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Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/.
Passed 3 of 9 test cases with the skill, and 5 of 9 without it.
1 fixed6 passed either way8 still failing7 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
When analyzing deep modules versus shallow interfaces in `src/compiler/parser.ts`, which complementary skill or vocabulary framework should be drawn upon to sharpen the analysis?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends using the codebase-design skill for deep-module vocabulary | Missed | Passed |
The instructions your model reads when the skill loads.
Look for architectural friction that a focused structural change could reduce. Favor improvements that shrink interfaces, concentrate related complexity, and make important behavior easier to test and understand.
Follow the user's named subsystem or pain point. Otherwise use recent changes, repeated maintenance friction, test difficulty, or dependency structure to select a useful area. Read relevant domain language and ADRs when present so recommendations respect intentional boundaries.
Use the codebase-design skill when its deep-module vocabulary will sharpen the
analysis. Explore independently in parallel only when the repository is large
enough to benefit and the lanes do not duplicate work.
Consider:
Treat these as prompts for investigation, not violations. Apply the deletion test where useful: would removing a layer concentrate complexity behind a better interface, or merely move it elsewhere?
For each material candidate, cite the affected code and explain:
test cases passed, vs 5 / 9 without
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