OpenClaw

lead-enrichment

Enrich contact and lead records with LinkedIn profiles, email addresses, company data, and education info. Use when asked to "enrich contacts", "fill in missing data", "find emails for leads", "complete lead profiles", "look up company info", or any bulk data completion task for CRM records.

aspenas0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install aspenas/ironclaw-lead-enrichment

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Lead Enrichment — Multi-Source Data Completion

Enrich CRM contact records by filling missing fields from multiple sources. Works with DuckDB workspace entries or standalone JSON data.

Sources (Priority Order)

LinkedIn (via linkedin-scraper skill) — name, title, company, education, connections
Web Search (via web_search tool) — email patterns, company info, social profiles
Company Website (via web_fetch) — team pages, about pages, contact info
Email Pattern Discovery — derive email from name + company domain

Enrichment Pipeline

Step 1: Assess What's Missing

-- Query the target object to find gaps
SELECT "Name", "Email", "LinkedIn URL", "Company", "Title", "Location"
FROM v_leads
WHERE "Email" IS NULL OR "LinkedIn URL" IS NULL OR "Title" IS NULL;

Step 2: Prioritize by Value

High priority: Missing email (needed for outreach)
Medium priority: Missing title/company (needed for personalization)
Low priority: Missing education, connections count, about text

Step 3: Enrich Per Record

For each record with gaps:

If LinkedIn URL is known but other fields missing:

Use linkedin-scraper to visit profile
Extract: title, company, location, education, about
Update DuckDB record

If LinkedIn URL is missing:

Search LinkedIn: {name} {company} or {name} {title}
Verify match (name + company alignment)
Store LinkedIn URL, then scrape full profile

If Email is missing:

Find company domain (web search or LinkedIn company page)
Try common patterns:
- first@domain.com
- first.last@domain.com
- flast@domain.com
- firstl@domain.com
Optionally verify with web search: "email" "{name}" site:{domain}
Check company team/about page for email format clues

If Company info is missing:

Web search: "{name}" "{title}" or check LinkedIn
Fetch company website for: industry, size, description, funding

Step 4: Update Records

-- Up...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/aspenas/ironclaw-lead-enrichment
Version: —
Commit: 0c963479544555697b4741f229043ecea21f227a
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Lead Enrichment — Multi-Source Data Completion

Enrich CRM contact records by filling missing fields from multiple sources. Works with DuckDB workspace entries or standalone JSON data.

## Sources (Priority Order)

1. **LinkedIn** (via linkedin-scraper skill) — name, title, company, education, connections
2. **Web Search** (via web_search tool) — email patterns, company info, social profiles
3. **Company Website** (via web_fetch) — team pages, about pages, contact info
4. **Email Pattern Discovery** — derive email from name + company domain

## Enrichment Pipeline

### Step 1: Assess What's Missing
```sql
-- Query the target object to find gaps
SELECT "Name", "Email", "LinkedIn URL", "Company", "Title", "Location"
FROM v_leads
WHERE "Email" IS NULL OR "LinkedIn URL" IS NULL OR "Title" IS NULL;
```

### Step 2: Prioritize by Value
- **High priority**: Missing email (needed for outreach)
- **Medium priority**: Missing title/company (needed for personalization)
- **Low priority**: Missing education, connections count, about text

### Step 3: Enrich Per Record

For each record with gaps:

#### If LinkedIn URL is known but other fields missing:
1. Use linkedin-scraper to visit profile
2. Extract: title, company, location, education, about
3. Update DuckDB record

#### If LinkedIn URL is missing:
1. Search LinkedIn: `{name} {company}` or `{name} {title}`
2. Verify match (name + company alignment)
3. Store LinkedIn URL, then scrape full profile

#### If Email is missing:
1. Find company domain (web search or LinkedIn company page)
2. Try common patterns:
   - `first@domain.com`
   - `first.last@domain.com`
   - `flast@domain.com`
   - `firstl@domain.com`
3. Optionally verify with web search: `"email" "{name}" site:{domain}`
4. Check company team/about page for email format clues

#### If Company info is missing:
1. Web search: `"{name}" "{title}"` or check LinkedIn
2. Fetch company website for: industry, size, description, funding

### Step 4: Update Records
```sql
-- Up...

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