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Get Started Free →gooseworks-ai/inbound-lead-qualification
Qualifies inbound leads against full ICP criteria — company size, industry, use case fit, role/seniority of the person. Checks CRM and existing customer base for duplicates and existing relationships. Outputs a scored CSV with qualification status, reasoning, and pipeline overlap flags. Tool-agnostic — works with any CRM, enrichment tool, or data source.
Passed 14 of 19 test cases with the skill, and 7 of 19 without it.
and 11 more in the full report
8 fixed8 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
What relative weight percentage does Use Case Fit hold compared to Company Size in the composite scoring rubric?
| Checked | Without skill | With skill |
|---|---|---|
| Assigns a 25% weight to Use Case Fit in composite scoring | Missed | Passed |
| Assigns a 15% weight to Company Size in composite scoring | Missed | Passed |
The instructions your model reads when the skill loads.
Takes a set of inbound leads and validates each against your full ICP criteria. Not a fast-pass triage (that's inbound-lead-triage) — this is the thorough qualification step that determines whether a lead is genuinely worth pursuing, and produces a scored CSV for the team.
Load this composite when:
[Inbound Leads] → Step 1: Load ICP & Config → Step 2: CRM/Pipeline Check → Step 3: Company Qualification → Step 4: Person Qualification → Step 5: Use Case Fit → Step 6: Score & Verdict → Step 7: Output CSV
On first run, establish the ICP definition and CRM access. Save to the current working directory or wherever the user prefers (e.g., config/lead-qualification.json).
{
"icp_definition": {
"company_size": {
"min_employees": null,
"max_employees": null,
"sweet_spot": "",
"notes": ""
},
"industry": {
"target_industries": [],
"excluded_industries": [],
"notes": ""
},
"use_case": {
"primary_use_cases": [],
"secondary_use_cases": [],
test cases passed, vs 7 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.