Skillsize

Skillsize helps consultants, advisers and internal specialists turn a repeatable method into an AI skill. The vendor describes a no-code studio where a team supplies its brief, documents and decision criteria, then defines how an AI-assisted assessment should proceed. Reports and assessment packs are examples of the intended outputs.

Capture the method behind a deliverable

A skill can organize work into analysis, comparison, evaluation and synthesis stages. Skillsize's example uses a leadership due-diligence brief with CVs and referencing notes, followed by a rubric, risk assessment and partner review. It is an example of the product's approach, not evidence that a particular board or client has adopted it.

For a consultant, the useful starting point is a task the firm already understands: an assessment with defined inputs, a documented rubric and a clear output. Write down how a reviewer should weigh conflicting evidence before trying to automate that judgment. Those criteria give the resulting skill something concrete to follow. They also make it easier to spot an output that uses the right vocabulary but misses the method.

Keep people at decision points

Skillsize advertises human-in-the-loop stage gates. A reviewer can inspect evidence, challenge the analysis and approve a decision before the AI progresses. The site also describes traceable outputs and exports of documented methods for review or governance.

A sensible trial should include incomplete and contradictory inputs, with a reviewer checking whether the skill follows its rules. Skillsize says defined evidence and validation points are designed to reduce hallucination risk; it does not supply a measured error reduction on the page.

Reuse the skill across AI environments

The vendor lists exports for ChatGPT, Claude and Microsoft Copilot, with SKILL.md and MCP options. It also describes deployment as a GPT or custom action. Its proposed uses include internal workflows and client-facing assessments or diagnostics.

Portability is the appeal for a firm that wants to retain its own methodology as model providers change. Before deploying an exported skill, check how the target environment handles tools, review gates and access to the underlying documents. An export option alone does not establish identical behavior in every client.

Evaluate data handling before client work

Skillsize says it can strip personally identifiable information and pseudonymize sensitive client information before processing by underlying AI models. Treat that as a vendor-described control to examine with your own representative material, not a blanket privacy guarantee. The homepage does not publish subscription prices or specify retention terms. Confirm those details alongside the review process before using confidential engagement data.