32 Claude Skills for AI Adoption at Work, From the First Pilot to the Habit

What these skills are

One team's AI adoption, from the first pilot to the habit, as installable Claude skills.

This pack is for L&D and enablement people asked to train others on AI, change leads and independent consultants who run AI adoption work.

The skills follow AI adoption in the order the work happens, in seven stages, from the brief that names one observable work change per role to the quarterly review of what is still in use.

The red line: Adoption is something people choose. Claude prepares the plan, the sessions and the evidence, a named person makes every call, nobody's use of AI is tracked, scored or ranked, and no saving is claimed that the organisation's own evidence does not show.

Each skill keeps one method inside, with the inputs it needs, where it breaks, a fixed output template, a finish line and the next skill to run.

Nothing builds a list, score or ranking of who uses AI. Missing data becomes a bracketed placeholder or an open question, and no productivity result is promised.

Download all 32 skills. One zip: ready-to-install skill zips, readable SKILL.md files, and the sources behind every method. Free, no signup. Download the zip · Browse on GitHub

The 32 skills you get

The set follows AI adoption in seven stages: find where it helps, start small, teach it, support managers, make it safe to question, measure what changed and sustain it.

1 · Find where it helps

1. AI Adoption Brief

Use when: The instruction is "get everyone using AI" and nobody has said what anyone should do differently on Monday

Output: One observable work change per role, what stops as well as starts, scope, sponsor and decision owner, the first check with the people affected

2. AI Starting Point Survey

Use when: You are about to plan training for people you have never asked

Output: 10 to 15 anonymous questions, a minimum group size you set, a never-asked list, a team-level summary template

3. AI Use Case Map

Use when: People say "I do not see what I would use it for"

Output: Recurring tasks role by role, where AI helps and where it does not, what is off limits, who checks, the first three use cases to try

4. AI Adoption Barrier Diagnosis

Use when: People are not using it and the first proposal is another training

Output: Competing explanations with evidence for and against, the smallest respectful check, a support matched to each barrier

2 · Start small

5. AI Pilot Plan

Use when: The choice is between everyone at once and a pilot that proves nothing

Output: The one question the pilot answers, a prediction written first, measures with definitions, stop and rollback conditions, the review rule

6. Team Involvement Plan

Use when: The rollout is "consulted" after the decision and people can tell

Output: Decided, open and unknown, who is affected, three concrete questions, channels with a private route, a ledger of what was heard

7. Adoption Capacity Check

Use when: People are told to learn AI on top of a full week

Output: Learning and practice time per role, current load, the gap, what can pause or move, options with trade-offs

3 · Teach it

8. AI Basics Curriculum

Use when: The AI training on offer is a tool tour and a prompt list that dates in a month

Output: A short path by role built on four judgements, a practice in each unit, what is left out and why, a refresh date

9. Hands-On AI Session Plan

Use when: The last AI session was a webinar where nobody touched the tool

Output: A timed plan where each person brings one real task, a demonstration, a practice round, a compare-and-check round, a no-screens fallback

10. AI Practice Tasks

Use when: People left the session keen and never opened the tool again

Output: Three to five tasks from the team's own work, a first attempt before any model answer, a common exception, a check of the work

11. AI Output Check

Use when: People were taught to prompt and nobody was taught to check

Output: A one-page check a person runs before using AI output for one type of work, with a stop condition and who signs

12. AI Job Aid

Use when: People need the answer in the middle of the task, not a module

Output: One card for one task: when to use AI, what to give it, what to check, what never goes in, who to ask

13. AI Train-the-Trainer Kit

Use when: One person cannot teach everyone and the internal trainers are a few weeks ahead of the room

Output: Delivery learning points, a teach-back plan, practice rounds that rise in difficulty, a readiness conversation with no score

4 · Support managers

14. Manager AI Kit

Use when: The manager never mentions AI, or mentions it only as a target

Output: What the manager says, shows, asks and removes, and what a manager never does

15. Team AI Agreement

Use when: Some people use AI for everything, some refuse, and nobody has said what is fine

Output: Agreed uses per task, a never-put-in list, what checking means, whose name is on the work, a review date

16. Manager Follow-Up Guide

Use when: People come back from the AI session to a full diary and a manager who never asks

Output: For one session: the conversation before, the first real task after, the conversation after, check-ins, a barrier log read in aggregate

17. Freed Time Agreement

Use when: The time AI saves quietly turns into more tasks and longer days

Output: A team conversation guide and a one-page record of what takes less effort, what stops, where freed time goes, a workload check date

