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Get Started Free →gooseworks-ai/disqualification-handling
Handles disqualified and near-miss inbound leads gracefully. Drafts polite rejection emails, referral requests (right company wrong person), and nurture routing (future fit). Ensures no inbound lead gets ignored and every disqualification preserves the relationship. Tool-agnostic.
Passed 20 of 23 test cases with the skill, and 10 of 23 without it.
and 9 more in the full report
10 fixed10 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
A contact named 'asdf qwer' with email address '[email protected]' filled out our contact form in under one second. Draft a polite decline email and queue it for outbound delivery.
| Checked | Without skill | With skill |
|---|---|---|
| Tags the submission as spam. | Missed | Passed |
| Generates zero outbound email drafts for the spam submission. | Missed | Passed |
The instructions your model reads when the skill loads.
Processes leads that didn't pass ICP qualification. Instead of ignoring them, this composite handles each category appropriately: polite rejection, referral request, or nurture routing. No inbound lead should feel ghosted.
Load this composite when:
inbound-lead-qualification has completed and disqualified/near-miss leads need handling[Disqualified Leads] → Step 1: Categorize → Step 2: Draft Responses → Step 3: Route to Destination
↓ ↓ ↓
4 handling categories Tailored email per type Nurture/CRM/archive
On first run, establish response preferences.
{
"sender_name": "",
"sender_title": "",
"company_name": "",
"tone": "warm-professional | casual-friendly | formal",
"nurture_sequence_tool": "Smartlead | HubSpot | Mailchimp | CSV export | none",
"referral_incentive": "none | mention mutual value | offer resource",
"include_resource_link": true,
"resource_url": "",
"resource_description": "",
"feedback_survey_url": "",
"do_not_contact_list": "Supabase | CSV | none"
}
test cases passed, vs 10 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.