What Agent Skills Are
What may the AI produce, what must it never decide, and what evidence lets a person approve the result? Use skills for repeatable work whose inputs, allowed actions, evidence, and failure handling can be stated clearly.
What You Will Be Able to Decide
- Explain what agent skills are in product and business terms.
- Apply this decision: Use skills for repeatable work whose inputs, allowed actions, evidence, and failure handling can be stated clearly.
- Recognise this material risk: a reusable instruction package silently carries unsafe assumptions into many future tasks.
- Use this review: Run one customer email through the intake tool with missing context, ambiguous intent, and a request that needs human approval.
A founder is deciding what to delegate to AI and what evidence to require before accepting the result. This lesson gives you a concrete question to take into a build brief, proposal review, or product decision.
What may the AI produce, what must it never decide, and what evidence lets a person approve the result? The course example is An AI assisted intake tool that turns customer emails into draft tasks; use it to decide what evidence would justify the choice before a builder implements it.
What Does What Agent Skills Are Mean for Your Product?
A founder is deciding what to delegate to AI and what evidence to require before accepting the result.
Use the illustrative service for this course (An AI assisted intake tool that turns customer emails into draft tasks) to make the choice concrete. What may the AI produce, what must it never decide, and what evidence lets a person approve the result?
Technical term
What Agent Skills Are
An agent skill is a reusable package of instructions, resources, and workflow conventions that guides an agent through a specialised task.
How Should a Founder Use What Agent Skills Are?
For an ai assisted intake tool that turns customer emails into draft tasks, ask what would happen if a reusable instruction package silently carries unsafe assumptions into many future tasks.
For this decision, the useful standard is that the output satisfies explicit constraints and survives review outside the conversation that produced it.
- Decision: Use skills for repeatable work whose inputs, allowed actions, evidence, and failure handling can be stated clearly.
- Evidence to request: show that the output satisfies explicit constraints and survives review outside the conversation that produced it.
- Owner: name who will respond if a reusable instruction package silently carries unsafe assumptions into many future tasks.
- Record the result in the AI work brief, review record, and acceptance criteria.
- Practical review: Run one customer email through the intake tool with missing context, ambiguous intent, and a request that needs human approval.
How Do You Choose an Approach to What Agent Skills Are?
What may the AI produce, what must it never decide, and what evidence lets a person approve the result? Use skills for repeatable work whose inputs, allowed actions, evidence, and failure handling can be stated clearly.
The risk is that a reusable instruction package silently carries unsafe assumptions into many future tasks. Compare a simpler option with the proposed one, including who will operate either choice.
- Describe the user or business outcome that must be protected.
- Identify the most credible failure and its consequence.
- Compare the simplest adequate approach with one realistic alternative.
- Set a review point for when the decision may need to change.
What Evidence Should You Accept for What Agent Skills Are?
What Warning Signs Should You Look For?
- The proposal does not address this risk: a reusable instruction package silently carries unsafe assumptions into many future tasks.
- Nobody can show whether the output satisfies explicit constraints and survives review outside the conversation that produced it.
- The decision has no named owner or review point.
What Should You Ask a Consultant?
- What changes for the user if we choose this approach to what agent skills are?
- How have we reduced or accepted this risk: a reusable instruction package silently carries unsafe assumptions into many future tasks.
- Can you demonstrate that the output satisfies explicit constraints and survives review outside the conversation that produced it?
- Who owns the result, and when will we reconsider it?
Key takeaway
Key Takeaway
Use skills for repeatable work whose inputs, allowed actions, evidence, and failure handling can be stated clearly. Ask for evidence against the specific risk: a reusable instruction package silently carries unsafe assumptions into many future tasks.