Audit Agent Experience

Evaluate how well a product/SDK/docs surface works when an AI agent actually tries to onboard and do a realistic task — starting from a short one-sentence prompt, with nothing pasted in. The agent must find the docs, install what it needs, and attempt real work. That's the only honest test of agent DX.

The skill spawns multiple subagents in parallel, captures each one's tool-call trace, and scores the experience using the same dimensions as the Skill Test Arena dashboard: Setup Friction, Speed, Efficiency, Error Recovery, Doc Quality.

Core principle

Do not spoonfeed. The subagent gets a tiny prompt like "Get started with {product} and {do its primary thing}". It must discover the docs, choose the path, and hit real failures. A good doc survives this; a bad doc does not.

Workflow

Execute these steps in order. Do not skip ahead.

Step 1 — Identify the target and define the abstract goal

Resolve what the user is asking to audit. The target may arrive in one of three forms: