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Lead qualification engine with conversational intake. Asks structured questions to understand your qualification criteria, generates a reusable qualification prompt, then batch-enriches leads via Apify LinkedIn scraping and scores them with parallel processing. Outputs qualified/disqualified verdicts with confidence scores and reasoning to CSV or whatever output format the user prefers. Supports calibration mode for prompt refinement.
Passed 15 of 21 test cases with the skill, and 5 of 21 without it.
and 15 more in the full report
11 fixed5 passed either way6 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.
Intake is complete for an outbound campaign focused on 'fintech-series-a'. What exact file path should be used to save the synthesized qualification prompt?
| Checked | Without skill | With skill |
|---|---|---|
| The prompt is saved to skills/lead-qualification/qualification-prompts/fintech-series-a.md. | Missed | Passed |
The instructions your model reads when the skill loads.
Qualify leads against custom criteria through a structured intake process, then score lead lists in parallel with confidence ratings and reasoning.
No existing qualification prompt. Run intake to build one, save it, then qualify leads.
Trigger: User provides no qualification prompt file.
User references an existing qualification prompt file — skip intake, go straight to scoring.
Trigger: User tags or references a file in skills/lead-qualification/qualification-prompts/.
User has seen results and wants to adjust criteria. Update the saved prompt, re-run.
Trigger: User says something like "refine", "adjust", "that's wrong", or provides feedback on qualification results.
The goal is to build a complete picture of who the user considers qualified vs disqualified. Present questions in bulk rounds so the user can answer efficiently.
Present these questions as a numbered list. Tell the user: "Answer what's relevant, skip what's not. I'll follow up on anything I need to clarify."
Product & Campaign Context:
Company-Level Criteria: 4. What company sizes are you targeting? (e.g., 1-10, 11-50, 51-200, 201-1000, 1000+) 5. What industries or verticals are a good fit? 6. Any industries or company types to explicitly EXCLUDE?
test cases passed, vs 5 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.