gtm-enrichment-deep
AI-agent-powered lead enrichment using Sixtyfour as primary source. Takes an email (+ optional name) and returns comprehensive person + company data with funding, AI/B2B classification, and full error visibility. Higher cost (~$0.20/lead) but simpler architecture.
npx skills add gooseworks-ai/goose-skills --skill gtm-enrichment-deep --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# GTM Enrichment — Deep (Sixtyfour AI Agent) ## Setup Read your credentials from ~/.gooseworks/credentials.json: ```bash export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])") export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))") ``` If ~/.gooseworks/credentials.json does not exist, tell the user to run: `npx gooseworks login` All endpoints use Bearer auth: `-H "Authorization: Bearer $GOOSEWORKS_API_KEY"` Enrich a lead from an email address (+ optional name) using Sixtyfour's AI agents as the primary enrichment source. Returns person data, company data, funding history, and AI/B2B classification. **Cost**: ~$0.20-$0.22 per lead **Latency**: ~30-60s (Sixtyfour AI agents browse the web) ## Input Required: - **email** — the lead's email address (e.g., `jane@acme.com`) Optional: - **name** — full name if known (improves match rate) ## Workflow ### Step 1: Extract Domain Extract the domain from the email address. Example: `jane@acme.com` -> domain: `acme.com` ### Step 2: Run Sixtyfour Enrichment (parallel) Fire b
- Setup
- Input
- Workflow
- Step 1: Extract Domain
- Step 2: Run Sixtyfour Enrichment (parallel)
- Step 3: Fallback — Apollo Person Match (conditional)
- Step 4: Fallback — Apollo Organization Enrich (conditional)
- Step 5: Compile Results
- Output Format
- Error Visibility
- Cost Tracking
- Example
- Tips
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \What does the gtm-enrichment-deep skill do?
AI-agent-powered lead enrichment using Sixtyfour as primary source. Takes an email (+ optional name) and returns comprehensive person + company data with funding, AI/B2B classification, and full error visibility. Higher cost (~$0.20/lead) but simpler architecture.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill gtm-enrichment-deep --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.