carta-compensation-rolematcher

Name: carta-compensation-rolematcher
Availability: InStock
Author: Carta

Classify job titles and descriptions into the Carta Total Compensation taxonomy.

12|16|Updated Mar 26, 2026

Search Tags:#benchmarking #role mapping #job classification #compensation taxonomy #ctc taxonomy #hr classification

Ready to run

npx skills add https://github.com/carta/plugins --skill carta-compensation-rolematcher

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: carta-compensation-rolematcher
Source: https://github.com/carta/plugins/tree/main/plugins/carta-cap-table/skills/carta-compensation-rolematcher
Command: npx skills add https://github.com/carta/plugins --skill carta-compensation-rolematcher

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually classifying job roles into standardized compensation taxonomies is time-consuming, inconsistent, and error-prone, making accurate compensation benchmarking difficult for HR and finance teams.

Core Features & Use Cases

Single and Batch Role Classification: Map individual job titles, descriptions, or bulk CSV lists of roles to the CTC taxonomy's job area, focus, level, and track.
Standardized Consistency: Ensures all roles are classified using Carta's official compensation taxonomy rules to eliminate subjective categorization.
Use Case: An HR team can paste a list of 50 open roles into the skill to get a standardized classification table ready for compensation analysis, cutting hours of manual work.

Quick Start

Provide a job title, job description, or CSV list of roles to receive an instant standardized classification of each role's job area, focus, level, and track per the CTC taxonomy.

Frequently Asked Questions about carta-compensation-rolematcher

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

FAQPage Schema

How do I classify job titles into a standardized compensation taxonomy for benchmarking?▼

The CTC taxonomy classification maps each role to a specific job area, focus, level, and track, returning structured output with confidence scores to ensure consistent compensation benchmarking.

Can I process bulk job titles in a CSV file for compensation role mapping?▼

Yes, CSV file processing is supported for bulk role mapping, allowing HR teams to instantly classify large lists of open roles into the CTC taxonomy for compensation analysis.

What structured output does CTC taxonomy classification return for each role?▼

CTC taxonomy classification returns structured output containing the job area, focus, level, track, and confidence scores for each role, aligned to official classification guidelines.

Does role mapping support both single job titles and batch classification workflows?▼

Role mapping supports both single role input and numbered list batches, enabling HR teams to classify individual job titles or paste lists of 50 open roles for instant standardized taxonomy mapping.

Why should I use standardized job classification instead of manual role mapping for compensation analysis?▼

Standardized job classification eliminates subjective categorization and inconsistency by applying official CTC taxonomy rules, cutting hours of manual work and ensuring accurate compensation benchmarking.