Agent skill

Hiring Product Talent

by RefoundAI in RefoundAI/lenny-skills

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.

MITAuto-check passedBusiness, Finance & HR

Install Hiring Product Talent

skills CLI
$ npx skills add RefoundAI/lenny-skills --skill hiring-product-talent -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install RefoundAI/lenny-skills hiring-product-talent --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hiring-product-talent .claude/skills/hiring-product-talent && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
hiring-product-talent
GitHub stars
1.4k
Token cost
~1.8k tokens
SKILL.md length
1,056 words
Files
3 (incl. references)
Skills in repo
76
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 4 steps: Step name - Define the specific 'spike'… → Step name - Source high-caliber talent… → Step name - Design an interview process… → …
  • Tasks that involve Recruiting and HR
  • SKILL.md covers How to Help, Core Principles, Templates & Frameworks and Questions to Help Users, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hiring Product Talent is an agent skill from RefoundAI/lenny-skills. 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.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/artifacts.md` and `references/guest-insights.md`).

It sits in Business, Finance & HR, covering Recruiting and HR. The repository describes itself as: 86 product management skills from Lenny's Podcast for Claude Code and AI agents. Hiring, user research, strategy, shipping, and more. The licence is MIT.

When your agent uses it

  • Tasks that involve Recruiting and HR

Example prompts

  • “/hiring-product-talent”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 13598cc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Hiring Product Talent loads about 1.8k tokens when it runs, and up to ~27k if it reads all its reference files. Until then it costs about 49 tokens; SKILL.md has 1,056 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~27k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from RefoundAI/lenny-skills at commit 13598cc, republished under its MIT licence (© RefoundAI). 1,056 words, ~1,811 tokens.

Download SKILL.mdSave it as .claude/skills/hiring-product-talent/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
hiring-product-talent
description
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.

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.

Show full SKILL.md (472 more words)Show less

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

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

© RefoundAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/hiring-product-talent of RefoundAI/lenny-skills.

  • SKILL.md
  • references/artifacts.md
  • references/guest-insights.md

Open the folder on GitHubat commit 13598cc

Compare with similar skills

Hiring Product Talent next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Hiring Product Talent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hiring Product Talent this skillRefoundAI/lenny-skills1.4k—~1.8kAutomated safety check: PassMIT
Get Jobagentenatalie/get-job.skill632—~1.7kAutomated safety check: PassCC-BY-NC-ND-4.0
Resume Reviewerweeelin98/ResumeDom173—~2.4kAutomated safety check: PassNone
Build Resume Portfolio Sitetao943/build-resume-portfolio-site195—~5.8kAutomated safety check: PassNone
Cyber Resume Reviewermubix/cyber-resume-reviewer-skill184—~2.9kAutomated safety check: PassMIT
Repo To Resume TailorSsabby1/repo-to-resume-tailor127—~1.8kAutomated safety check: PassMIT

Similar skills

  • Get Job

    agentenatalie/get-job.skill

    实习.skill / get-job.skill:从岗位调研、简历改写到分轮次面试准备的全流程求职 skill。适合找工作、投实习、校招、秋招、春招、暑期实习、社招、跳槽、转行、跨专业求职、留学生求职,以及产品经理、运营、市场、咨询、AI 产品、AI Coding、数据分析、技术岗等目标岗位准备。

    632 GitHub stars~1.7k tokensUpdated 1 mo ago
    Business, Finance & HRAuto-check passed
  • Resume Reviewer

    weeelin98/ResumeDom

    Build, assess, review, and tailor evidence-backed US-market technology resumes for computer-science interns and new graduates.

    173 GitHub stars~2.4k tokensUpdated 15 days ago
    Business, Finance & HRAuto-check passed
  • Build Resume Portfolio Site

    tao943/build-resume-portfolio-site

    A skill your agent uses when turning resume materials and an optional job description into verified, approved content and a runnable React + Vite resume or portfolio site, or when redesigning an…

    195 GitHub stars~5.8k tokensUpdated 10 days ago
    Business, Finance & HRAuto-check passed
  • Cyber Resume Reviewer

    mubix/cyber-resume-reviewer-skill

    Review, tailor, score, or rewrite IT and cybersecurity resumes.

    184 GitHub stars~2.9k tokensUpdated 20 days ago
    Business, Finance & HRAuto-check passed
  • Repo To Resume Tailor

    Ssabby1/repo-to-resume-tailor

    Analyze a full code repository and generate one resume-ready project description grounded in repository evidence.

