
Lead Research Assistant
- 26 installs
- 4 repo stars
- Updated April 11, 2026
- 89jobrien/steve
This is a copy of lead-research-assistant by composiohq - installs and ranking accrue to the original listing.
lead-research-assistant is a Claude Code skill that identifies, scores, and qualifies sales leads matching an ideal customer profile and suggests outreach strategies.
About
lead-research-assistant is a Claude Code skill that identifies and qualifies sales leads for a product or service. A developer or founder uses it to define an ideal customer profile, find matching companies, score them by fit, and get contact strategies. It can analyze the current repository to understand the product before researching leads.
- Identifies and qualifies leads matching your ideal customer profile
- Scores leads by fit and suggests decision-makers to target
- Provides personalized contact strategies and outreach starters
Lead Research Assistant by the numbers
- 26 all-time installs (skills.sh)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
lead-research-assistant capabilities & compatibility
- Capabilities
- lead research · lead scoring · prospecting
- Use cases
- research · marketing
- Pricing
- Free
What lead-research-assistant says it does
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.
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| Installs | 26 |
|---|---|
| repo stars | ★ 4 |
| Last updated | April 11, 2026 |
| Repository | 89jobrien/steve ↗ |
What it does
Find and qualify sales leads matching an ideal customer profile.
Who is it for?
Founders and sales or business-development teams building a qualified list of target companies.
Skip if: Sending outreach or managing a CRM pipeline; it stops at research and strategy.
When should I use this skill?
You need to find potential customers or target accounts for sales outreach.
What you get
Produces a prioritized, fit-scored list of target companies with decision-makers and personalized contact strategies.
- prioritized lead list
- fit scores
- contact strategies
By the numbers
- 1-10 lead fit scoring
- 7-step research workflow
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
1. Understands Your Business: Analyzes your product/service, value proposition, and target market 2. 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
3. Prioritizes Leads: Ranks companies based on fit score and relevance 4. Provides Contact Strategies: Suggests how to approach each lead with personalized messaging 5. 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:
1. 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
2. Define Ideal Customer Profile
- Determine target industries and sectors
- Identify company size ranges
- Consider geographic preferences
- Understand relevant pain points
- Note any technology requirements
3. 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
4. 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
5. 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
6. 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]7. 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
Reference Files
- `references/RESEARCH_REPORT.template.md` - Research report template with key findings, evidence, and recommendations
- `references/COMPETITIVE_ANALYSIS.template.md` - Competitive analysis template with market overview, competitor profiles, and SWOT
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
Competitive Analysis: {{MARKET_OR_PRODUCT}}
Generated: {{TIMESTAMP}} Analysis Period: {{DATE_RANGE}} Analyst: {{NAME}}
---
Executive Summary
{{OVERVIEW_OF_COMPETITIVE_LANDSCAPE}}
Key Takeaways
1. {{TAKEAWAY_1}} 2. {{TAKEAWAY_2}} 3. {{TAKEAWAY_3}}
---
Market Overview
Market Size
| Metric | Value | Growth |
|---|---|---|
| Total Addressable Market (TAM) | ${{N}} | {{N}}% |
| Serviceable Market (SAM) | ${{N}} | {{N}}% |
| Current Market Share | {{N}}% | {{TREND}} |
Market Trends
1. {{TREND_1}}: {{DESCRIPTION}} 2. {{TREND_2}}: {{DESCRIPTION}} 3. {{TREND_3}}: {{DESCRIPTION}}
---
Competitor Profiles
{{COMPETITOR_1}}
| Attribute | Details |
|---|---|
| Founded | {{YEAR}} |
| Headquarters | {{LOCATION}} |
| Funding/Revenue | ${{N}} |
| Employees | {{N}} |
| Market Position | {{LEADER/CHALLENGER/NICHE}} |
Products/Services:
- {{PRODUCT_1}}: {{DESCRIPTION}}
- {{PRODUCT_2}}: {{DESCRIPTION}}
Strengths:
- {{STRENGTH_1}}
- {{STRENGTH_2}}
Weaknesses:
- {{WEAKNESS_1}}
- {{WEAKNESS_2}}
Recent Moves:
- {{DATE}}: {{ACTION}}
---
{{COMPETITOR_2}}
| Attribute | Details |
|---|---|
| Founded | {{YEAR}} |
| Market Position | {{POSITION}} |
Products/Services:
