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Two-phase Apollo.io prospecting: free People Search to discover ICP-matching leads, then selective enrichment to reveal emails/phones (credits per contact). Creates Apollo lists. Deduplicates against existing contacts by LinkedIn URL.
Passed 19 of 22 test cases with the skill, and 8 of 22 without it.
and 14 more in the full report
11 fixed8 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
What are the standard mode limits for maximum pages, maximum results, and maximum enrichments when running standard volume campaigns?
| Checked | Without skill | With skill |
|---|---|---|
| Sets max pages to 50 and max results to 5000 for standard mode search | Missed | Passed |
| Caps maximum enrichments at 500 contacts for standard mode | Missed | Passed |
The instructions your model reads when the skill loads.
Two-phase Apollo.io prospecting: free People Search for lead discovery, then selective paid enrichment to reveal emails and phone numbers. Creates Apollo lists and contacts.
Key advantage: Apollo People Search is free (no credits consumed). Credits are only spent when enriching contacts to reveal email/phone. This lets you search tens of thousands of leads at zero cost, review results, then selectively enrich only the best matches.
Get your API key from Apollo.io Settings > Integrations > API. Add to .env:
APOLLO_API_KEY=your-api-key-here
That's it — one env var.
Ask the user these questions to build the Apollo filter config:
Build the config JSON with Apollo's filter format:
{
"client_name": "example-client",
"search_config_name": "vp-sales-us-midmarket",
test cases passed, vs 8 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.