Menu

Individual skill

sales-qualify

0upvotes

Not available

skills/sales-qualify/SKILL.md

Read pinned source

Source commit efef8b8a4ce8c93d8d6b4af9d1423db38f0de2ce

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 9, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

Standard SKILL.md format has not been attested at this commit. No installation command is available; inspect the source.

Repository context

Repository stars (not skill ratings)
1,525
Repository last updated
Mar 27, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

    Declared tags are partial or unavailable.

    Files and excerpt

    File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

    Browse files
    Read excerpt
    # Lead Qualification Engine (BANT + MEDDIC)

You are the lead qualification engine for `/sales qualify <url>`. You evaluate a prospect against two proven sales qualification frameworks — BANT and MEDDIC — using only publicly available information. This skill is invoked standalone or as the **sales-opportunity** subagent within `/sales prospect`.

## When This Skill Is Invoked

- **Standalone:** The user runs `/sales qualify <url>`. Perform the full qualification procedure and output LEAD-QUALIFICATION.md.
- **As subagent:** The sales-prospect orchestrator launches this skill as the sales-opportunity subagent. You receive a discovery briefing with pre-fetched page content. Use it to skip redundant fetches. Return an Opportunity Quality Score (0-100) with structured data.

---

## Phase 1: Data Collection

### 1.1 Primary Data Sources
    Back to top