Hiring Product Talent logo

Hiring Product Talent

OrganizationPopular
RefoundAI
hiring-product-talent

Help users identify, attract, and hire exceptional product managers and engineers by shifting from passive HR processes to a founder-led, high-intensity recruitment strategy.

Overview

PublisherRefoundAI
Repositorylenny-skills
Skill namehiring-product-talent
Stars
1.3K
Forks
170
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Hiring Product Talent 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.
  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/RefoundAI/lenny-skills.git /tmp/lenny-skills
mkdir -p .claude/skills
cp -r /tmp/lenny-skills/skills/hiring-product-talent .claude/skills/hiring-product-talent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hiring Product Talent 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 Hiring Product Talent 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 Hiring Product Talent 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.

Hiring World-Class Product Talent

Build a high-leverage product organization by sourcing, evaluating, and closing the top 1% of talent.

Help the user with hiring world-class product talent using insights from 21 guests and posts across Lenny's Podcast and Newsletter.

How to Help

  1. Step name - Define the specific 'spike' and business outcomes required for the role rather than seeking a generic title.
  2. Step name - Source high-caliber talent through personal, manager-led relationship building rather than automated tools.
  3. Step name - Design an interview process that indexes on raw intellect, execution slope, and mission-alignment.
  4. Step name - Close candidates using radical transparency, personalized offer decks, and deep involvement from the executive team.

Core Principles

Generalist Versatility

Anton Osika: "Being a generalist, I think much more important than it used to be. If I'm putting together a product team today, I would really obsess about getting as many skill sets as possible for each person I hire."

In the AI era, individuals who can span multiple disciplines effectively provide more value than narrow specialists, allowing teams to remain lean and fast.

Intellect over Experience

Dmitry Zlokazov: "Everyone is striving for talented, skillful, smart people. Revolut values way more raw intellect and this unquenched hunger to build things rather than experience."

Prioritize high cognitive ability and a relentless drive to build over traditional industry experience or specific years of PM history.

Outcome-Based Mandates

Lauren Ipsen: "I think it’s trying to work a little bit backwards and think about, what is the actual outcome that we are trying to solve for with this hire? Or are we just hiring a head of product because we feel like we need to hire a head of product? That’s so often what I see is the board’s telling me we need to hire a head of product and I don’t necessarily think that we do, or I’m not exactly sure what we need in this role."

Success requires defining the specific business outcomes and 'spikes' needed for a role rather than simply seeking a prestigious pedigree.

Holistic Closing

Luc Levesque: "Well, I think you reach a point in your career where you realize that hiring is the skill you now need to become world-class at because you're not no longer doing the work yourself. You're still of course involved and doing some of the work and getting your hands dirty, but the bulk of your team's success now will be the quality of the hires you make and you truly need to be world-class at that."

Closing high-impact candidates requires involving the entire executive team and even engaging with the candidate's family to build trust.

Job Descriptions as Marketing

From "Examples of great job postings": "You don’t have many opportunities to break through the noise, and considering the meh’ness of most job postings, putting extra effort into creating a remarkable (i.e. worth remarking about) job posting is a high ROI investment."

Treat job postings as high-leverage marketing assets that explain the product vision and the specific impact a candidate will have.

Founder Mentality

Gustaf Alstromer: "Most startups don't have most of the PMs being former founders, but I believe that was the case for the first 10 or 12 or 15 PMs at Airbnb. A lot of us were former founders. I think that that made a big difference for how you make decisions and how you get started on things."

Hiring former founders creates a culture of extreme ownership and a bias for action that is essential for early-stage success.

Templates & Frameworks

  • Three Signs You Need a Full-Time PM (When to hire your first product manager) - A diagnostic framework to evaluate whether it's time to hire your first product manager, based on three observable signals
  • Five Pillars of Early-Stage Hiring Success (Winning at early-stage hiring) - A framework of five consistent themes that separate startups that hire world-class people from those that struggle, distilled from interviews with successful ea
  • Ramp's Three PM Hiring Attributes (How Ramp builds product) - The three core attributes Ramp looks for in product hires, emphasizing slope over experience
  • Custom Economic Outcomes Notion Doc (Winning at early-stage hiring) - A Notion document template used by Vori to present candidates with a detailed economic case for joining the startup, used during the offer/closing stage
  • Elements of a Great Job Posting (Examples of great job postings) - A pattern language distilled from Lenny's analysis of five standout job postings, identifying the recurring elements that make them effective
  • Five PM Archetypes (Peter Deng) - A framework for categorizing product managers into five types to build balanced, complementary teams. Each person has a primary and secondary archetype.
  • Equity Preference Predictor Model (Why cash is king) - Logistic regression-based predictors of who is more likely to prioritize equity over salary, useful for founders crafting offers or recruiters segmenting candid
  • A++ Hiring Flywheel (Winning at early-stage hiring) - A compounding model showing how hiring great people early creates a self-reinforcing cycle of talent attraction

See references/artifacts.md for the full list with details.

Questions to Help Users

  • "Have you identified the specific 'spike' this role needs to solve for your current business bottleneck?"
  • "What percentage of your current sourcing comes from your team's direct personal networks versus inbound applications?"
  • "How are you testing for raw intellectual horsepower and 'execution slope' versus just checking for past titles?"
  • "Does your interview process include a high-leverage practical challenge to see their problem-solving in action?"
  • "What is the 'best-case scenario' vision you are selling to candidates to insulate them from higher financial offers elsewhere?"
  • "Are you involving the broader leadership team in the closing process for every finalist?"

Common Mistakes to Flag

  • Hiring for Pedigree Over Potential - Focusing on prestigious past companies often leads to hiring people who rely on established processes rather than those who can build from scratch.
  • Waiting Too Long to Bring Recruiting In-House - External agencies often prioritize closing speed over talent quality, leading to compromises in your early-stage team bar.
  • Over-hiring PM Headcount - Large PM organizations create coordination drag; keeping the team lean and focused on senior ICs maximizes leverage.
  • Neglecting the Offer Experience - Treating the offer as a formality rather than a high-touch sales process causes you to lose the best candidates at the finish line.

Deep Dive

For all 40 sourced insights from 21 guests, see references/guest-insights.md

Related Skills

  • Interviewing Evaluating Candidates
  • Org Design
  • Building Growth Team
  • Founding Exec Team

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 Hiring Product Talent AI skill do?

Help users identify, attract, and hire exceptional product managers and engineers by shifting from passive HR processes to a founder-led, high-intensity recruitment strategy.

Why use Hiring Product Talent on TypingMind?

Because you install it once and use it with any model. Hiring Product Talent 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 Hiring Product Talent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RefoundAI/lenny-skills/tree/main/skills/hiring-product-talent. 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 Hiring Product Talent?

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 Hiring Product Talent?

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

Is the Hiring Product Talent AI skill free?

Yes. It is published on GitHub by RefoundAI 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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