General guidelines for AI Skill Kit

reference australia Updated Sep 24, 2026 1 min read na-skill-kit-guidelines.md
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Building a custom skill in AI Skill Kit follows five phases, from scoping the skill to deploying and monitoring it.

AI Skill Kit skill-building phases

Think about the process of building a custom skill as having the following phases:

  1. Scoping the skill
  2. Collecting data and creating a dataset
  3. Developing the prompt
  4. Conducting a performance evaluation
  5. Deploying and monitoring the skill

[Omitted image "MMASSET0020509-general-guidelines-now-assist-skill-kit-landing.png"] Alt text: Five phases of building a custom skill, from scoping through deployment and monitoring.

Adopt a data-driven mindset while you build a skill. A data-driven mindset means emphasizing evidence-based decisions and minimizing speculation about how a large language model (LLM) can interpret the specific wording of a prompt.

Using AI Skill Kit requires intermediate prompt engineering skills. If you're not a developer, build that knowledge before you work with the tool.

Tooltips throughout the product explain individual fields and options.

To keep duties separate, a developer or generative AI practitioner creates the skill and then publishes it. After the skill is published, a AI Admin Hub activates the skill so that it appears at the configured touch points and is available to use.

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