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Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Can critique architecture. Use why for motivation.
Passed 5 of 11 test cases with the skill, and 5 of 11 without it.
and 4 more in the full report
6 fixed5 passed either way7 still failing6 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
When user asks 'How does the email formatting utility `formatEmailBody` work in `src/utils/email.ts`?', what agent type parameter must be specified when spawning the direct explainer subagent?
| Checked | Without skill | With skill |
|---|---|---|
| Sets the subagent agent parameter to poteto-agent | Missed | Passed |
The instructions your model reads when the skill loads.
Explore the codebase to answer "how does X work?" questions. Produce clear architectural explanations at the level of a senior engineer onboarding onto a subsystem. Enough to build a working mental model, not annotated source code.
Two modes:
Parse what the user is asking about:
Identify the scope. If ambiguous, state your best-guess interpretation before exploring. Don't ask. Let the user redirect if you're off.
Assess complexity to decide the approach:
When in doubt, lean simple. You can always spawn explorers if the explainer hits a wall.
Decompose the question into 2-4 parallel exploration angles, each a distinct slice of the subsystem so explorers don't duplicate work. Example split for "how does the rate limiter work?":
The right decomposition depends on the question. Use your judgment. Narrow questions: 2 explorers is fine. Broad subsystems: up to 4.
Spawn all explorers in a single message:
test cases passed, vs 5 / 11 without
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