Individual skill
role-redesign-for-ai
Redesign a job role that AI now does a large part of — deliberately, instead of quietly expecting the same headcount to absorb 140% output. Use when AI has changed what a role spends time on, when writing a revised role charter or job description post-AI, when a team asks 'what is my job now', or when planning capacity after AI adoption. Produces a role redesign: the task inventory before/after, the redefined core of the role, new expectations and metrics, and the growth-path implications. For hiring rubrics use hiring-rubric; for org-wide skills planning use ai-upskilling or career-ladder-map.
skills/role-redesign-for-ai/SKILL.md
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- Last checked
- Nov 9, 2026
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- Nov 10, 2026
- License
- MIT
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SKILL.mdcore · 6,283 bytes
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# Role Redesign For AI Skill
When AI absorbs 40% of a role's tasks, orgs default to the worst option: say nothing, and let expectations quietly inflate until the human is doing their old job *plus* supervising the machine, evaluated by standards from neither. This skill makes the redesign explicit — what the role stops doing, what it now owns, and what "good" means after the shift.
## What This Skill Produces
- A **task inventory, before/after**: what AI took, what it created, what stayed human — with hours
- The **redefined core**: the role's new centre of gravity, written as a charter
- **New expectations & metrics**: what performance means now (and which old metrics are dead)
- **Level and growth-path implications** — including the junior-pipeline problem, faced honestly
## Required Inputs
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