Edit a user-supplied video into a vertical Reel, Short, TikTok, video diary short, or an approved eight-step AI short-video workflow. Use when the user provides or points to media and asks to transcribe, cut, subtitle, preview, or export a vertical short. Do not use for environment-only setup or generic Premiere Pro or CapCut help.
把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性，你确认后才安装。
读取 https://funcoding.ai/skills/jaycheng1103/chatgpt-video-editing-skills/chatgpt-short-video-editor/install.md ，按里面的步骤帮我安装这个 Skill。
Create a safe, evidence-backed vertical short from user-provided media. This Skill starts only when a source file or clear source location is available.
ffprobe; never overwrite, move, rename, or delete
it. Put every new artifact beside the source in <source-directory>/edit/.video-use workflow, FFmpeg, ffprobe, and
ElevenLabs Scribe v2 are available for the documented full-precision path.
Do not install, clone, update, or repair anything silently. If a dependency
is missing, hand off to chatgpt-video-editing-setup and state what must be
verified first.Follow these eight steps exactly: 素材檢查、逐字轉寫、內容整理、剪輯決策、逐段粗剪、轉色／圖卡／字幕、混音與完整預覽、QA 與正式定稿.
After the first three steps, propose a 4–8 sentence, plain-language editing strategy and wait for approval. Until approval, do not choose edit points or add B-roll, animations, music, effects, CTA, or a publishing schedule. Treat these as opt-in creative decisions, not defaults.
Use word-level verbatim timestamps, cached per unchanged source. Never cut inside a word. Keep 30–200ms padding around cut edges, work per segment, and use output-timeline subtitle timing. Subtitles are the last visual operation.
Render a complete 720p preview first. Inspect the rendered preview, not only the source; make no more than three evidence-based self-fix passes. After the preview is approved, render the 1080×1920 final and verify that final file before delivery. Never say a transcript, preview, QA pass, or final is complete without the corresponding verified output.
If the requested operation exceeds this workflow, explain the safe stopping
point. For environment gaps, use chatgpt-video-editing-setup; it must obtain
approval before mutations and does not begin creative work.
Keep and report the artifacts defined in the output contract. Present only one formal final outwardly, with its evidence-backed QA report.
anthropics/skills180kApplies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
AI 与智能体
anthropics/skills180kA set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
AI 与智能体
anthropics/skills180kanthropics/skills180kGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
AI 与智能体
anthropics/skills180kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
AI 与智能体
anthropics/skills180kStop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.
AI 与智能体