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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.

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Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install aspenas/ironclaw-lead-enrichment

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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
-- 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
-- Up...

Source information

Source
github
Repository
openclaw/skills
Path
skills/aspenas/ironclaw-lead-enrichment
Version
—
Commit
0c963479544555697b4741f229043ecea21f227a
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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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