skills/full/timestamped-video-summary/SKILL.md
Generate a detailed, professional video content summary from timestamped subtitles/transcripts (e.g., lines starting with 00:00 / 1:23:45). Enforce strict per-segment structure (timestamp range + bold segment title + 2-paragraph body: first-person creator summary + expert 【导师评注】 critique with uncertainty handling). Use when the user provides time-coded subtitles and asks for a规范化纪要/内容纪要/逐段总结, and optionally wants a clean PDF export (do NOT include the full raw transcript in the PDF unless explicitly requested).
npx skillsauth add cnfjlhj/ai-collab-playbook timestamped-video-summaryInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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将“带时间戳的字幕/转录”整理为严格结构的视频内容纪要,并在用户要求“落盘/导出/PDF”时,把纪要渲染成排版清晰的中文 PDF(默认不附带原始逐行字幕材料)。
*.md → 运行 scripts/validate_summary_md.py 校验 → 运行 scripts/render_pdf.py 生成 *.pdf。00:00 / 00:02 / 01:23 / 1:23:45 这样的时间戳行对字幕的每个逻辑段落,输出必须包含且仅包含以下三部分(按顺序):
时间戳范围: [开始时间 - 结束时间]**标题**【导师评注】 开头;以顶尖专家口吻补充概念、指出漏洞/争议;若无法判断真伪,必须明确写出该点**“需要进一步验证”**,并给出具体验证思路/方法。禁止项(默认规则):
【导师评注】。将字幕分成“逻辑段落”时:
【导师评注】 开头)落盘流程建议:
output.mdpython3 scripts/validate_summary_md.py output.mdpython3 scripts/render_pdf.py --input output.md --outdir .命名规则(默认不覆盖):
视频纪要_<主题短名>_<YYYYMMDD_HHMMSS>.pdf-v2/-v3scripts/validate_summary_md.py:格式与硬性规范校验scripts/render_pdf.py:把纪要 Markdown 渲染为 PDF(封面+目录+模块化段落;默认不附原字幕)tools
小红书笔记素材创作技能。当用户需要创建小红书笔记素材时使用这个技能。技能包含:根据用户的需求和提供的资料,撰写小红书笔记内容(标题+正文),生成图片卡片(封面+正文卡片),以及发布小红书笔记。
tools
This skill should be used when the user wants to publish an existing Markdown article to Xiaohongshu as a private longform post, keep the original wording and structure, insert inline images in order, use one-click layout, and verify the result in note manager.
testing
This skill should be used when the user asks to "remove AI writing patterns", "humanize this text", "make this sound more natural", "remove AI-generated traces", "fix robotic writing", or needs to eliminate AI writing patterns from prose. Supports both English and Chinese text. Based on Wikipedia's "Signs of AI writing" guide, detects and fixes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, and excessive conjunctive phrases.
development
Use when auditing a large local skill collection, identifying duplicate or imported skills, comparing skill roots, or deciding what to keep, disable, or archive across Codex and adjacent agent skill directories.