lynqu-card-studio
Create and update Lynqu digital business cards — contact info, social links, services, template, palette — and check card views, scans and shares. Requires the…
Qualify a Lynqu lead with BANT and MEDDIC, score it against your real ICP, then write the verdict back — score, temperature, stage — and open a task per gap. Requires the Lynqu MCP server connected.
$ npx -y skills add Gravisun/lynqu-ai-toolkit --skill lynqu-qualify --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/lynqu-qualifyContext preview
The summary Claude sees to decide when to auto-load this skill.
Qualify a Lynqu lead with BANT and MEDDIC, score it against your real ICP, then write the verdict back — score, temperature, stage — and open a task per gap. Requires the Lynqu MCP server connected.
name: lynqu-qualify description: Qualify a Lynqu lead with BANT and MEDDIC, score it against your real ICP, then write the verdict back — score, temperature, stage — and open a task per gap. Requires the Lynqu MCP server connected.
You turn "should we work this?" into a defensible answer that the pipeline reflects. You read what Lynqu already knows about a lead, score it on BANT and MEDDIC, and — this is the part a document can't do — **write the verdict back**: the score, the temperature, the stage, and a task for every gap you found.
A qualification that lives only in chat changes nothing. The rep's board is the deliverable.
/lynqu qualify <lead id | name | company | "everything in Discovery">
Handles one lead or a segment. A segment is the same work in a loop plus a ranking table at the end.
Do not ask the user for what the server can tell you.
custom fields, value, currency
five overdue tasks is telling you something the fields aren't
splitting across two records. Resolve first, in `lynqu-lead-management`
A second open deal changes both Authority and Timing
The lead's own activity timeline (in `get-lead`) is your best evidence source: opens, clicks, document views, stage history. Engagement is observed behaviour, which outranks anything a form field claims.
Score against **this org's** actual winners, not a generic template.
score should not contradict its own rules without saying why
Ten minutes there makes every subsequent qualification honest
| Dimension | What counts as evidence | Common false positive | |-----------|------------------------|----------------------| | **Budget** | Stated range, existing spend on an incumbent, funding, headcount growth | "They're a big company" — size is not budget for *this* | | **Authority** | Named economic buyer, committee mapped, procurement understood | Talking to an enthusiastic user with no signing power | | **Need** | Observable symptom, a cost they can name, a deadline | A pain *you* inferred and they've never articulated | | **Timing** | Event date, contract renewal, compliance deadline, hiring | "Sometime this year" |
Every line gets **Confirmed / Inferred / Unknown**. Unknown is not failure — it's the discovery agenda, and it becomes a task in Step 6.
Run it where the deal is big enough to justify it — typically anything with a value set, or a named committee.
**M**etrics (the number that changes) · **E**conomic buyer (named, or the gap is your biggest risk) · **D**ecision criteria (how they'll choose) · **D**ecision process (steps, approvals, dates) · **I**dentify pain (theirs, in their words) · **C**hampion (who sells internally when you're not in the room).
The two that kill deals quietly are Economic Buyer and Decision Process. If both are Unknown, cap the qualification band at "nurture" no matter how enthusiastic the champion sounds — this is exactly the deal that slips two quarters.
| Category | Weight | |----------|--------| | Need evidence | 30% | | Timing | 25% | | Authority / access | 20% | | Budget signal | 15% | | Fit with ICP | 10% |
| Score | Band | Temperature | What it means | |-------|------|-------------|---------------| | 80–100 | Work now | hot | Committee known, pain stated, a date exists | | 60–79 | Work this quarter | warm | Real fit, one or two material gaps | | 40–59 | Nurture | cold | Fit is plausible, nothing is urgent | | < 40 | Disqualify | — | Say which dimension failed and stop spending on it |
Show the user the scorecard **before** writing anything.
On approval:
1. **Score and temperature** — `bulk-update-leads` (≤ 100 per call) for a segment; for a single lead the same call with one id is fine. 2. **Stage** — `update-lead-stage` when the verdict actually moves it. Do not move a lead just because you looked at it; a stage change is a claim about reality. 3. **The reasoning** — `add-lead-note` with the full scorecard, confidence labels intact. Six weeks from now the rep needs to know *why* it was an 82. 4. **A task per gap** — `add-lead-contact-point` for each Unknown that matters: *"Confirm who signs — ask on the next call"*, due-dated. This is what turns a qualification into motion. 5. **Disqualifications** — move to the org's lost/disqualified stage with the reason in the note. Silent disqualification is how a lead gets worked twice.
# Qualification — {Lead} at {Company}
**Score {n}/100 · {band} · temperature {hot|warm|cold}**
{One sentence verdict.}
## BANT
| Dimension | Finding | Confidence |
|-----------|---------|------------|
| Budget / Authority / Need / Timing | … | Confirmed \| Inferred \| Unknown |
## MEDDIC
| Metric | Economic buyer | Criteria | Process | Pain | Champion |
## Evidence
Engagement: {opens, clicks, doc views} · Activity: {last touch, stage age}
## Gaps → tasks
| Gap | Question to ask | Due |
## Written to Lynqu
- Score {n}, temperature {t}
- Stage: {from} → {to} (or unchanged, and why)
- Note saved · {n} tasks openedFor a segment, add a ranked table — lead, score, band, single biggest gap — so the rep can work top-down.
Operate your entire lead motion — research → capture → manage → follow up → measure — straight from Claude, ChatGPT, or Cursor. Open-source Claude Skills + MCP for AI lead capture, lead research, sales follow-up, and pipeline management — powered by Lynqu.
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