一键导入
site-extract
Extract the smallest useful amount of text or structured data from a known public page before falling back to full browser automation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Extract the smallest useful amount of text or structured data from a known public page before falling back to full browser automation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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 | site-extract |
| description | Extract the smallest useful amount of text or structured data from a known public page before falling back to full browser automation. |
| origin | repo-local web research workflow |
Use this skill when the target page or docs site is already known and the task is to extract facts, structured fields, or bounded excerpts.
browser-fallback.docs/reference/ai-agent-web-research-stack.mdbrowser-fallback or source-audit when needed