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Product Led Sales

Community
cnfeat
product-led-sales

Help users implement product-led sales motions. Use when someone is transitioning from pure PLG to sales-assisted, defining PQLs, building sales handoff processes, or trying to expand self-serve users into enterprise contracts.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill nameproduct-led-sales
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 Product Led Sales 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/product-led-sales
  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 Product Led Sales 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 Product Led Sales 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 Product Led Sales 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.

Product-Led Sales

Help the user implement product-led sales motions using frameworks from 2 product leaders.

How to Help

When the user asks for help with product-led sales:

  1. Understand the current state - Ask about their existing PLG motion and sales infrastructure
  2. Define the trigger criteria - Help them identify what signals indicate a user is ready for sales outreach
  3. Design the handoff - Create smooth transitions from self-serve to sales-assisted
  4. Align incentives - Ensure product and sales teams are working toward the same goals

Core Principles

PLS converts usage into sales opportunities

Elena Verna: "Product-led sales converts the usage that you've generated via self-serve into a sales opportunity and it attaches a salesperson to close a much larger contract." PLS is a distinct motion that sits between PLG and traditional sales, using product usage data to identify and prioritize sales opportunities.

Use data signals for outreach

Hila Qu: "How the product led funnel work for us is... our sales team get that data signal, they may send an email and reach out and say, 'Hey, I saw you were checking it out. How can I help?'" Product usage signals should trigger personalized sales outreach, not generic sequences.

Define Product Qualified Accounts (PQAs)

Product-led sales requires new metrics like PQAs and PQLs (Product Qualified Leads) that measure product engagement rather than marketing engagement. These signals are more predictive of conversion than traditional MQLs.

Sales should help, not sell

The initial sales outreach in a PLS motion should offer assistance based on observed behavior, not push for an immediate sale. The user has already experienced the product - sales adds value by solving specific expansion needs.

Know when to transition

There's a natural ceiling for self-serve revenue (typically $10K-$15K). Product-led sales helps capture the value of users who need contracts larger than what credit cards support.

Questions to Help Users

  • "What user behaviors in your product correlate most strongly with eventual conversion to paid?"
  • "At what usage level do users typically need capabilities beyond your self-serve tier?"
  • "How will your sales team know which users to prioritize for outreach?"
  • "What does your sales team say that adds value beyond what users can do self-serve?"
  • "How do you prevent sales outreach from feeling intrusive to users who prefer self-serve?"

Common Mistakes to Flag

  • Treating PLS like traditional sales - Using high-pressure tactics with users who already have product experience
  • No clear trigger criteria - Reaching out to all active users instead of those showing expansion signals
  • Sales and product misalignment - Sales team incentivized on behaviors that conflict with product growth
  • Generic outreach - Not personalizing based on actual product usage data
  • Ignoring the self-serve path - Forcing users into sales when they'd convert faster on their own

Deep Dive

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

Related Skills

  • pricing-strategy
  • retention-engagement
  • sales-qualification

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 Product Led Sales AI skill do?

Help users implement product-led sales motions. Use when someone is transitioning from pure PLG to sales-assisted, defining PQLs, building sales handoff processes, or trying to expand self-serve users into enterprise contracts.

Why use Product Led Sales on TypingMind?

Because you install it once and use it with any model. Product Led Sales 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 Product Led Sales 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/product-led-sales. 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 Product Led Sales?

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 Product Led Sales?

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

Is the Product Led Sales 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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