Identifies high-quality leads for products/services by analyzing codebases, ideal customer profiles, company tech stacks, growth signals, and pain points. Ranks leads and suggests outreach strategies.
From asi-skillsnpx claudepluginhub plurigrid/asiThis skill uses the workspace's default tool permissions.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.
Analyzes BMad project state from catalog CSV, configs, artifacts, and query to recommend next skills or answer questions. Useful for help requests, 'what next', or starting BMad.
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.
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.
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.
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.
When a user requests lead research:
Understand the Product/Service
Define Ideal Customer Profile
Research and Identify Leads
Prioritize and Score
Provide Actionable Output
For each lead, provide:
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
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:
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:
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
algorithms: 19 citations in bib.duckdbThis skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
The skill participates in triads satisfying:
(-1) + (0) + (+1) ≡ 0 (mod 3)
This ensures compositional coherence in the Cat# equipment structure.