    127 GitHub stars~1.8k tokensUpdated 6 mo ago
    Business, Finance & HRAuto-check passed
  • This skill helps users extract GitHub repository project details and contributor contact information using keywords, stars, and update dates.

    6.1k GitHub starsUsed in 1 repo~1.9k tokens
    Business, Finance & HRAuto-check passed

More from RefoundAI/lenny-skills

All 76 skills in this repo
  • Customer Interviews

    RefoundAI/lenny-skills

    Help users conduct high-impact customer interviews that move beyond surface-level feature requests to identify root emotional frustrations and specific causal triggers.

    1.4k GitHub stars~1.7k tokensUpdated 2 mo ago
    Auto-check passed
  • Time Energy Management

    RefoundAI/lenny-skills

    Help users master their personal output by shifting from reactive scheduling to intentional energy management, internal trigger mastery, and proactive boundary setting.

    1.4k GitHub stars~1.6k tokensUpdated 2 mo ago
    Auto-check passed
  • User Onboarding Activation

    RefoundAI/lenny-skills

    Help users reach their first moment of core value by optimizing the first-run experience, removing friction, and aligning product design with psychological triggers.

    1.4k GitHub stars~2.1k tokensUpdated 2 mo ago
    Auto-check passed
  • Acquisition Channels

    RefoundAI/lenny-skills

    Help users identify unique distribution advantages and master the lifecycle of acquisition channels to build a sustainable engine for growth and retention.

    1.4k GitHub stars~2.2k tokensUpdated 2 mo ago
    Auto-check passed
  • AI Assisted Prototyping

    RefoundAI/lenny-skills

    Help users build functional product prototypes from natural language or visual mocks using AI coding tools.

    1.4k GitHub stars~1.2k tokensUpdated 2 mo ago
    Auto-check passed
  • AI Evals

    RefoundAI/lenny-skills

    Help users build robust infrastructure for measuring, monitoring, and iterating on AI product performance using human, code-based, and LLM-as-a-judge methodologies.

    1.4k GitHub stars~1.7k tokensUpdated 2 mo ago
    Auto-check passed

Questions about Hiring Product Talent

What does Hiring Product Talent 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. Hiring Product Talent is an agent skill from RefoundAI/lenny-skills. 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.

When should I use Hiring Product Talent?

Hiring Product Talent fits situations like: tasks that involve Recruiting and HR.

How do I install Hiring Product Talent in Claude Code?

Run `npx skills add RefoundAI/lenny-skills --skill hiring-product-talent -a claude-code`. Or copy the skill folder (skills/hiring-product-talent in RefoundAI/lenny-skills) into .claude/skills/hiring-product-talent in your project. Claude Code loads it when a task matches its description.

How do I install Hiring Product Talent in Codex?

Run `npx skills add RefoundAI/lenny-skills --skill hiring-product-talent -a codex`. Or copy the skill folder (skills/hiring-product-talent in RefoundAI/lenny-skills) into .agents/skills/hiring-product-talent in your project. Codex loads it when a task matches its description.

Can I use Hiring Product Talent in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add RefoundAI/lenny-skills --skill hiring-product-talent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hiring-product-talent, .gemini/skills/hiring-product-talent, .github/skills/hiring-product-talent and .opencode/skills/hiring-product-talent in your project.

What does Hiring Product Talent need to run?

SKILL.md names no scripts, command-line tools or credentials: Hiring Product Talent is instructions for the agent only.

Does Hiring Product Talent access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Hiring Product Talent safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Hiring Product Talent use?

Hiring Product Talent is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hiring Product Talent use?

About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 25k tokens, read only when the agent opens those files.

What are the alternatives to Hiring Product Talent?

Skills that share tags, products or a category with Hiring Product Talent: Get Job (agentenatalie/get-job.skill, 632 stars), Resume Reviewer (weeelin98/ResumeDom, 173 stars), Build Resume Portfolio Site (tao943/build-resume-portfolio-site, 195 stars) and Cyber Resume Reviewer (mubix/cyber-resume-reviewer-skill, 184 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hiring Product Talent?

RefoundAI (a GitHub organization) maintains it in RefoundAI/lenny-skills, which has 1,382 GitHub stars. The repository holds 76 skills in this directory. The repository was last updated on July 16, 2026.

Source: RefoundAI/lenny-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.