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conference-papers-skills
conference-papers-skills contiene 7 skills recopiladas de rqyang-aero, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Use when Codex needs to generate abstract-only Obsidian Markdown notes from one or more data/papers/*.json files by reading arXiv HTML abstract metadata when available, without reading the full paper. Trigger for requests like "Use $conference-papers-readsimply 简读 data/papers/xxx.json", "批量简读 data/papers/*.json", or "generate simple abstract md notes"; this skill is independent from website note JSON and dist build.
Use when building or maintaining a searchable HTML reading site from conference papers, CVPR/CVF virtual pages, RSS/Atom feeds, manual paper lists, or topic-specific paper collections such as VLA, Humanoid, locomotion, or loco-manipulation.
Use when Codex needs to read a conference paper from data/papers/*.json and generate a standalone Obsidian-compatible deep-reading Markdown note under data/_inbox, with online images by default and optional localization only when needed. Trigger for requests like "Use $conference-papers-read2md 精读 data/papers/xxx.json", "根据 paper JSON 生成 Obsidian md", or "read conference paper JSON to Markdown"; this skill is independent from the conference-papers website note JSON and dist build.
Use when the user asks to fetch, crawl, collect, scrape, or refresh conference paper candidates from CVPR/CVF pages, RSS/Atom feeds, manual paper lists, or topic filters before reading or building the site.
Use when the user asks to maintain an existing conference paper website by adding papers, merging topics, deduplicating records, enriching metadata, fixing related-work links, or rebuilding after updates.
Use when the user asks to read selected conference papers, generate high-quality paper notes, convert draft notes into final notes, or populate structured note JSON for the conference paper website.
Use when the user asks to build, rebuild, render, preview, or regenerate the static HTML website, topic pages, paper pages, assets, or search index from existing conference paper data.