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Agent skill

Role Redesign For AI

by mohitagw15856 in mohitagw15856/pm-claude-skills

Redesign a job role that AI now does a large part of — deliberately, instead of quietly expecting the same headcount to absorb 140% output.

MITAuto-check passedEducation

Install Role Redesign For AI

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill role-redesign-for-ai -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills role-redesign-for-ai --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/role-redesign-for-ai .claude/skills/role-redesign-for-ai && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
role-redesign-for-ai
GitHub stars
1.4k
Token cost
~1.6k tokens
SKILL.md length
790 words
Files
1
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Redesign a job role that AI now does a large part of — deliberately, instead of quietly expecting the same headcount to absorb 140% output.

  • Works in 6 steps: Inventory tasks, not titles. List the… → Balance the hours honestly. Old role =… → Redefine the core. The role's new centre… → …
  • AI has changed what a role spends time on
  • SKILL.md covers What This Skill Produces, Required Inputs, Redesign Method and Output Format, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Role Redesign For AI is an agent skill from mohitagw15856/pm-claude-skills. 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…

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Education, covering Quizzes and assessments and Recruiting and HR. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • AI has changed what a role spends time on
  • Writing a revised role charter
  • Job description post-AI
  • A team asks what is my job now

Example prompts

  • “what is my job now”
  • “/role-redesign-for-ai”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Inventory tasks, not titles. List the role's tasks with weekly hours. Mark each: AI-absorbed (machine does it, human spot-checks) ·…
  2. Balance the hours honestly. Old role = 40h. Absorbed −12h, assisted −6h, created +8h → 10h of genuine capacity. The redesign decides where…
  3. Redefine the core. The role's new centre is what only it can be accountable for. Write the charter in outcomes: what this role owns…
  4. Rewrite the metrics. Kill throughput metrics the machine now drives (tickets closed, words shipped, drafts produced) — a human evaluated…
  5. Face the ladder problem. If AI absorbed the tasks juniors learned on, the pipeline to senior judgment is cut. The redesign states how the…
  6. Plan the conversation. The redesign lands as a change to someone's identity, not their task list. The rollout: the draft is discussed with…

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Role Redesign For AI loads about 1.6k tokens when it runs. Until then it costs about 156 tokens; SKILL.md has 790 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~156
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 790 words, ~1,557 tokens.

Download SKILL.mdSave it as .claude/skills/role-redesign-for-ai/SKILL.md (or your agent's skills folder).
name
role-redesign-for-ai
description
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.

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

Ask for (if not already provided):

  • The role today: title, level, the real task list (or the JD plus what the JD lies about)
  • What AI actually absorbed — observed, not vendor-promised: which tasks, how completely, with what verification burden
  • The person/team context: one person or a team of eight? tenure mix? current performance framework?
  • The org's honest intent: same headcount doing more? fewer people? higher-value work? (The redesign differs; refusing to pick is itself the problem — flag it.)

Redesign Method

  1. Inventory tasks, not titles. List the role's tasks with weekly hours. Mark each: AI-absorbed (machine does it, human spot-checks) · AI-assisted (human does it faster) · AI-created (new work: prompting, verifying, correcting, supervising agents) · Human-core (judgment, relationships, accountability, taste). The AI-created column is the one orgs forget — verification is work, and it's in this role now.
  2. Balance the hours honestly. Old role = 40h. Absorbed −12h, assisted −6h, created +8h → 10h of genuine capacity. The redesign decides where those hours go on purpose: deeper human-core work, wider scope, or reduced load. Unallocated capacity becomes silent expectation inflation within a quarter.
  3. Redefine the core. The role's new centre is what only it can be accountable for. Write the charter in outcomes: what this role owns (decisions, quality bars, relationships), what it supervises (the AI-done work — with the verification standard stated), what it no longer does (named, so nobody performs it out of habit or fear).
  4. Rewrite the metrics. Kill throughput metrics the machine now drives (tickets closed, words shipped, drafts produced) — a human evaluated on machine output is being evaluated on prompt luck. New metrics live where the human is: judgment quality (error catch rate on AI output, decision outcomes), the human-core outcomes, and supervision health. Pair with ai-assisted-performance-review for the review conversation itself.
  5. Face the ladder problem. If AI absorbed the tasks juniors learned on, the pipeline to senior judgment is cut. The redesign states how the next cohort develops: deliberate reps on AI-done tasks (inefficient on purpose), verification apprenticeships, or a redesigned junior role — "we'll figure it out" is how professions hollow out.
  6. Plan the conversation. The redesign lands as a change to someone's identity, not their task list. The rollout: the draft is discussed with the people in the role before it's announced, the "no longer does" list is framed as release not demotion, and comp/level implications are stated in the same meeting they're wondered about.
Show full SKILL.md (267 more words)Show less

