What this dimension is

What can I actually do, and what am I building?

My current skills, my skill gaps relative to where I want to go, and my active investment in closing those gaps. Not just what I have. What I am growing into.

Key questions

  • What do I actually know how to do, in plain terms a non-specialist would understand?
  • What is becoming obsolete in what I do?
  • What am I learning right now, and how am I learning it?
  • Am I building the skills that match where I want to go, or the ones I already had?
  • Do I have a name for the work that I have done well across different settings?

How this showed up at IACW 2026

The Capability sessions of IACW 2026 converge on one uncomfortable claim: skills have a shorter shelf life than careers, and the people who navigate well are the ones who design for that. Seven sessions had Capability as their primary focus, and thirteen touched it. The dominant message across the week was the move from titles to skills, and from passive accumulation of credentials to deliberate, evidence-based skill development.

Frameworks for this dimension

Skills-first thinking

  • Skills-First Approach · A career strategy that organises around named skills rather than job titles, and prioritises the skills the labour market is actively rewarding right now.
  • Skills Self-Audit · A recurring three-bucket review of your skills, Protect, Evolve, Let Go, that catches obsolescence early and keeps career investment pointed at what the market still rewards.
  • Skills-in-Use CV Pattern · A writing pattern for CV bullets, cover-letter sentences, and interview answers. Name the skill, the action it enabled, and the context it produced impact in.
  • Capability + Outputs + Evidence · A three-part rewrite formula for any CV bullet, motivation paragraph, or LinkedIn line that needs to pass a skills-based or AI-assisted screen.

Working with AI as a skill

  • AI Use as a Skill · Four signals panels increasingly look for in AI-assisted work: intentional use, judgment, transparency, appropriateness. The differentiator is no longer whether you used AI, it is how.
  • Capability Frontier · A four-level maturity scale for AI use, plotted across capability areas rather than across job levels: Explorer, Adopter, Practitioner, Builder.
  • Four Prompting Principles · Four dimensions for structuring any prompt to a general-purpose AI assistant: give context, iterate, calibrate the freedom you give the model, and specify the output format.
  • When to Build an AI Agent · A four-criterion decision rule for choosing between a custom AI agent and the standard chat. Build only when the task warrants the upfront cost.
  • How to Build a Career AI Agent · A field-by-field walkthrough for setting up a custom AI agent for a recurring career-development task. Most of the work happens in the instructions field.
  • Five AI Tool Categories · A taxonomy that separates the AI tools you can use during a job application by what they are actually good at, so you reach for the right one at the right step.

Mentoring as a capability practice

  • How to Approach a Mentor · A structure for the first message you send to a potential mentor: clarify your objective, look beyond hierarchy, write a brief specific message with a hook, propose a light bounded commitment.
  • Seven-Step Mentoring Conversation Cycle · A structured sequence for running a single mentoring conversation: establish trust, align expectations, listen actively, foster self-reflection, share with permission, define actions, evaluate learning.
  • Mentoring vs Adjacent Practices · A clarifier for what mentoring is and is not, by contrast with three close cousins: coaching, counselling, and consulting. Plus the three internal sub-types of mentoring.
  • Reverse Mentoring Playbook · A playbook for mutual learning between a junior mentor and senior leader. Five Principles, REAL Goals, and a five-step Action Plan to start without institutional permission.
  • On-the-Job Learning · A structured way to make onboarding, reassignment, parental leave replacement, and partial handovers into designed learning events. Mentoring Plan Map plus a Skills + Mindset + Toolkit prep frame.

Behavioural science layer

  • COM-B Model · A behavioural-science diagnostic for any goal that is not happening: identify which of Capability, Opportunity, or Motivation is the bottleneck before intervening.
  • EAST Framework · Four design principles for making a desired behaviour more likely to happen: Easy, Attractive, Social, Timely. Apply after COM-B has identified the bottleneck.

Translation across systems

  • UN-Honed Transferable Capabilities · Three capabilities UN staff systematically underestimate but that travel well to other IGOs: sensemaking in chaos, systems mindset, and professional agility under structural change.

Strengths and direction

  • Strengths Profile · A four-quadrant model that maps your abilities against energy and current use, with a sharp definition of what counts as a strength: it must energise you, you must perform it well, and you must use it.

Sessions where Capability was primary

If your situation is closer to

If your skills are clear but the inner state to use them is shaky, see Mindset. If you have the skills and want to convert them into a specific application, see Pursuit.