- {{PRODUCT_1}}
Strengths:
- {{STRENGTH_1}}
Weaknesses:
- {{WEAKNESS_1}}
---
Feature Comparison
| Feature | Us | {{COMP_1}} | {{COMP_2}} | {{COMP_3}} |
|---|---|---|---|---|
| {{FEATURE_1}} | {{Y/N/PARTIAL}} | {{Y/N}} | {{Y/N}} | {{Y/N}} |
| {{FEATURE_2}} | {{Y/N/PARTIAL}} | {{Y/N}} | {{Y/N}} | {{Y/N}} |
| {{FEATURE_3}} | {{Y/N/PARTIAL}} | {{Y/N}} | {{Y/N}} | {{Y/N}} |
---
Pricing Comparison
| Tier | Us | {{COMP_1}} | {{COMP_2}} |
|---|---|---|---|
| Free | {{DETAILS}} | {{DETAILS}} | {{DETAILS}} |
| Basic | ${{N}}/mo | ${{N}}/mo | ${{N}}/mo |
| Pro | ${{N}}/mo | ${{N}}/mo | ${{N}}/mo |
| Enterprise | Custom | Custom | Custom |
---
Positioning Map
High Price
│
Premium │ Luxury
{{COMP_A}} │ {{COMP_B}}
│
Low Feature ────────────┼──────────── High Feature
│
Budget │ Value
{{COMP_C}} │ {{US}}
│
Low Price---
SWOT Analysis (Our Position)
| Strengths | Weaknesses |
|---|---|
| {{S1}} | {{W1}} |
| {{S2}} | {{W2}} |
| Opportunities | Threats |
|---|---|
| {{O1}} | {{T1}} |
| {{O2}} | {{T2}} |
---
Competitive Advantages
Our Differentiators
1. {{DIFFERENTIATOR_1}}: {{WHY_IT_MATTERS}} 2. {{DIFFERENTIATOR_2}}: {{WHY_IT_MATTERS}}
Competitor Advantages to Address
1. {{COMP_ADVANTAGE_1}}: {{MITIGATION_STRATEGY}} 2. {{COMP_ADVANTAGE_2}}: {{MITIGATION_STRATEGY}}
---
Strategic Recommendations
Short-term (0-6 months)
1. {{RECOMMENDATION_1}} 2. {{RECOMMENDATION_2}}
Long-term (6-18 months)
1. {{RECOMMENDATION_1}} 2. {{RECOMMENDATION_2}}
Watch List
- {{EMERGING_COMPETITOR}}: {{WHY_TO_WATCH}}
- {{MARKET_SHIFT}}: {{POTENTIAL_IMPACT}}
---
Sources
1. {{SOURCE_1}} 2. {{SOURCE_2}} 3. {{INTERNAL_DATA_SOURCE}}
---
Quality Checklist
- [ ] All major competitors included
- [ ] Data is current (within 6 months)
- [ ] Feature comparison verified
- [ ] Pricing information accurate
- [ ] Strategic recommendations actionable
- [ ] Sources documented
Research Report: {{TOPIC}}
Generated: {{TIMESTAMP}} Query Type: {{BREADTH|DEPTH|FACTUAL}} Confidence: {{HIGH|MEDIUM|LOW}}
---
Executive Summary
{{3-5_PARAGRAPH_OVERVIEW}}
---
Key Findings
1. {{FINDING_1}}
- Evidence: {{SUPPORTING_DATA}}
- Sources: {{SOURCE_COUNT}} sources
2. {{FINDING_2}}
- Evidence: {{SUPPORTING_DATA}}
- Sources: {{SOURCE_COUNT}} sources
3. {{FINDING_3}}
- Evidence: {{SUPPORTING_DATA}}
- Sources: {{SOURCE_COUNT}} sources
---
Detailed Analysis
{{THEME_1}}
{{COMPREHENSIVE_ANALYSIS}}
Supporting Evidence
- {{EVIDENCE_1}} (Source)
- {{EVIDENCE_2}} (Source)
Implications
{{WHAT_THIS_MEANS}}
---
{{THEME_2}}
{{COMPREHENSIVE_ANALYSIS}}
Supporting Evidence
- {{EVIDENCE_1}} (Source)
- {{EVIDENCE_2}} (Source)
---
{{THEME_3}}
{{COMPREHENSIVE_ANALYSIS}}
---
Comparisons
| Aspect | {{OPTION_A}} | {{OPTION_B}} | {{OPTION_C}} |
|---|---|---|---|
| {{CRITERIA_1}} | {{VALUE}} | {{VALUE}} | {{VALUE}} |
| {{CRITERIA_2}} | {{VALUE}} | {{VALUE}} | {{VALUE}} |
| {{CRITERIA_3}} | {{VALUE}} | {{VALUE}} | {{VALUE}} |
---
Timeline
| Date | Event |
|---|---|
| {{DATE}} | {{EVENT}} |
| {{DATE}} | {{EVENT}} |
---
Gaps & Uncertainties
Information Gaps
- {{GAP_1}}: Unable to verify due to {{REASON}}
- {{GAP_2}}: Conflicting information from sources
Contradictions Found
| Claim | Source A Says | Source B Says |
|---|---|---|
| {{CLAIM}} | {{POSITION}} | {{POSITION}} |
Areas Requiring Further Research
1. {{AREA_1}} 2. {{AREA_2}}
---
Recommendations
Immediate Actions
1. {{ACTION_1}} 2. {{ACTION_2}}
Further Investigation Needed
1. {{INVESTIGATION_1}} 2. {{INVESTIGATION_2}}
---
Sources & References
Primary Sources
1. {{TITLE}} - {{DESCRIPTION}} 2. {{TITLE}} - {{DESCRIPTION}}
Secondary Sources
1. {{TITLE}} - {{DESCRIPTION}}
Academic / Technical
1. {{AUTHOR}} ({{YEAR}}). {{TITLE}}. {{PUBLICATION}}. URL
---
Research Methodology
| Metric | Value |
|---|---|
| Query Classification | {{TYPE}} |
| Research Agents Used | {{N}} |
| Total Searches | {{N}} |
| Sources Analyzed | {{N}} |
| Research Duration | {{TIME}} |
Research Artifacts
/tmp/research_{{TOPIC_1}}.md/tmp/research_{{TOPIC_2}}.md- Final:
/tmp/research_final_{{TIMESTAMP}}.md
---
Quality Checklist
- [ ] Multiple independent sources confirm key findings
- [ ] Contradictions and gaps documented
- [ ] Primary sources prioritized over secondary
- [ ] Methodology transparent and reproducible
- [ ] Confidence levels appropriate to evidence
- [ ] Actionable recommendations provided
Related skills
FAQ
How does it prioritize leads?
It creates a fit score (1-10) per lead based on ICP alignment, need signals, budget, and timing.
Can it use my codebase?
Yes. Run it from your product's source directory and it analyzes the code to understand the product.