SKILL.md - Data Enricher

Purpose

Enrich leads with email addresses and format data for Notion.

Model to Use

• ollama/llama3.2:8b (FREE) for data formatting
• haiku for Hunter.io API calls

Rate Limits

• Max 10 Hunter.io lookups per session (API limit)
• 5 seconds between API calls
• Batch similar domains together

Email Discovery Methods (In Order)

1. Website Contact Page

• Check /contact, /about, /pages/contact
• Look for mailto: links
• Check footer

2. Instagram Bio

• Check bio for email
• Check "Contact" button

3. Hunter.io API

GET https://api.hunter.io/v2/domain-search
?domain={domain}
&api_key={HUNTER_API_KEY}

Response includes: - emails[] - confidence score - type (generic/personal)

Only use emails with confidence > 70%

4. Email Pattern Guessing

Common patterns: - hello@domain.com - info@domain.com - contact@domain.com - [firstname]@domain.com

Email Priority

1. Founder/owner personal email (best)
2. hello@ or hi@ (good)
3. info@ or contact@ (okay)
4. Generic support@ (last resort)

Output Format

{
  "domain_key": "brandname.com",
  "brand_name": "Brand Name",
  "niche": "skincare",
  "website_url": "https://brandname.com",
  "ig_handle": "@brandname",
  "followers_est": 15000,
  "contact_email": "hello@brandname.com",
  "email_confidence": "high",
  "email_source": "hunter.io",
  "source": "meta_ads",
  "status": "new"
}

Deduplication

Before adding any lead: 1. Normalize domain: lowercase, remove www., remove https:// 2. Check if domain_key exists in Notion 3. If exists, skip (don't duplicate) 4. Log: "Skipped [domain] - already in pipeline"

Batch Processing

• Process 10 leads at a time

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• Format all data before Notion sync
• Save formatted batch to workspace/leads-enriched-YYYY-MM-DD.json

这个 Skill 的说明文档写得比较清晰，策略逻辑完整，特别是邮箱发现优先级和去重机制设计合理。但需要注意的是，它目前只有说明文档而没有实际可运行的代码，依赖的 Hunter.io API 需要付费密钥且有调用限制。总体质量中等偏上，文档完备但落地性不足，适合作为自动化线索丰富工具的规划蓝本，若要实际使用还需开发者补充代码实现。