Atlas jd review

Skill careerproof-labs/careerproof-skills/skills/atlas-jd-review

Analyze a job description for quality, bias, market competitiveness, salary benchmarks, and skills extraction. Use this skill whenever someone asks to review a JD, check a job posting for bias or inclusivity issues, benchmark salary for a role, analyze job requirements, optimize a job listing, check if compensation is competitive, or extract skills from a JD. Also triggers on "is this JD any good", "review my job posting", "is the salary competitive for this role", or "check for bias in this listing". This analyzes the JD itself — for matching candidates AGAINST a JD, use atlas-fit instead.From its SKILL.md

Install

npx -y skills add careerproof-labs/careerproof-skills --skill atlas-jd-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.4 KB, as published. Nobody here has run it

Atlas JD Review — Job Description Analysis

Analyze a job description for market competitiveness, clarity, bias, salary benchmarks, and skills extraction.

Workflow

Step 1: Get JD Text

Two options:

Paste JD: Ask the user to paste the job description text (minimum 50 characters)
From context: Call atlas_list_contexts then atlas_list_jds to find an existing JD

Step 2: Collect Optional Hints

Ask for optional context that improves accuracy:

Industry hint — e.g., "fintech", "healthcare", "SaaS" (improves salary benchmarks)
Location hint — e.g., "London", "San Francisco", "Singapore" (improves salary and market data)

Step 3: Confirm and Analyze (5 credits)

Confirm the 5 credit cost, then call atlas_start_jd_analysis with:

jd_text — The job description text (min 50 chars)
include_live_search — Set to true for real-time salary and market data (recommended)
industry_hint — If provided
location_hint — If provided

This is synchronous — results return directly.

Step 4: Present Results

Present the analysis organized by section:

Market Competitiveness

How this JD compares to similar roles in the market
Salary benchmark ranges for the role/location

Clarity & Structure

Clarity score and readability assessment
Suggestions for improving JD structure

Bias & Inclusivity

Flagged language that may deter diverse candidates
Gender-coded or exclusionary terms
Recommendations for more inclusive language

Skills & Requirements

Extracted required skills and qualifications
Nice-to-have vs must-have classification
Whether requirements are realistic for the seniority level

Salary Benchmarks

Market salary ranges for the role
Comparison to posted compensation (if included in JD)
Regional variations

Step 5: Next Steps

After presenting the analysis, offer:

Create a hiring context: /atlas-onboard to start recruiting for this role
Deeper market research: /atlas-report for a full talent market landscape report
Workforce intelligence: /atlas-chat for follow-up questions about the role market

Credit Cost

Action	Cost
JD Analysis with live search	5 credits

Tips

JD text must be minimum 50 characters
include_live_search=true adds real-time salary and market benchmarks — always recommended
Industry and location hints significantly improve salary accuracy — always ask for them
Great for checking JDs before posting — catches bias, unclear requirements, and uncompetitive compensation
For existing JDs in a context, pull text from atlas_list_jds to save the user from pasting
This is a one-shot analysis — for ongoing JD iteration, use /atlas-chat to discuss improvements