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Negotiating Compensation

OrganizationPopular
RefoundAI
negotiating-compensation

Help users navigate the end-to-end negotiation process for product and engineering roles, from initial recruiter calls to evaluating startup equity and final offer signing.

Overview

PublisherRefoundAI
Repositorylenny-skills
Skill namenegotiating-compensation
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 Negotiating Compensation 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/negotiating-compensation .claude/skills/negotiating-compensation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Negotiating Compensation 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 Negotiating Compensation 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 Negotiating Compensation 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.

Negotiating Tech Compensation

Master the art of benchmarking, intelligence gathering, and collaborative negotiation to maximize your total rewards.

Help the user with negotiating tech compensation using insights from 1 guests and posts across Lenny's Podcast and Newsletter.

How to Help

  1. Benchmark your value - Map your current and target roles to standardized job levels and percentile data to find your true market range.
  2. Gather interview intelligence - Use specific questions during the interview process to uncover team priorities and the company's internal budget bands.
  3. Deploy deflection scripts - Provide exact wording to avoid sharing salary expectations early and instead pivot the conversation to the company's budget.
  4. Evaluate the total package - Analyze equity components like an investor while maximizing non-financial levers like work-life flexibility.

Core Principles

Gather Intelligence Early

From "The 10 commandments of salary negotiation": "Every recruiter worth their salt will ask about your salary expectations when you first start interviewing. Do not — I repeat, do not — give them a number. What to do instead: Ask for the range they’re budgeted for the role."

Start the negotiation during initial interviews by asking for the budgeted salary band instead of providing your own expectations.

Match Strategy to Company Philosophy

From "How much product managers make in the U.S., Europe, and Canada": "At Tesla, Microsoft, Nvidia, Apple, Meta, Google, and Netflix (the Magnificent 7), the starting base salary for a (non-APM) PM is $136,000, $156,000, $158,000, $158,000, $167,000, $199,000, and $343,000, respectively. Netflix and Tesla are low on equity, while Meta, Google, and Nvidia are quite high."

Identify if a company uses a high-cash model like Netflix or a high-equity model like Google to tailor your negotiation requests.

Leverage Level Jumps

From "How much product managers make in the U.S., Europe, and Canada": "The biggest salary jump happens going from L4 to L5 and M3 to M4. And then from VP to CPO."

Identify the 'jump' levels in standard frameworks, such as reaching L5 Senior, where you have the most leverage for a significant pay increase.

Value Domain Expertise Equitably

From "How much do U.S. product managers really make?": "You shouldn’t have to rise into management in order to increase your compensation. You’re equally or just as valuable not as a manager [but] as a domain expert. And that’s step one, understand that you’re really, really, really valuable as an IC."

Use level-specific data to prove that your value as a specialized domain expert is equivalent to that of a manager when requesting higher base pay.

Validate Offers Against Bands

From "The 10 commandments of salary negotiation": "Initial offer comes in low: The team may have felt that you have a lot of “room for growth.” In this case, my advice is to dig deeper and ask the interviewer to share feedback from folks who met you to fix any misconceptions before you ever negotiate."

Understand where an initial offer sits within the company's internal salary band to determine if you should push for a higher starting point or address performance feedback.

Prioritize Collaborative Problem Solving

From "The 10 commandments of salary negotiation": "Negotiating via email = MAJOR CRINGE and definitely a worse outcome. I know there are folks selling fill-in-the-blank templates out there. My advice if you want a meaningful/large increase is to have the conversation over the phone."

Avoid aggressive tactics and instead focus on building a collaborative relationship with your recruiter, ideally through phone discussions.

Maximize Base as a Foundation

From "Why cash is king": "While some may feel pressure to prioritize equity for potential long-term gains, salary can also serve as a key driver of financial growth. An engineering manager at a publicly traded company making $225K-$250K in the U.S. explained, 'Bonuses were structured as percentages of base salary,' highlighting how a strong salary can amplify overall compensation through bonuses and raises."

Focus on the base salary because it sets a higher floor for all future roles and amplifies the value of percentage-based bonuses and raises.

Templates & Frameworks

  • The 10 Commandments of Salary Negotiation (The 10 commandments of salary negotiation) - A sequential 10-step framework for negotiating compensation at tech companies, from first recruiter call through final ask
  • Salary Expectation Deflection Script (The 10 commandments of salary negotiation) - Exact wording to use when a recruiter asks about salary expectations early in the process
  • PM Salary Benchmark Table by Level (How much do U.S. product managers really make?) - A comprehensive salary benchmarking table showing base salary ranges for U.S. product managers across 10 levels, including percentile breakdowns (25th, 50th/med
  • Startup Equity Evaluation Checklist (The 10 commandments of salary negotiation) - Questions to ask when evaluating equity at a startup, treating yourself as an investor
  • Total Compensation Negotiation Levers Checklist (Why cash is king) - A comprehensive list of negotiable components beyond base salary and equity that job seekers should consider maximizing
  • Negotiation Sequencing Strategy (The 10 commandments of salary negotiation) - The correct order in which to negotiate compensation components
  • Interview Intel-Gathering Questions (The 10 commandments of salary negotiation) - Questions to ask during interviews to gather negotiation ammunition
  • PM Job Level Hierarchy for Compensation Benchmarking (How much do U.S. product managers really make?) - A standardized cascading hierarchy of PM job titles used as a proxy for job levels across companies, enabling valid cross-company salary comparisons
  • Initial Offer Interpretation Framework (The 10 commandments of salary negotiation) - How to interpret your initial offer level at a large company and determine your negotiation strategy
  • Compensation Evaluation Priority Framework (Why cash is king) - A hierarchy of what tech workers prioritize in compensation packages, based on 5,000+ survey responses, organized into three categories: salary, equity, and oth

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

Questions to Help Users

  • "What is your current functional role and standardized level (e.g., P4 Senior IC)?"
  • "Has the recruiter shared the specific budgeted salary band for this position yet?"
  • "Is the company a public tech giant or a private startup with illiquid equity?"
  • "Are you prioritizing immediate cash liquidity or long-term equity upside in this market?"
  • "What specific domain expertise do you bring that differentiates you from other candidates?"
  • "Have you received any feedback from the interview loop regarding your leveling?"

Common Mistakes to Flag

  • Sharing salary expectations first - This gives away your leverage before you know the company's actual budget for the role.
  • Negotiating primarily via email - Email lacks the nuance of voice and makes it harder to build the collaborative rapport necessary for a successful outcome.
  • Benchmarking by years of experience - Years of experience is a poor predictor of value compared to standardized job levels and functional impact.
  • Treating startup equity as a lottery ticket - Failing to ask for the strike price and total outstanding shares means you cannot accurately value the offer as an investor.

Deep Dive

For all 12 sourced insights from 1 guests, see references/guest-insights.md

Related Skills

  • Breaking Into Product
  • Pm Career Growth
  • Career Transitions
  • Building A Promotion Case

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 Negotiating Compensation AI skill do?

Help users navigate the end-to-end negotiation process for product and engineering roles, from initial recruiter calls to evaluating startup equity and final offer signing.

Why use Negotiating Compensation on TypingMind?

Because you install it once and use it with any model. Negotiating Compensation 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 Negotiating Compensation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RefoundAI/lenny-skills/tree/main/skills/negotiating-compensation. 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 Negotiating Compensation?

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 Negotiating Compensation?

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

Is the Negotiating Compensation 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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