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Skill Extraction

Also available in workflows

This specialist runs in chat and as a node you can add to a workflow for repeatable, scheduled runs. See the Agent Catalog for how the two relate.

Overview​

Skills are often buried inside documents — a competency framework, a training catalog, a set of job descriptions. Skill Extraction reads a document you attach and pulls the skills out into a clean, structured list you can review, share, or import.

Ellie captures one row per skill, along with the details it finds: what the skill is, how it's categorized, its level, related skills, and where it applies. It extracts only what the document actually says, keeps the original wording, and leaves a field blank rather than guessing when the information isn't there.

What you'll need​

  • A document that describes skills — a competency framework, training catalog, job description, or similar. Word, PDF, spreadsheet, or plain text all work.
  • Attach the file to your message or add it as context. See Using files in chat and workflows for how attachments work.

How to ask​

Attach the document, then tell Ellie what to pull out.

Extract everything:

Extract the skills from the attached competency framework into a table.

Focus on specific details:

Pull every skill in this training catalog, with its category and level
where the document states them.

What you get​

A downloadable spreadsheet with one row per skill and columns for:

  • Title and description
  • Category and subcategory
  • Level
  • Prerequisites and related skills
  • Applications, industry, and references

Fields are left blank where the document doesn't provide them, so you can see at a glance what's missing.

Tips​

  • The clearer the source structure (headings, bullets, tables), the cleaner the result.
  • Nothing is invented — a blank field means the detail wasn't in the document.
  • For a very large library, split it across a few documents and run each in turn.
  • Review and tidy the list before importing it, or feed it straight into Skill Harmonization to remove duplicates.