Agent skill

Negotiating Compensation

by RefoundAI in RefoundAI/lenny-skills

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.

MITAuto-check passedBusiness, Finance & HR

Install Negotiating Compensation

skills CLI
$ npx skills add RefoundAI/lenny-skills --skill negotiating-compensation -a claude-code

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

GitHub CLI
$ gh skill install RefoundAI/lenny-skills negotiating-compensation --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/negotiating-compensation .claude/skills/negotiating-compensation && 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
negotiating-compensation
GitHub stars
1.4k
Token cost
~2k tokens
SKILL.md length
1,142 words
Files
3 (incl. references)
Skills in repo
76
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 4 steps: Benchmark your value - Map your current… → Gather interview intelligence - Use… → Deploy deflection scripts - Provide… → …
  • 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

Negotiating Compensation is an agent skill from RefoundAI/lenny-skills. 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.

Its SKILL.md is about 2k 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

  • “/negotiating-compensation”

Workflow steps

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

  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…
  3. Deploy deflection scripts - Provide exact wording to avoid sharing salary expectations early and instead pivot the conversation to the…
  4. Evaluate the total package - Analyze equity components like an investor while maximizing non-financial levers like work-life flexibility.

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

Negotiating Compensation loads about 2k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 49 tokens; SKILL.md has 1,142 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
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~11k

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). 1,142 words, ~2,012 tokens.

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

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.

Show full SKILL.md (484 more words)Show less

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

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

© 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/negotiating-compensation of RefoundAI/lenny-skills.

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

Open the folder on GitHubat commit 13598cc

Compare with similar skills

Negotiating Compensation 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.

Negotiating Compensation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Negotiating Compensation this skillRefoundAI/lenny-skills1.4k—~2kAutomated safety check: PassMIT
Get Jobagentenatalie/get-job.skill625—~1.7kAutomated safety check: PassCC-BY-NC-ND-4.0
Resume Reviewerweeelin98/ResumeDom164—~2.4kAutomated safety check: PassNone
Build Resume Portfolio Sitetao943/build-resume-portfolio-site195—~5.8kAutomated safety check: PassNone
Cyber Resume Reviewermubix/cyber-resume-reviewer-skill183—~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。

    625 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.

    164 GitHub stars~2.4k tokensUpdated 13 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 8 days ago
    Business, Finance & HRAuto-check passed
  • Cyber Resume Reviewer

    mubix/cyber-resume-reviewer-skill

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

    183 GitHub stars~2.9k tokensUpdated 18 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 5 mo ago
    Business, Finance & HRAuto-check passed
  • Candidate Status

    yc-software/recruiting

    Look up the full status of a recruiting candidate by name. An agent skill from yc-software/recruiting.

    116 GitHub stars~1.8k tokensUpdated 1 mo ago
    Business, Finance & HRAuto-check: notes

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 Negotiating Compensation

What does Negotiating Compensation 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. Negotiating Compensation is an agent skill from RefoundAI/lenny-skills. 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.

When should I use Negotiating Compensation?

Negotiating Compensation fits situations like: tasks that involve Recruiting and HR.

How do I install Negotiating Compensation in Claude Code?

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

How do I install Negotiating Compensation in Codex?

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

Can I use Negotiating Compensation 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 negotiating-compensation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/negotiating-compensation, .gemini/skills/negotiating-compensation, .github/skills/negotiating-compensation and .opencode/skills/negotiating-compensation in your project.

What does Negotiating Compensation need to run?

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

Does Negotiating Compensation 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 Negotiating Compensation 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 Negotiating Compensation use?

Negotiating Compensation 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 Negotiating Compensation use?

About 2k tokens (SKILL.md is roughly 8k 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 9.2k tokens, read only when the agent opens those files.

What are the alternatives to Negotiating Compensation?

Skills that share tags, products or a category with Negotiating Compensation: Get Job (agentenatalie/get-job.skill, 625 stars), Resume Reviewer (weeelin98/ResumeDom, 164 stars), Build Resume Portfolio Site (tao943/build-resume-portfolio-site, 195 stars) and Cyber Resume Reviewer (mubix/cyber-resume-reviewer-skill, 183 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Negotiating Compensation?

RefoundAI (a GitHub organization) maintains it in RefoundAI/lenny-skills, which has 1,377 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.