lead-research-assistant
Skill0 starsChanged 6 months agoMITView on GitHub
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
46 other projects use a version of this, 7 of them edited.
Adopted by
Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data
Most recently taken up by
- BrightGold70/skillsedited, first seen Nov 8, 2026
- catesandrew/skillsedited, first seen Nov 1, 2026
- OpenSourceAssist/awesome-agent-skillsword for word, first seen Nov 1, 2026
- xfstudio/skillsword for word, first seen Oct 13, 2026
- TheArchitectit/awesome-cline-skillsedited, first seen Oct 13, 2026
- adryanmoldokkr32-pixel/awesome-claude-skillsword for word, first seen Oct 11, 2026
Used with
Projects with it also use meeting-insights-analyzer, skill-share and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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ComposioHQSkillhelium-mcp
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Other versions46 projects use a version of this.
Word for word · 36
- ComposioHQ/awesome-claude-skills★ 75k100% same
- ComposioHQ/awesome-codex-skills★ 17k100% same
- composio-community/awesome-codex-skills★ 16k100% same
- Prat011/awesome-llm-skills★ 1.7k100% same
- maslennikov-ig/claude-code-orchestrator-kit★ 248100% same
- ArogyaReddy/ComposioHQ-awesome-claude-skills★ 45100% same
- frostant/awesome-claude-skills★ 44100% same
- ammosu/awesome-claude-skills-zh-TW★ 27100% same
- Hassaan146/claude-skills★ 18100% same
- OpenSourceAssist/awesome-agent-skills★ 17100% same
26 more not listed
Edited · 7
- Prorise-cool/Claude-Code-Multi-Agent★ 30499% same
- TheArchitectit/awesome-cline-skills★ 832% same
- whz39coding/zh-awesome-codex-skills★ 498% same
- pepebot-space/skills★ 299% same
- BrightGold70/skills★ 145% same
- catesandrew/skills★ 118% same
- OrenGolanProjects/ai-assistant-skills★ 043% same
Wrote their own version · 3
- Crumbgrabber/llm_system_template_agents_skills_patterns_tools_prompts★ 3same name
- guaderrama/awesome-claude-skills★ 1same name
- bin1874/awesome-claude-skills-zh★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
11 rules. 1 is common, 10 are distinctive, and 0 are very specific to this project.
1
Common
Most of the 8 edited versions we read keep these.
10
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 69
When a user requests lead research:
- Distinctive: line 72
If in a code directory, analyze the codebase to understand the product
- Distinctive: line 73
Ask clarifying questions about the value proposition
- Common: line 85
Search for companies matching the criteria
- Distinctive: line 86
Look for signals of need (job postings, tech stack, recent news)
- Distinctive: line 87
Consider growth indicators (funding, expansion, hiring)
- Distinctive: line 89
Check for budget indicators
- Distinctive: line 92
Create a fit score (1-10) for each lead
- Distinctive: line 110
LinkedIn URL: If available, for easy connection
- Distinctive: line 168
Use AI coding assistants (Copilot, Cursor, etc.)
- Distinctive: line 188
Run from your codebase: if applicable for automatic context
“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

