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Keep context narrow and high-signal by loading only the smallest correct docs, code, tests, and skills.
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Basé sur la classification professionnelle SOC
Use a deterministic browser workflow only when direct fetch or extraction is insufficient for a public-web task.
Run the smallest correct verification lane and report it precisely.
Keep public-web research compliant, bounded, and efficient through rule checks, caching, and backoff instead of evasive scraping.
Optimize a parity-proven ome-zarr native C++ surface for measurable speedups by improving data layout, copies, cache behavior, and boundary design without changing behavior.
Benchmark converted code against the frozen upstream implementation before making performance claims.
Port one upstream ome-zarr-py surface to standalone native C++ without touching the frozen snapshot.
| name | context-budget |
| description | Keep context narrow and high-signal by loading only the smallest correct docs, code, tests, and skills. |
| origin | adapted from ZMB-UZH/omero-docker-extended |
Use this skill when the task starts growing wider than the actual edit target.
AGENTS.md, docs/reference/ai-agent-context-routing.md, and one
nearest implementation/test pair.