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AI Skill Library Register

Stop 50 people building the same skill. Log every shared skill with an owner, review it before it's published, and retire what nobody uses.

What's inside this template

Who it's for

AI Operations Leads, CIOs, Claude Team and Enterprise owners and champions leads who look after the skills people share across the organisation

When to use

When shared skills start multiplying; when you switch publishing to review; before you make a skill installed by default or required; every month to check usage and retire what nobody uses

Key benefit

One trusted library instead of dozens of copies: every skill has an owner, a tested version and a reason to exist, and the best ones show up as measured outcomes

Sections included

  • Library details
  • Library rules
  • Skill register
  • Other accelerators
  • Intake questions
  • Review checklist
  • Duplicate and merge log
  • Retirement and offboarding
  • Monthly review
  • Outcome log
  • Next skills to build (ICE)
  • Steering group lines
  • Implementation notes

Complete template content

Prefer Google Docs? Open this template in Google Docs to make a copy and customise it directly. Open in Google Docs →

To use this register, copy it with the "Copy page" button above or open the Google Doc version. Read the companion guide to running a company skill library for the reasoning behind each rule.

AI skill library register

A free template for AI Ops leads who run a shared library of AI skills. Use one copy for the whole organisation. Log every skill other people rely on, review each one before it's published, and retire what nobody uses. It works with any AI tool that supports shared skills, and maps to Claude's Plugins & skills settings on Team and Enterprise plans.

0. Library details

  • ☐ Organisation:
  • ☐ Library owner (AI Ops lead):
  • ☐ Reviewers (at least two, not the authors):
  • ☐ Publishing setting (Open / Requires review / Off):
  • ☐ Security scanning on (Enterprise)? Yes / No / Not available
  • ☐ Monthly review date:

1. Library rules

  • Every published skill has one named owner: a team or a person.
  • Authors never review their own skills.
  • Test before publishing: three to five test prompts, covering when the skill should trigger, when it shouldn't and one ambiguous case.
  • Merge duplicates rather than publishing both. Credit both authors.
  • Default to "available to install". Use "installed by default" or "required" only when a whole group needs it.
  • Scope specialist skills to the group that uses them.
  • Retire skills with no uses in 90 days, no owner, or a process that has changed.

2. Skill register

One row per skill that other people rely on. Status: Proposed, In review, Changes requested, Published or Retired.

Skill Work it does Owner Audience Version Status Offered as Touches Last tested
Example (fictional): Month-end variance commentary Drafts variance commentary from the management accounts Finance systems manager Finance group v3 Published Installed by default Finance connector (read only); no scripts 14 Oct

3. Other accelerators

Claude's library holds the skills you've provisioned. List everything else people could reuse here: plugins, prompts, apps, agents, guides and training, including things that live outside Claude or that some people can't reach yet. Type: Plugin, Prompt, App, Agent, Guide or Training.

Name Type Owner Where it lives Who can access it How to request access Registered in Kowalah?
Example (fictional): Bid writing plugin Plugin Sales operations manager Claude, sales group only Sales group Ask the sales operations manager Yes

Registering entries with the Kowalah plugin. In Claude, run /my-ai-tools from the Kowalah plugin to record the skills, plugins, connectors and projects your session uses in your organisation's AI register. You see the list and choose what's shared; it records names and IDs, not contents. To find what colleagues have already built, ask Claude "have we done this before?" and it searches your organisation's accelerators and Kowalah's library. Recording is free.

4. Intake questions

Ask the submitter to answer these in the submission note.

  1. What work does this skill do, in one sentence?
  2. Who is it for: everyone, or one team?
  3. What does it touch: connectors, files, scripts or websites?
  4. How did you test it? Paste your test prompts and what happened.
  5. Who will own it once it's published?
  6. Does it replace or overlap an existing skill?

5. Review checklist

Security

  • ☐ Every file read: the SKILL.md, any referenced files and any scripts.
  • ☐ Scripts do only what the description says.
  • ☐ No network calls, or URLs to unexpected domains.
  • ☐ No hard-coded passwords, API keys or tokens.
  • ☐ Connectors and other tools it calls are listed and expected.
  • ☐ No instructions to hide actions, skip safeguards or send data elsewhere.
  • ☐ Scan result checked (pass, warn or fail), where scanning is available.