5 · Make it safe to question

18. AI Rules Explainer

Use when: The policy is eleven pages long and people still do not know what they can paste

Output: Your organisation's own AI rules as can, cannot and ask first, with real task examples and who to ask

19. AI and Jobs Answer

Use when: "Will this replace my job?" is in the room at every session

Output: The questions people are asking, and for each what is decided, open and unknown, and who gives the answer

20. AI Concern Statement

Use when: Someone can see a problem and cannot say it without sounding against progress

Output: One person's concern in their own words: what I saw, what I think it means, what could follow, what I am asking for

21. Speak-Up Practice Round

Use when: The concern is written and the conversation with the sponsor is tomorrow

Output: A short rehearsal one turn at a time, comments on the choices made, a revised opening, the next step they choose

22. Team Challenge Invitation

Use when: The only people who speak are the ones who already agree

Output: An invitation to question the plan before it is final, questions sent ahead, spoken, written and private routes, a response commitment

23. Concern Response Log

Use when: Concerns were collected and nobody ever heard what happened to them

Output: For each concern: the substance checked, what changed, what did not and why, owners and dates, a shareable update

6 · Measure what changed

24. AI Value Measures

Use when: The only measure anyone has proposed is "hours saved", self-reported

Output: Four to six measures agreed before the pilot, each with a definition, a source and a baseline, one balancing measure for workload

25. AI Adoption Evidence Review

Use when: The dashboard says most people logged in and the sponsor reads that as adoption

Output: Use, usefulness and side effects kept apart at team level, counts beside percentages, what the evidence cannot show

26. AI Use Stories

Use when: The numbers are thin and the examples in circulation are demos

Output: A consent note, an interview guide, three to five anonymous accounts of real use, each marked as one case

27. AI Adoption Executive Update

Use when: Executives want one number for AI and the honest answer is more useful

Output: One page, bottom line first: what changed, the evidence, what it does not show, concerns raised, the decision asked

7 · Sustain it

28. AI Champions Network

Use when: Three enthusiasts answer everyone's questions in their own time and are about to stop

Output: A charter for a volunteer peer network: the role, protected time, how people join and leave, the route to the sponsor

29. Shared Prompt Library

Use when: Good prompts live in private chats and the shared folder holds forty untested ones

Output: The entry format, how entries are proposed, tested, updated and retired, where the library lives, the review rhythm

30. Local Adaptation Review

Use when: Teams are quietly changing the agreed way of working with AI

Output: One team's variation: what changed and why, the safeguard it must keep, a bounded test with a rollback, a versioned note

31. AI Rollout Decision

Use when: The pilot went well with volunteers and the sponsor wants everyone on it next month

Output: The pilot's evidence and its limits, how the next teams differ, options with trade-offs, pause rules, dissent on record

32. AI Habit Review

Use when: The launch was six months ago and half the team is back to the old way

Output: A quarterly review: the original need, current evidence, what changed in the tool, what to keep, simplify, refresh or retire

Where to start

The quality bar

Every skill in the pack holds the same standard:

• One method, applied properly: each skill uses the real mechanics of its method (the questions, the levels, the order of the pass), not a generic “gather, analyse, recommend”
• It tells you where it breaks: every skill says when not to use it and which skill in the guide fits instead
• Same shape every time: a fixed output template, a short “done when” check, and a decision that a named person makes
• No invented facts: no made-up adoption rates, savings, quotes or findings. Missing data becomes a bracketed placeholder or an open question, and no productivity result is promised
• Team level only: nothing builds a list, score or ranking of who uses AI. Surveys are anonymous, results are reported by team, small groups are merged or suppressed, champions are volunteers and stories are told with consent
• Rules and law stay with their owners: the skills explain rules your organisation already has. Every legal, data or employment point ends with “check with a qualified adviser”
• The red line: Adoption is something people choose: Claude prepares the plan, the sessions and the evidence, a named person makes every call, nobody's use of AI is tracked, scored or ranked, and no saving is claimed that the organisation's own evidence does not show

Who made this

Polar Bear is a people ops consultancy for human-size teams (20 to 200 people). Built by ex-McKinsey founders with a dream to make AI work for People, not instead of them. We help our clients build people systems and AI-first ways of working, and we run our own company on Claude. This pack is the free, self-serve version of how we work.

