nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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.
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-enrichmentInspect 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.
Enrich CRM contact records by filling missing fields from multiple sources. Works with DuckDB workspace entries or standalone JSON data.
-- 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;
For each record with gaps:
{name} {company} or {name} {title}
first@domain.com
first.last@domain.com
flast@domain.com
firstl@domain.com
"email" "{name}" site:{domain}
"{name}" "{title}" or check LinkedIn-- Up...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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...AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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