Teams need proof that an AI agent’s skills actually help
An can use AI agents to help new developers learn a service or fix a broken . These agents rely on s, such as an skill or a skill for a specific solution. As more skills are added, it becomes hard to see which ones the agent actually uses, how often they run, and whether they help the user or just add noise.
After a skill is shipped, there may be no clear way to know whether it earns its place or sits unused as dead code. The core issue is visibility: need a way to measure each skill’s use and value, not just keep adding more .
Key points
- AI agents may have many s, but teams may not know which ones are used.
- Skill-level tracking should show call counts, success, and user value.
- A skill can add noise even if it sounds useful on paper.
- Unused dead code can raise token and s.
- need measurement before adding more skills.