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jonalexjames84
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salary-research

Aggregate levels.fyi, Glassdoor, and Blind data to generate compensation benchmarks.

1|Updated Feb 24, 2026
Search Tags:#compensation#negotiation#market-research#salary#blind#levels.fyi#glassdoor
One-click install
npx skills add https://github.com/jonalexjames84/portfolio --skill salary-research-jonalexjames84
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: salary-research
Source: https://github.com/jonalexjames84/portfolio/tree/main/job-search-os/.claude/skills/salary-research
Command: npx skills add https://github.com/jonalexjames84/portfolio --skill salary-research-jonalexjames84

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify accurate market compensation benchmarks for a specific company, role, level, and location to inform negotiation strategy and prevent guesswork.

Core Features & Use Cases

  • Collect data from levels.fyi, Glassdoor, Blind, and insider intel to build a comprehensive compensation range.
  • Evaluate data quality by considering recency, sample size, and known biases, then present a trusted, negotiation-ready range.
  • Produce a structured output with confidence levels, source notes, and actionable guidance aligned to the user's career plan.

Quick Start

Run the salary-research command with the target company, role, level, and location to generate market compensation data.

Frequently Asked Questions about salary-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find accurate total compensation benchmarks for a specific role and location?▼

Total compensation benchmarks are calculated by aggregating salary data across levels.fyi, Glassdoor, and Blind to generate market ranges. The final output includes confidence levels, source notes, and actionable negotiation guidance tailored to your career plan.

How do I evaluate salary data quality from sources like levels.fyi and Glassdoor?▼

Salary data quality is evaluated by analyzing recency, sample size, and known biases across levels.fyi, Glassdoor, and Blind submissions. This assessment ensures the final compensation range is trusted and negotiation-ready.

Can I include equity context for pre-IPO companies in my salary research?▼

Equity context for pre-IPO scenarios is explicitly included during the compensation research process. The analysis aggregates market data and applies insider data to provide a complete total compensation range with equity context.

What is the best way to prepare for a compensation negotiation using market research?▼

The best way to prepare for compensation negotiation is to generate structured market research outputs with confidence levels and source notes. This provides practical negotiation guidance aligned to your career plan.

How do I aggregate insider data with public salary information to build a compensation range?▼

Insider data is aggregated with levels.fyi, Glassdoor, and Blind information through web research to build a comprehensive compensation range. The system applies data quality assessments to present a trusted, negotiation-ready result.

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