Quality

  • ☐ Triggers for the right requests and stays quiet for unrelated ones.
  • ☐ Doesn't clash with, or steal triggers from, existing skills.
  • ☐ Follows its own steps.
  • ☐ Output is good enough for the process owner to sign off.

Fit

  • ☐ Not a duplicate, or merged with the existing skill.
  • ☐ Owner named and has agreed.
  • ☐ Audience and "offered as" setting agreed.

Decision: ☐ Approve ☐ Request changes ☐ Decline. Reviewer: ______ Date: ______ Note: ______

6. Duplicate and merge log

Duplicate skills found Kept Merged in Retired Authors credited Date

7. Retirement and offboarding

  • Monthly: list skills with no uses in 90 days. Ask each owner: update, keep or retire?
  • When an owner leaves or changes role: reassign the skill within two weeks, or retire it.
  • When a process changes: the process owner flags every skill it affects.
  • Keep the last version and the reason in this register, even after you remove a skill from the library.

8. Monthly review

In Claude, usage analytics show uses and cost per use for each skill on Team and Enterprise plans.

Skill Uses (30 days) Cost per use Feedback Action (keep, update, merge or retire)

9. Outcome log

Record a skill here when it changes how a process runs.

Skill Process Baseline Result How measured Verified by process owner?
Example (fictional): Month-end variance commentary Monthly management accounts About one day for first-draft commentary About two hours Previous quarter's timesheets Yes

10. Next skills to build (ICE)

Score each opportunity for impact, confidence and ease, each from 1 to 10, and multiply them for a score out of 1,000. Build the highest first.

Opportunity Team Impact Confidence Ease ICE score
Example (fictional): Bid review checklist Sales 7 8 6 336

11. Steering group lines

  • Published skills: [number] (up [number] this month), each with a named owner.
  • Merged or retired this month: [number].
  • Most used skill: [name], [number] uses. Outcome: [result].
  • Waiting for review: [number], oldest [number] days.
  • Decision needed: [for example, make a skill required for all staff].

12. Implementation notes

  • Start with the skills people already share. Don't commission new ones until the register exists.
  • Keep skill source files in one place with version history, such as a Git repository, so you can roll back a bad change.
  • Name reviewers from outside the authoring team.
  • This template isn't security or legal advice. For skills that touch personal or client data, involve your security team and DPO.

Get started

How to use this register

01

Log what's already shared

Pull the skills people already share from your admin inventory into the register. Note duplicates and anything with no owner.

02

Set the rules and reviewers

Agree the library rules, name at least two reviewers from outside the authoring teams and set publishing to review.

03

Review every submission

Use the intake questions and the review checklist: security first, then quality and fit. Approve, request changes or decline.

04

Merge and publish

Keep the best version of each duplicate, credit both authors, then publish to the right group with the right default.

05

Review monthly

Check uses, cost per use and feedback. Retire what nobody uses, log outcomes and score the next skills to build with ICE.

Questions

Frequently asked questions

Common questions about running a company skill library

What is a company skill library?
The approved, shared set of AI skills your organisation stands behind, each with a named owner. Personal experiments stay personal; the library holds the skills other people rely on.
Does this only work with Claude?
No. The register works with any AI tool that supports shared skills. It maps to Claude's Plugins & skills settings on Team and Enterprise plans, which include an inventory, a review queue and version history.
Who should review skills?
At least two people from outside the team that wrote the skill. In Claude, Owners and anyone whose role can manage libraries can approve submissions, and nobody can approve their own.
Does security scanning replace the review checklist?
No. Scanning looks for skills built to misuse their access. It won't catch a skill that's simply wrong, so check quality and fit as well.
How do we decide which skills to build next?
Score each opportunity with ICE: impact, confidence and ease, each from 1 to 10, multiplied for a score out of 1,000. Build the highest first and log the result as an outcome.
When should a skill be retired?
When it has had no uses in 90 days, its owner has left without a replacement, or the process it supports has changed. Keep the last version and the reason in the register.

Ready when you are

Want help setting up your skill library?

Kowalah is a UK Anthropic Implementation Specialist. We help AI Ops leads set up a company skill library, run the first review cycle and turn the best skills into measured outcomes. If you'd like help, book a conversation.

Book a Conversation