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Sales Qualification

Community
cnfeat
sales-qualification

Help users qualify sales leads effectively. Use when someone is wasting time on bad leads, struggling with low conversion rates, needs to build a qualification framework, or wants to improve their discovery process.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill namesales-qualification
Stars
55
Forks
6
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cnfeat on GitHub. Read the source before you install it.

Installation

Install the Sales 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/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/sales-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.

Use it in TypingMind

Enable Sales 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 Sales 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 Sales 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.

Sales Qualification

Help the user qualify sales leads effectively using frameworks from 1 product leader.

How to Help

When the user asks for help with sales qualification:

  1. Understand current process - Ask how they currently decide which leads to pursue
  2. Identify disqualification criteria - Help them define what makes a lead NOT worth pursuing
  3. Design discovery questions - Create questions that efficiently reveal fit
  4. Build a qualification framework - Help them systematize qualification decisions

Core Principles

Most sales problems are qualification problems

Jen Abel: "It's qualification. Qualification because if you spend your time on the wrong leads, that equates to a zero." If conversion rates are low, the issue is often pursuing leads that were never going to close rather than poor sales execution.

"No" is a successful outcome

Jen Abel: "I am a qualification crazy person. I will not get in on another call with someone because on the first call it's either a yes or a no, there's no in between." The goal of early calls is to determine fit, not to convince. A clear "no" saves time that can be spent on better leads.

Disqualify aggressively

The best salespeople are rigorous about disqualification. They'd rather pursue fewer, better-qualified opportunities than spread themselves thin across mediocre leads.

First call should determine fit

If a lead requires multiple calls before you can determine whether they're a fit, your discovery process is too slow. Qualification should happen early and decisively.

Time is the scarcest resource

Every hour spent on a bad lead is an hour not spent on a good one. The math of sales productivity favors aggressive filtering.

Questions to Help Users

  • "What percentage of your pipeline actually closes? Is the problem quality or execution?"
  • "What are the characteristics of your best customers? How quickly can you identify those traits?"
  • "What questions do you ask in discovery that reveal whether a lead is qualified?"
  • "When was the last time you disqualified a lead on the first call?"
  • "What would need to be true for you to walk away from a lead earlier?"

Common Mistakes to Flag

  • Pursuing all inbound - Treating every lead as equally worthy of time
  • Slow qualification - Taking multiple calls to determine what could be known in one
  • Hope selling - Continuing to pursue leads you know aren't a fit because the pipeline looks thin
  • No disqualification criteria - Not having explicit reasons to say no
  • Confusing activity with progress - Measuring calls made rather than qualified opportunities created

Deep Dive

For all 2 insights from 1 guest, see references/guest-insights.md

Related Skills

  • product-led-sales
  • sales-compensation
  • pricing-strategy

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sales Qualification AI skill do?

Help users qualify sales leads effectively. Use when someone is wasting time on bad leads, struggling with low conversion rates, needs to build a qualification framework, or wants to improve their discovery process.

Why use Sales Qualification on TypingMind?

Because you install it once and use it with any model. Sales 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 Sales Qualification in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/sales-qualification. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sales 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 Sales Qualification?

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

Is the Sales Qualification AI skill free?

Yes. It is published on GitHub by cnfeat 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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