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web-discovery
Plan and run current public-web discovery for docs, releases, issues, and community evidence without guessing or over-browsing.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Plan and run current public-web discovery for docs, releases, issues, and community evidence without guessing or over-browsing.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | web-discovery |
| description | Plan and run current public-web discovery for docs, releases, issues, and community evidence without guessing or over-browsing. |
| origin | repo-local web research workflow |
Use this skill when the user needs current public-web research, release/status checks, recommendations, or evidence from multiple sites.
source-audit before making strong claims or recommendations.docs/reference/ai-agent-web-research-stack.mdsite-extract, browser-fallback, source-audit, and compliance-and-rate-limit as neededUse 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.