lead-research-assistant
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.
Install / Use
npx skills add ComposioHQ/awesome-claude-skills --skill lead-research-assistantInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
MarketingSupported Platforms
Tags
Our assessment of lead-research-assistant
lead-research-assistant scores 97/100 on our quality scale, 2nd of 82 Marketing skills we index (top 3%).
Its SKILL.md is 6.4 KB long, well organised into 13 sections with 3 code examples: a thorough specification that gives an agent plenty to work with.
With 75,586 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 6 days ago, so lead-research-assistant is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
lead-research-assistant compared with similar skills
All 4 of these similar skills score higher than lead-research-assistant; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| lead-research-assistant (this skill)by ComposioHQ | 97 | 75.6k | 6d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 2d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 2d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 3d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 3d ago | SKILL.md |
Frequently asked questions
- How do I install lead-research-assistant?
- Run
npx skills add ComposioHQ/awesome-claude-skills --skill lead-research-assistant. The install tabs above show the steps for each supported agent. - Which AI agents does lead-research-assistant work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is lead-research-assistant safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is lead-research-assistant still maintained?
- The repository was last updated 6 days ago, so lead-research-assistant is actively maintained.
Skill content
View source on GitHubname: lead-research-assistant description: 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.
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
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