Output Format

Role Redesign: [title] — post-AI charter

Intent (stated): [more output / fewer people / higher-value work — the org's actual answer]

Task inventory

TaskHrs beforeStatusHrs afterNote
(with the AI-created verification/supervision rows present)

Capacity math: [freed hours → where they were deliberately allocated]

The new charter: Owns: […] · Supervises (with verification standard): […] · No longer does: […]

Metrics: [dead metrics, named as dead · new metrics with definitions]

Ladder implications: [how juniors now develop the judgment this role's seniors have]

Rollout: [discussion-before-announcement plan · the comp/level statement · review date for the charter itself]

Quality Checks

  • The AI-created work (verification, supervision) appears in the inventory with hours
  • Freed capacity is explicitly allocated — no silent 140% expectation
  • At least one legacy throughput metric is explicitly killed
  • The "no longer does" list is concrete enough that someone could stop doing those things tomorrow
  • The junior-pipeline question is answered, not deferred
  • The org's intent (headcount vs scope) is stated in the document

Anti-Patterns

  • Do not redesign the role without the people in it — a charter discovered in a reorg deck creates the resistance it deserved
  • Do not keep old throughput metrics "for continuity" — they now measure the vendor, not the human
  • Do not treat verification as slack time — reviewing machine output at quality is skilled work with hours
  • Do not write "focus on higher-value work" without naming the work — that phrase is where redesigns go to die
  • Do not skip the intent question — a redesign that won't say whether headcount changes will be read as concealing it, correctly

Example Trigger Phrases

  • "Write a revised role charter."
  • "What is my job now?"
  • "Plan capacity after AI adoption."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/role-redesign-for-ai of mohitagw15856/pm-claude-skills.

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Role Redesign For AI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Categories

Questions about Role Redesign For AI

What does Role Redesign For AI do?

Redesign a job role that AI now does a large part of — deliberately, instead of quietly expecting the same headcount to absorb 140% output. Role Redesign For AI is an agent skill from mohitagw15856/pm-claude-skills. Redesign a job role that AI now does a large part of — deliberately, instead of quietly expecting the same headcount to absorb 140% output.

When should I use Role Redesign For AI?

Role Redesign For AI fits situations like: AI has changed what a role spends time on; writing a revised role charter; job description post-AI; A team asks what is my job now.

How do I install Role Redesign For AI in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill role-redesign-for-ai -a claude-code`. Or copy the skill folder (skills/role-redesign-for-ai in mohitagw15856/pm-claude-skills) into .claude/skills/role-redesign-for-ai in your project. Claude Code loads it when a task matches its description.

How do I install Role Redesign For AI in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill role-redesign-for-ai -a codex`. Or copy the skill folder (skills/role-redesign-for-ai in mohitagw15856/pm-claude-skills) into .agents/skills/role-redesign-for-ai in your project. Codex loads it when a task matches its description.

Can I use Role Redesign For AI in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill role-redesign-for-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/role-redesign-for-ai, .gemini/skills/role-redesign-for-ai, .github/skills/role-redesign-for-ai and .opencode/skills/role-redesign-for-ai in your project.

What does Role Redesign For AI need to run?

SKILL.md names no scripts, command-line tools or credentials: Role Redesign For AI is instructions for the agent only.

Does Role Redesign For AI access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Role Redesign For AI safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Role Redesign For AI use?

Role Redesign For AI is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Role Redesign For AI use?

About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Role Redesign For AI?

Skills that share tags, products or a category with Role Redesign For AI: Interview Kit Builder (w95/awesome-claude-corporate-skills, 244 stars), Lockedin Render Ideas (daypunk/LockedIn, 128 stars), Lockedin Render Interview (daypunk/LockedIn, 128 stars) and Agentsop Module Shape Selection (agentsope/SkillAlchemy, 436 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Role Redesign For AI?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.