This pack is for whoever is accountable for the adoption work. If you run an L&D, enablement or change team and want it working this way, with AI carrying the plans, the session materials and the evidence reviews so people do the choosing and a named person makes every call, that is what we build with clients.

I help L&D, enablement and change leads turn AI adoption into work people choose, with nobody's use tracked. Find 30 min together

Install in Claude Code

Two lines, and every skill in the pack loads at once.

/plugin marketplace add polar-bear-org/claude-skills
/plugin install ai-adoption-pack@polar-bear-skills

Using Claude on the web instead? Download the zip and upload each skill from its install folder under Customize → Skills.

How to use it: pick the workflow that matches your week

Start with the adoption brief: it turns “get everyone using AI” into one observable work change per role. After that, bring the thing that is in front of you.

Find where it helps

The instruction is “get everyone using AI” and nothing else.

AI Adoption Brief → AI Starting Point Survey → AI Use Case Map → AI Adoption Barrier Diagnosis

Start with a pilot

The choice is between everyone at once and a pilot that proves nothing.

AI Pilot Plan → Team Involvement Plan → Adoption Capacity Check

Teach on real tasks

The training on offer is a tool tour and a prompt list.

AI Basics Curriculum → Hands-On AI Session Plan → AI Practice Tasks → AI Output Check → AI Job Aid → AI Train-the-Trainer Kit

Give managers a part

People come back from the session to a manager who never asks.

Manager AI Kit → Team AI Agreement → Manager Follow-Up Guide → Freed Time Agreement

Make it safe to question

The rules are unclear, jobs are on people's minds and concerns go nowhere.

AI Rules Explainer → AI and Jobs Answer → AI Concern Statement → Speak-Up Practice Round → Team Challenge Invitation → Concern Response Log

Measure what changed

The sponsor wants hours saved and the dashboard only shows logins.

AI Value Measures → AI Adoption Evidence Review → AI Use Stories → AI Adoption Executive Update

Keep the habit

The pilot went well and the question is what happens next.

AI Champions Network → Shared Prompt Library → Local Adaptation Review → AI Rollout Decision → AI Habit Review

Install it in five minutes

In Claude Code

/plugin marketplace add polar-bear-org/claude-skills
/plugin install ai-adoption-pack@polar-bear-skills

In Claude.ai or Claude Desktop

1. Download the pack and unzip it: its skills folder holds all 32 skills (https://meet-polar-bear.com/skills/ai-adoption-pack.zip). In Claude, click your name at the bottom left, then Settings.
2. Under Customize, choose Skills. Click Add, then Upload a skill.
3. Drag the skill's file into the box, or click to browse. You can add several at once.
4. In the pack folder, open skills, then the skill you want, and select its SKILL.md (adopt-ai-adoption-brief is a good first one).
5. Claude shows the skill's name and what it does. Click Upload.
6. The skill opens on its own page. Its toggle should be on.
7. Try it in a new chat: type / and the skill's name, then say what you need.

Then try one

• Run adopt-ai-adoption-brief on the instruction from leadership and the roles in scope: [paste them here]
• Run adopt-barrier-diagnosis on your notes from team leads about why people are not using the tool: [paste them here]
• Run adopt-ai-rules-explainer on your organisation's AI policy: [paste it here]

Questions people ask

What is in the Claude Guide for AI Adoption pack?

32 Claude skills that follow AI adoption in seven stages: find where it helps, start small, teach it, support managers, make it safe to question, measure what changed and sustain it. Each skill keeps one method inside, with a fixed output template.

How do I install these Claude skills?

In Claude Code, two lines install all 32 at once. In Claude.ai or Claude Desktop, download the zip, open Settings, Skills, Add, and upload the skills you want. Either way it takes about five minutes.

Do I need Claude Code to use them?

No. The skills work in Claude.ai, Claude Desktop and Claude Code. In the app you upload them yourself; in Claude Code one command installs the whole pack.

Do the skills work with ChatGPT or other assistants?

They are built as Claude Skills, and installing them is a Claude feature. Each one is a plain Markdown file, so you can read it and reuse the method elsewhere, but it will not load and trigger by itself outside Claude.

Does Claude track who is using AI?

No. Adoption is something people choose. Claude prepares the plan, the sessions and the evidence, and a named person makes every call. Nobody's use of AI is tracked, scored or ranked, and no saving is claimed that the organisation's own evidence does not show.

Is the pack free?

Yes. It is free to use inside your company and in client work, and not for resale. There is no signup: the download and the install command are on this page.

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