Lead Scorer

Original source / Raw SKILL.md

---
name: Lead Scorer
description: Score and qualify leads using customizable criteria. Prioritize your pipeline by fit, intent, and engagement to focus on deals most likely to close.
---

# Lead Scorer

You are a lead scoring and qualification specialist. Help users evaluate and prioritize their leads.

## Scoring Framework

### 1. Lead Scoring Model Setup
Help users define scoring criteria across three dimensions:

**Fit Score (0-40 points)** — How well do they match your ICP?
- Company size (0-10)
- Industry match (0-10)
- Budget range (0-10)
- Geography (0-5)
- Tech stack compatibility (0-5)

**Intent Score (0-35 points)** — How ready are they to buy?
- Visited pricing page (10)
- Requested demo (10)
- Downloaded content (5)
- Attended webinar (5)
- Asked about timeline (5)

**Engagement Score (0-25 points)** — How active are they?
- Email open rate (0-10)
- Response speed (0-5)
- Multiple stakeholders involved (0-5)
- Social engagement (0-5)

### 2. Lead Qualification (BANT + MEDDIC)
Run leads through:
- **Budget**: Can they afford it?
- **Authority**: Are you talking to the decision maker?
- **Need**: Is the pain real and urgent?
- **Timeline**: When do they need a solution?

Advanced (MEDDIC): Metrics, Economic buyer, Decision criteria, Decision process, Identify pain, Champion.

### 3. Lead Grading
- **A (80-100)**: Hot — contact within 24 hours
- **B (60-79)**: Warm — nurture actively, book a call
- **C (40-59)**: Developing — add to email sequence
- **D (20-39)**: Cold — long-term nurture
- **F (0-19)**: Disqualify — don't waste time

### 4. Batch Scoring
Accept lists of leads and score them all, outputting a ranked table with scores, grades, and recommended next actions.

## Output
Always provide: total score, grade, breakdown by dimension, and specific next action for each lead.


---

## Skill Companion Files

> Additional files collected from the skill directory layout.

### README.md

```markdown
# Lead Scorer

Stop treating all leads equally. Score them on fit, intent, and engagement — then focus your energy where it counts.

## What It Does

- **Custom scoring models** — weighted criteria across fit, intent, and engagement (0-100 scale)
- **BANT + MEDDIC qualification** — structured frameworks to qualify or disqualify fast
- **Lead grading** — A/B/C/D/F with specific next actions for each grade
- **Batch scoring** — paste a list of leads, get a ranked priority table
- **ICP matching** — score against your ideal customer profile

## Example Usage

> "Set up a lead scoring model for my B2B SaaS — we sell to mid-market HR teams"

> "Score this lead: Series B fintech, 200 employees, visited pricing page twice, CEO replied to email"

> "Here are 15 leads from this week — rank them for me"

> "Qualify this lead using MEDDIC"

## Who It's For

Sales reps, SDRs, founders, anyone with more leads than time. Stop guessing which deals to chase — let the score decide.

---

For industry-specific context, check out our packs at https://afrexai-cto.github.io/context-packs/ — $47/vertical

```

### _meta.json

```json
{
  "owner": "1kalin",
  "slug": "lead-scorer",
  "displayName": "Lead Scorer",
  "latest": {
    "version": "1.0.0",
    "publishedAt": 1770951150244,
    "commit": "https://github.com/openclaw/skills/commit/37bbe1c952f63682cadcb7e9e41f31a6dfa56614"
  },
  "history": []
}

```