Redact text from PDF documents for blind review anonymization
日本語の概要は準備中です。原文の説明を表示しています。
生成短视频脚本和分镜。输入产品/主题描述、目标受众、时长,输出完整脚本+分镜结构(JSON/YAML)。支持多种模板:痛点-解决、反转剧情、before-after。
触发词:视频脚本、短视频文案、分镜、storyboard、video script。
インストールする前に、エージェントに与えられる指示の中身を確認できます。
| 参数 | 必填 | 说明 |
|---|---|---|
| topic | ✓ | 产品/主题描述 |
| audience | ✓ | 目标受众 |
| duration | ✓ | 时长:15s / 30s / 60s / 90s |
| template | - | 模板:pain-solution / before-after / plot-twist |
| platform | - | 平台:douyin / xiaohongshu / youtube-shorts |
| tone | - | 语气:professional / casual / humorous / dramatic |
痛点引入 → 解决方案 → 效果展示 → CTA
对比前的状态 → 转折点 → 对比后的状态 → CTA
正常叙事 → 意外反转 → 揭示真相 → CTA
详见 templates/ 目录。
meta:
title: "脚本标题"
duration: 30s
platform: douyin
template: pain-solution
script:
hook: "开场钩子文案"
scenes:
- id: 1
type: hook # hook/pain/solution/demo/cta
duration: 3s
narration: "旁白/台词"
shot_description: "镜头描述:特写/中景/全景,动作,表情"
visual_style: "画面风格提示"
demo_insert: false
- id: 2
type: pain
duration: 5s
narration: "..."
shot_description: "..."
demo_insert: false
- id: 3
type: solution
duration: 8s
narration: "..."
shot_description: "产品界面展示"
demo_insert: true
demo_action: "点击生成按钮,展示结果"
- id: 4
type: cta
duration: 3s
narration: "链接在评论区"
shot_description: "logo + 二维码"
demo_insert: false
cta: "链接在评论区 / 点击头像私信"
music_suggestion: "轻快节奏 / 紧张悬疑 / 温馨治愈"
| type | 用途 | 典型时长 |
|---|---|---|
| hook | 开场吸引 | 2-3s |
| pain | 痛点展示 | 3-5s |
| solution | 解决方案 | 5-10s |
| demo | 产品演示 | 5-15s |
| result | 效果展示 | 3-5s |
| twist | 反转 | 3-5s |
| cta | 行动号召 | 2-3s |
| 总时长 | 场景数 | 分配建议 |
|---|---|---|
| 15s | 3-4 | hook(2) + core(10) + cta(3) |
| 30s | 4-6 | hook(3) + pain(5) + solution(15) + cta(3) |
| 60s | 6-8 | hook(3) + pain(8) + solution(35) + result(10) + cta(4) |
用户:帮我写一个30秒的短视频脚本,推广我的AI写作工具,目标用户是自媒体博主
执行:
输出的结构化数据可直接用于:
digital-avatar skill:提取 narration 生成口播scene-video-generator skill:按 shot_description 生成画面video-stitcher skill:按 duration 拼接まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Redact text from PDF documents for blind review anonymization
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when reading sensor data from CSV files, writing simulation results to CSV, processing time-series data with pandas, or handling missing values in datasets.
日本語の概要は準備中です。原文の説明を表示しています。
DC power flow analysis for power systems. Use when computing power flows using DC approximation, building susceptance matrices, calculating line flows and loading percentages, or performing sensitivity analysis on transmission networks.
日本語の概要は準備中です。原文の説明を表示しています。
A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of "Word doc", "word document", ".docx", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a "report", "memo", "letter", "template", or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
日本語の概要は準備中です。原文の説明を表示しています。
Generator economic dispatch and cost optimization for power systems. Use when minimizing generation costs, computing optimal generator setpoints, calculating operating margins, or working with generator cost functions.
日本語の概要は準備中です。原文の説明を表示しています。