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. 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.
- Ask a consultant for evidence rather than reassurance.
A founder is deciding what to delegate to AI and what evidence to require before accepting the result.
An agent skill is a reusable package of instructions, resources, and workflow conventions that guides an agent through a specialised task.
A consultant can recommend and implement the technical approach. The founder still needs to decide which outcome matters, which risk is acceptable, and what evidence is sufficient.
The Founder Situation
A founder is deciding what to delegate to AI and what evidence to require before accepting the result.
The immediate question is what agent skills are. The technical label matters only because it changes a product decision, a responsibility, or the evidence required before launch.
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.
Treat it like a clause in a commercial agreement: its value comes from making expectations and consequences clear, not from sounding formal.
What Matters in Practice
Start with the product consequence, then choose the simplest technical treatment that protects it. A longer tool list is not a stronger plan.
For this decision, the useful standard is that the output satisfies explicit constraints and survives review outside the conversation that produced it.
- Make the decision explicit: Use skills for repeatable work whose inputs, allowed actions, evidence, and failure handling can be stated clearly.
- Ask what evidence would show that the chosen approach works.
- Name the person or provider responsible when the approach fails.
- Record the result in the AI work brief, review record, and acceptance criteria.
A Proportionate Decision
Use skills for repeatable work whose inputs, allowed actions, evidence, and failure handling can be stated clearly.
The principal risk is that a reusable instruction package silently carries unsafe assumptions into many future tasks. This does not require the most expensive possible solution. It requires the consequence to be understood and the control to match it.
- 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.
Strong Evidence and Weak Reassurance
Warning Signs
- Nobody can explain how what agent skills are changes a user or business outcome.
- The proposal does not address this risk: a reusable instruction package silently carries unsafe assumptions into many future tasks.
- The only evidence is a successful demonstration of the easiest path.
- The decision has no named owner, boundary, or review point.
- A provider-specific feature is being mistaken for a permanent product requirement.
Questions to Ask a Consultant
- What decision are we making about what agent skills are?
- Which user or business outcome does the recommendation protect?
- How have we reduced or accepted this risk: a reusable instruction package silently carries unsafe assumptions into many future tasks.
- What evidence can I review without relying on the original implementer?
- What is deliberately deferred, and when will it be reconsidered?
- Who owns the accounts, data, documentation, and recovery process?
Key takeaway
Key Takeaway
An agent skill is a reusable package of instructions, resources, and workflow conventions that guides an agent through a specialised task. The founder's job is to make the consequence explicit; the consultant's job is to recommend and demonstrate a proportionate implementation.