/Service
- If in a code directory, analyze the codebase to understand the product
- Ask clarifying questions about the value proposition
- Identify key features and benefits
- Understand what problems it solves
-
Define Ideal Customer Profile
- Determine target industries and sectors
- Identify company size ranges
- Consider geographic preferences
- Understand relevant pain points
- Note any technology requirements
-
Research and Identify Leads
- Search for companies matching the criteria
- Look for signals of need (job postings, tech stack, recent news)
- Consider growth indicators (funding, expansion, hiring)
- Identify companies with complementary products/services
- Check for budget indicators
-
Prioritize and Score
- Create a fit score (1-10) for each lead
- Consider factors like:
- Alignment with ICP
- Signals of immediate need
- Budget availability
- Competitive landscape
- Timing indicators
-
Provide Actionable Output
For each lead, provide:
- Company Name and website
- Why They're a Good Fit: Specific reasons based on their business
- Priority Score: 1-10 with explanation
- Decision Maker: Role/title to target (e.g., "VP of Engineering")
- Contact Strategy: Personalized approach suggestions
- Value Proposition: How your product solves their specific problem
- Conversation Starters: Specific points to mention in outreach
- LinkedIn URL: If available, for easy connection
-
Format the Output
Present results in a clear, scannable format:
# Lead Research Results ## Summary - Total leads found: [X] - High priority (8-10): [X] - Medium priority (5-7): [X] - Average fit score: [X] --- ## Lead 1: [Company Name] **Website**: [URL] **Priority Score**: [X/10] **Industry**: [Industry] **Size**: [Employee count/revenue range] **Why They're a Good Fit**: [2-3 specific reasons based on their business] **Target Decision Maker**: [Role/Title] **LinkedIn**: [URL if available] **Value Proposition for Them**: [Specific benefit for this company] **Outreach Strategy**: [Personalized approach - mention specific pain points, recent company news, or relevant context] **Conversation Starters**: - [Specific point 1] - [Specific point 2] --- [Repeat for each lead] -
Offer Next Steps
- Suggest saving results to a CSV for CRM import
- Offer to draft personalized outreach messages
- Recommend prioritization based on timing
- Suggest follow-up research for top leads
Examples
Example 1: From Lenny's Newsletter
User: "I'm building a tool that masks sensitive data in AI coding assistant queries. Find potential leads."
Output: Creates a prioritized list of companies that:
- Use AI coding assistants (Copilot, Cursor, etc.)
- Handle sensitive data (fintech, healthcare, legal)
- Have evidence in their GitHub repos of using coding agents
- May have accidentally exposed sensitive data in code
- Includes LinkedIn URLs of relevant decision-makers
Example 2: Local Business
User: "I run a consulting practice for remote team productivity. Find me 10 companies in the Bay Area that recently went remote."
Output: Identifies companies that:
- Recently posted remote job listings
- Announced remote-first policies
- Are hiring distributed teams
- Show signs of remote work challenges
- Provides personalized outreach strategies for each
Tips for Best Results
- Be specific about your product and its unique value
- Run from your codebase if applicable for automatic context
- Provide context about your ideal customer profile
- Specify constraints like industry, location, or company size
- Request follow-up research on promising leads for deeper insights
Related Use Cases
- Drafting personalized outreach emails after identifying leads
- Building a CRM-ready CSV of qualified prospects
- Researching specific companies in detail
- Analyzing competitor customer bases
- Identifying partnership opportunities