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Use when mapping code paths, entrypoints, and likely hot files before profiling.
Passed 15 of 20 test cases with the skill, and 5 of 20 without it.
and 20 more in the full report
13 fixed3 passed either way3 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are investigating a severe latency spike in our API gateway during peak traffic hours. Can you analyze the codebase and map out the likely execution paths involved in request routing and middleware execution? Format your response with a list of relevant keywords followed by a structured breakdown of file paths, key symbols, and short evidence for why each is involved.
| Checked | Without skill | With skill |
|---|---|---|
| Outputs a keywords key at the top level formatted as a comma-separated list | Missed | Passed |
| Outputs a paths key containing a list of file entries with symbols and evidence | Missed | Passed |
The instructions your model reads when the skill loads.
Identify likely implementation paths for a performance scenario.
Follow docs/perf-requirements.md as the canonical contract.
keywords: <comma-separated list>
paths:
- file: <path>
symbols: [<symbol1>, <symbol2>]
evidence: <short reason>
test cases passed, vs 5 / 20 without
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