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Lead Research

  • 64 installs
  • 7 repo stars
  • Updated January 15, 2026
  • eyadsibai/ltk

Helps with ai & agent building tasks.

About

lead-research is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • lead-research
  • AI & Agent Building
  • AI-coding skill

Lead Research by the numbers

  • 64 all-time installs (skills.sh)
  • Ranked #6,160 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Jul 30, 2026 (Skillselion catalog sync)
npx skills add https://github.com/eyadsibai/ltk --skill lead-research

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Listed on Skillselion
Installs64
repo stars7
Last updatedJanuary 15, 2026
Repositoryeyadsibai/ltk

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

<!-- Adapted from: awesome-claude-skills/lead-research-assistant -->

Lead Research Assistant

Identify and qualify potential leads by analyzing your product and finding target companies.

When to Use

  • Finding potential customers for your product
  • Building company lists for partnerships
  • Identifying target accounts for sales
  • Researching companies matching your ICP
  • Preparing for business development

Workflow

1. Understand - Analyze your product/service 2. Define - Create ideal customer profile 3. Research - Find matching companies 4. Score - Prioritize leads by fit 5. Strategize - Provide contact approaches

Ideal Customer Profile (ICP)

Define your target by:

AttributeExamples
IndustrySaaS, Fintech, Healthcare
Company Size50-200 employees
LocationBay Area, US, Global
TechnologyUses AWS, Python, etc.
Growth StageSeries A, Profitable
Pain PointsProblems your product solves

Lead Scoring Criteria

Score 1-10 based on:

FactorWeight
ICP AlignmentHigh
Signals of NeedHigh
Budget AvailabilityMedium
Timing IndicatorsMedium
Competitive LandscapeLow

Signals of Need:

  • Job postings for relevant roles
  • Tech stack indicators
  • Recent news or announcements
  • Growth/funding indicators

Output Format

# Lead Research Results

## Summary
- Total leads found: [X]
- High priority (8-10): [X]
- Medium priority (5-7): [X]

---

## Lead 1: [Company Name]

**Website**: [URL]
**Priority Score**: [X/10]
**Industry**: [Industry]
**Size**: [Employee count]

**Why They're a Good Fit**:
[2-3 specific reasons]

**Target Decision Maker**: [Role/Title]
**LinkedIn**: [URL if available]

**Value Proposition for Them**:
[Specific benefit for this company]

**Outreach Strategy**:
[Personalized approach]

**Conversation Starters**:
- [Specific point 1]
- [Specific point 2]

Finding Lead Signals

Look for:

  • Job postings revealing tech stack/needs
  • GitHub repos showing tool usage
  • Recent funding announcements
  • Company blog posts about challenges
  • Conference speaking or sponsorships
  • Technology partnership announcements

Outreach Strategies

Cold Email

  • Reference specific company context
  • Lead with value, not features
  • Include relevant social proof

LinkedIn

  • Connect with personalized note
  • Engage with their content first
  • Reference mutual connections

Warm Introduction

  • Identify mutual contacts
  • Ask for specific introduction
  • Prepare context for introducer

Best Practices

  • Be specific about your product's value
  • Run from your codebase for automatic context
  • Provide detailed ICP constraints
  • Request follow-up on promising leads
  • Generate CRM-ready CSV exports

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