There is a version of your work where the repetitive parts run themselves.

Not the strategic thinking. Not the judgment calls. Not the stakeholder conversations.

But the recurring tasks. The weekly intel scans. The gap analyses. The supplier ESG reviews. The regulatory monitoring. The tasks that eat two or three hours every time you sit down to do them.

That version exists. It is called a skill. And this week I want to explain exactly what that means and how to build yours.

A skill is a set of written instructions you give Claude that tells it how to perform a specific task.

Not a vague instruction like "help me with ESG research." A precise, structured instruction set that explains:

·  What the task is
·  Where to look
·  How to filter and prioritize
·  What the output should look like

You write it once. Claude follows it every time you trigger it. The task runs the same way, to the same standard, in a fraction of the time.

Think of it as writing a work instruction for a very capable colleague. Except the colleague never forgets, never gets tired, and never does it differently on a Friday afternoon.

Most AI content out there is built for marketing teams. Sales. Finance. The skills that exist in Claude's built-in library are generic at best.

None of them know what an ESRS data gap looks like. None of them understand why CBAM pricing matters this week. None of them know how to prioritize a supplier ESG risk based on your company's specific exposure profile.

Your professional judgment is what makes a skill powerful. And only you can put it in.

The sustainability professionals who will get ahead with AI are not the ones who use it most. They are the ones who encode their expertise into it.

The infographic below walks through the full process. Here is the short version:

1.  Pick the right workflow.

Repeatable, time-consuming, has your professional logic in it.

Test: can you describe how you do this in numbered steps? If yes, it is skill-able.

2.  Extract your method.

Before you open Claude, write down how you actually do the task.

What is the task? Where do you look? How do you filter? What does the output look like?

3.  Build with skill-creator.

Open Claude. Trigger /skill-creator.

Tell it you want to build a new skill and paste your notes from step 2.

Answer the clarification questions. It handles the rest.

4.  Test before installing.

Try 3 ways to trigger it. Does it fire every time?

Try 1 unrelated task. Does it stay quiet?

Read the output. Does it match your professional logic?

5.  Install and run.

Settings → Skills → + → Upload.

/your-skill anywhere in Claude. The skill runs.

The Monday Intelligence Brief skill
The skill I use every Monday morning to monitor ESG regulations, policy developments, and industry news. Fully annotated so you can adapt it to your own industry and topics in about five minutes.

The video
A full walkthrough of the skill running, plus exactly how to repurpose it for your context in about five minutes.

This is not the only skill worth building. It is just the first one I am sharing publicly. More are coming.

P.S.  The June AILab cohort is fully booked. Two people had to step out and we have 2 seats left. If building with AI at this level is where you want to be, this is your window.
ailab.sustainos.io

Zyad Hatquai  |  SustainOS  |  sustainos.io
Move from chatting with AI to executing with AI.