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Skills overview

A skill is a specific, observable capability someone can develop — for example “Gives actionable feedback” or “Closes a support ticket cleanly.” Each skill defines how it’s assessed and what counts as mastery, so progress is measured consistently across your team.

Admire treats the skill as the unit of management. Almost everything a manager cares about ladders up to skills: a job description is really the set of skills a role requires, a performance review is a snapshot of skills demonstrated, and a development plan is a path to the next skill. Anchoring on skills works because skills:

  • Drive results — they directly affect whether goals are met.
  • Are in people’s control — unlike outcomes, someone can actually work on a skill.
  • Align everyone — individuals, managers, and AI share one clear definition of what good looks like.
  • Standardize and automate — because skills are defined consistently, AI can track them, coach on them, and handle the legwork.
  • A description of what the skill is and what good looks like. This captures the what, not the how — how to actually carry out the skill belongs in a linked playbook page, so an assessment can point straight to the guidance for closing a gap.
  • An assessment type — how you score it (see Assessment types).
  • A mastery bar — the score threshold (0–100) and, optionally, a number of consecutive sessions required to count as mastered. Requiring consecutive sessions makes mastery reflect consistency, not a one-off.

Skills can be organized hierarchically, with broader skills made up of narrower ones. A composite skill can roll up its children, letting you track both the big-picture capability and the specific behaviors underneath it.

You can build skills three ways. We recommend them in this order:

  1. Use AI over MCP — connect an AI tool and let it guide skill creation. It understands Admire’s structure and asks the right questions, so it’s the fastest way to a well-formed skill.
  2. Import from the Skills Library (Vault) and adjust — start from a pre-built, science-backed skill and tailor it to your context.
  3. Create directly — once you’re comfortable with how skills are structured, define one by hand.

You can edit a skill’s description and settings at any time, and disable a skill that’s no longer relevant without losing its history.

Skills are assigned to roles so the right people are expected to develop them — see Roles & Teams.