Lead Qualification logo

Lead Qualification

Organization
claude-office-skills
Lead Qualification

Score and qualify leads based on criteria and fit

Overview

Publisherclaude-office-skills
Repositoryskills
Skill nameLead Qualification
Stars
514
Forks
97
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by claude-office-skills on GitHub. Read the source before you install it.

Installation

Install the Lead Qualification AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/claude-office-skills/skills/tree/main/lead-qualification
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/claude-office-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/lead-qualification .claude/skills/claude-office-skills-lead-qualification
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lead Qualification in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Lead Qualification on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Lead Qualification is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Lead Qualification

Score and qualify leads based on defined criteria to focus sales efforts effectively.

Overview

This skill helps you:

  • Evaluate leads against qualification criteria
  • Score leads for prioritization
  • Identify deal-breakers and green flags
  • Recommend next actions
  • Maintain consistent qualification

Qualification Frameworks

BANT (Budget, Authority, Need, Timeline)

markdown
## BANT Qualification: [Lead Name]

### Budget (/25)
| Question | Answer | Score |
|----------|--------|-------|
| Defined budget? | [Yes/No/Unknown] | /10 |
| Budget range? | [$X - $Y] | /10 |
| Budget fits our pricing? | [Yes/No] | /5 |
**Budget Score**: [X]/25

### Authority (/25)
| Question | Answer | Score |
|----------|--------|-------|
| Decision maker? | [Yes/No/Influencer] | /10 |
| Who else involved? | [Names/Roles] | /5 |
| Sign-off process? | [Description] | /5 |
| Champion identified? | [Yes/No] | /5 |
**Authority Score**: [X]/25

### Need (/25)
| Question | Answer | Score |
|----------|--------|-------|
| Clear pain point? | [Description] | /10 |
| Impact of not solving? | [Description] | /10 |
| Using alternatives? | [Current solution] | /5 |
**Need Score**: [X]/25

### Timeline (/25)
| Question | Answer | Score |
|----------|--------|-------|
| Target implementation? | [Date/Quarter] | /10 |
| Urgency level? | [High/Medium/Low] | /10 |
| Trigger event? | [Description] | /5 |
**Timeline Score**: [X]/25

---
**Total BANT Score**: [X]/100
**Qualification**: [Qualified / Needs Work / Not Qualified]

MEDDIC (Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion)

markdown
## MEDDIC Qualification: [Lead Name]

### Metrics
**Business impact they expect**:
- [Metric 1]: [Current] → [Target]
- [Metric 2]: [Current] → [Target]

### Economic Buyer
**Person with budget authority**:
- Name: [Name]
- Title: [Title]
- Access: [Direct/Indirect/None]

### Decision Criteria
**How they'll evaluate solutions**:
1. [Criterion 1] - Weight: [%]
2. [Criterion 2] - Weight: [%]
3. [Criterion 3] - Weight: [%]

### Decision Process
**Steps to purchase**:
1. [Step 1] - Owner: [Name] - Timeline: [Date]
2. [Step 2] - Owner: [Name] - Timeline: [Date]
3. [Step 3] - Owner: [Name] - Timeline: [Date]

### Identify Pain
**Core problem**:
[Description of the pain point]

**Implications of not solving**:
[Business impact]

### Champion
**Internal advocate**:
- Name: [Name]
- Influence level: [High/Medium/Low]
- What they gain: [Personal win]

---
**MEDDIC Coverage**: [X]/6 elements confirmed
**Deal Health**: [Strong / At Risk / Weak]

GPCTBA/C&I (Goals, Plans, Challenges, Timeline, Budget, Authority, Consequences & Implications)

markdown
## GPCTBA/C&I: [Lead Name]

