Skill Schema
A breakdown of the Skill fields we offer
Overview
This page details the Skill data that we provide through the Skill Enrichment API:
- Base Skill Fields: Common fields available to all customers by default
Base Skill Fields
These fields are available to all customers by default.
Identifiers
cleaned_skill
cleaned_skill
Description | The identifier for the skill. |
---|---|
Data Type | String |
Field Details
The skill that matches the API input skill
after it's passed through our internal skill cleaner.
Example
"cleaned_skill": "pyspark"
id
id
Description | A placeholder for a future PDL entity ID and currently the same value as cleaned_skill. |
---|---|
Data Type | String |
Field Details
Each PDL entity has an ID that allows you to join it to other values. In this case, you can join the id
field to the skills
field in the Person Schema and to the relevant_skills
field in the Job Title Schema.
Example
"id": "pyspark"
Skill Information
similar_skills
similar_skills
Description | A list of up to five other skills. |
---|---|
Data Type | Array [String] |
Field Details
Up to five of the most contextually-similar skills to the cleaned_skill
, determined using PDL’s global resume data.
Example
"similar_skills": ["apache spark", "hadoop", "hive", "machine learning", "pandas"]
relevant_job_titles
relevant_job_titles
Description | A list of up to five job titles. |
---|---|
Data Type | Array [String] |
Field Details
Up to five of the most contextually-similar job titles to the cleaned_skill
, determined using PDL’s global resume data.
Example
"relevant_job_titles": ["data scientist", ”data engineer", "senior data scientist", "senior data engineer", "big data engineer"]
Updated 6 months ago