Gtm Enrichment Smart
Runs a four-phase enrichment waterfall — Apollo, Hunter, and Brand.dev in parallel; gap-fill; Sixtyfour fallback; then buying signal detection.
npx goose-skills installDescription
Runs a four-phase enrichment waterfall — Apollo, Hunter, and Brand.dev in parallel; gap-fill; Sixtyfour fallback; then buying signal detection. Balances cost and coverage at $0.04-$0.10 per lead.
What this skill does
- 1Run Apollo, Hunter, and Brand.dev in parallel (Phase 1) to collect person and company data, then cross-reference for confidence scoring.
- 2Classify each lead as AI company and/or B2B SaaS using signals from all three Phase 1 sources at zero extra cost.
- 3Trigger expensive fallbacks (Sixtyfour at $0.10/call) only when cheap sources returned nothing for a given field.
- 4Add buying signals — enterprise plan, self-serve pricing, hiring enterprise reps, GitHub stars, Twitter followers — only for funded B2B companies with 50+ employees.
When to use
- You are enriching a high-volume list and want to minimize cost while maximizing data quality.
- You need confidence-scored, cross-referenced enrichment rather than a single-source lookup.
- You want buying signals (enterprise plan, hiring signals, social reach) alongside standard contact data.
Tools used
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Frequently asked questions
What is Gtm Enrichment Smart?
Gtm Enrichment Smart is a Claude Code skill for sourcing by GooseWorks AI. Runs a four-phase enrichment waterfall — Apollo, Hunter, and Brand.dev in parallel; gap-fill; Sixtyfour fallback; then buying signal detection.
When should I use Gtm Enrichment Smart?
You are enriching a high-volume list and want to minimize cost while maximizing data quality. You need confidence-scored, cross-referenced enrichment rather than a single-source lookup.
How do I install Gtm Enrichment Smart?
Run the install command (npx goose-skills install). Once the skill is in place, Claude Code loads it automatically whenever a task matches what it does.
Is Gtm Enrichment Smart free to use?
The author distributes it as MIT, but the repository has no LICENSE file. The source is public on GitHub (gooseworks-ai/goose-skills).