### Goals
What are they trying to achieve?
- [Goal 1]
- [Goal 2]

### Plans
How do they plan to achieve it?
- [Current plan]

### Challenges
What's stopping them?
- [Challenge 1]
- [Challenge 2]

### Timeline
When do they need to achieve this?
- Target: [Date]
- Urgency: [High/Medium/Low]

### Budget
What resources are allocated?
- Amount: [Range]
- Approved: [Yes/No/Pending]

### Authority
Who makes the decision?
- Decision Maker: [Name]
- Influencers: [Names]
- Process: [Description]

### Consequences (Negative)
What happens if they don't solve this?
- [Consequence 1]
- [Consequence 2]

### Implications (Positive)
What happens when they succeed?
- [Benefit 1]
- [Benefit 2]

Lead Scoring Model

Fit Score (Demographics)

markdown
## Fit Scoring Criteria

### Company Fit (50 points)
| Criterion | Points | Lead Value | Score |
|-----------|--------|------------|-------|
| Industry | /15 | [Industry] | |
| Company Size | /15 | [Employees] | |
| Revenue | /10 | [Revenue] | |
| Geography | /10 | [Location] | |
**Company Fit**: [X]/50

### Contact Fit (50 points)
| Criterion | Points | Lead Value | Score |
|-----------|--------|------------|-------|
| Title/Role | /20 | [Title] | |
| Department | /15 | [Dept] | |
| Seniority | /15 | [Level] | |
**Contact Fit**: [X]/50

**Total Fit Score**: [X]/100

Engagement Score (Behavioral)

markdown
## Engagement Scoring

### Website Activity
| Action | Points | Occurrences | Score |
|--------|--------|-------------|-------|
| Pricing page view | 10 | [X] | |
| Demo request | 25 | [X] | |
| Content download | 5 | [X] | |
| Blog visit | 2 | [X] | |

### Email Engagement
| Action | Points | Occurrences | Score |
|--------|--------|-------------|-------|
| Email opened | 1 | [X] | |
| Link clicked | 3 | [X] | |
| Replied | 10 | [X] | |

### Event Participation
| Action | Points | Occurrences | Score |
|--------|--------|-------------|-------|
| Webinar attended | 15 | [X] | |
| Meeting booked | 25 | [X] | |

**Total Engagement Score**: [X]/100

Output Format

Lead Qualification Report

markdown
# Lead Qualification: [Company/Contact]

## Summary
| Metric | Value |
|--------|-------|
| **Fit Score** | [X]/100 |
| **Engagement Score** | [X]/100 |
| **BANT Score** | [X]/100 |
| **Overall** | [X]/100 |

## Qualification Status
🟢 **QUALIFIED** / 🟡 **NEEDS NURTURING** / 🔴 **NOT QUALIFIED**

## Key Findings
### ✅ Green Flags
1. [Positive indicator]
2. [Positive indicator]

### ⚠️ Yellow Flags
1. [Concern that needs addressing]
2. [Missing information]

### ❌ Red Flags
1. [Deal-breaker or major concern]

## Gaps to Address
| Gap | Question to Ask | Priority |
|-----|-----------------|----------|
| [Unknown area] | [Specific question] | High |
| [Unknown area] | [Specific question] | Medium |

## Recommended Next Steps
1. [Immediate action]
2. [Follow-up action]
3. [Long-term action]

## Disqualification Criteria Check
- [ ] Below minimum company size
- [ ] Outside target geography
- [ ] No budget authority
- [ ] Timeline > 12 months
- [ ] Already using competitor with lock-in

Best Practices

Qualification Tips

  1. Ask open-ended questions: Get context, not just yes/no
  2. Verify, don't assume: Confirm information directly
  3. Document everything: Keep CRM updated
  4. Re-qualify regularly: Situations change
  5. Know when to walk away: Time is valuable

Common Mistakes

  • Qualifying too quickly
  • Ignoring red flags
  • Not identifying all stakeholders
  • Assuming budget = ability to buy
  • Forgetting to re-qualify over time

Limitations

  • Cannot access CRM data directly
  • Scoring requires defined criteria from user
  • Cannot verify provided information
  • Qualification is guidance, not guarantee
  • Human judgment still essential

Frequently asked questions

What does the Lead Qualification AI skill do?

Score and qualify leads based on criteria and fit

Why use Lead Qualification on TypingMind?

Because you install it once and use it with any model. Lead Qualification is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Lead Qualification in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/claude-office-skills/skills/tree/main/lead-qualification. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Lead Qualification?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Lead Qualification?

As many as you like. As long as a model supports skills, you can use Lead Qualification with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Lead Qualification AI skill free?

Yes. It is published on GitHub by claude-office-skills under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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