원클릭으로
web-discovery
Plan and run current public-web discovery for docs, releases, issues, and community evidence without guessing or over-browsing.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Plan and run current public-web discovery for docs, releases, issues, and community evidence without guessing or over-browsing.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| 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.