Analyze Video
krusemediallc/arcads-claude-code
Analyze a reference video and reverse-engineer its style into a reusable Seedance 2.0 prompting template.
视频制作策略与工具选型：AI 视频生成模型对比、视频脚本结构设计、制作流程规划，覆盖产品演示/解说/社媒短视频场景. An agent skill from ZJU-REAL/Easel.
Install Video Strategy
$ npx skills add ZJU-REAL/Easel --skill video-strategy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel video-strategy --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/video-strategy .claude/skills/video-strategy && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "video-strategy" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-strategy into .claude/skills/video-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-strategy", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-strategyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ZJU-REAL/Easel --skill video-strategy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel video-strategy --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openclaw/video-strategy .agents/skills/video-strategy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-strategy" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-strategy into .agents/skills/video-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-strategy", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJU-REAL/Easel --skill video-strategy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel video-strategy --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openclaw/video-strategy .cursor/skills/video-strategy && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "video-strategy" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-strategy into .cursor/skills/video-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-strategy", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ZJU-REAL/Easel.git --path skills/openclaw/video-strategy--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ZJU-REAL/Easel --skill video-strategy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel video-strategy --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openclaw/video-strategy .gemini/skills/video-strategy && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "video-strategy" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-strategy into .gemini/skills/video-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-strategy", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ZJU-REAL/Easel video-strategyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ZJU-REAL/Easel --skill video-strategy -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openclaw/video-strategy .github/skills/video-strategy && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "video-strategy" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-strategy into .github/skills/video-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-strategy", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJU-REAL/Easel --skill video-strategy -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZJU-REAL/Easel video-strategy --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openclaw/video-strategy .opencode/skills/video-strategy && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "video-strategy" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-strategy into .opencode/skills/video-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-strategy", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
video-strategy- GitHub stars
- 3.4k
- Token cost
- ~1k tokens
- SKILL.md length
- 369 words
- Files
- 4 (incl. references)
- Skills in repo
- 114
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
视频制作策略与工具选型：AI 视频生成模型对比、视频脚本结构设计、制作流程规划，覆盖产品演示/解说/社媒短视频场景. An agent skill from ZJU-REAL/Easel.
- Works in 7 steps: 收集上下文 → 选择制作方案 → AI 视频生成模型对比 → …
- Tasks that involve AI video generation
- SKILL.md covers 输入, 输出, 执行步骤 and 常见错误, plus 1 more section
- Calls ffmpeg
What it does
Video Strategy is an agent skill from ZJU-REAL/Easel. 视频制作策略与工具选型：AI 视频生成模型对比、视频脚本结构设计、制作流程规划，覆盖产品演示/解说/社媒短视频场景。 当用户说"视频怎么做""视频选型""用什么工具做视频""视频制作流程""视频策略""视频系列规划"时使用。 和 video-script 的区别：video-strategy 做内容规划与工具选型，video-script 写具体某条视频的脚本。
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `EASEL-META.md`, `references/ai-video-prompting.md` and `references/edit-anatomy.md`).
It sits in Media & Creative, covering AI video generation and Video scripts and shorts. It works with Google Veo, Seedance and FFmpeg. The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.
When your agent uses it
- Tasks that involve AI video generation
- Tasks that involve Video scripts and shorts
Example prompts
- “用什么工具做视频”
- “视频制作流程”
- “视频系列规划”
- “/video-strategy”
Requirements
- Node.js
Workflow steps
7 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 278f420. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
ffmpeg
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Video Strategy loads about 1k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 49 tokens; SKILL.md has 369 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 369 words, ~1,035 tokens.
Download SKILL.mdSave it as
.claude/skills/video-strategy/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- video-strategy
- description
- 视频制作策略与工具选型：AI 视频生成模型对比、视频脚本结构设计、制作流程规划，覆盖产品演示/解说/社媒短视频场景。 当用户说"视频怎么做""视频选型""用什么工具做视频""视频制作流程""视频策略""视频系列规划"时使用。 和 video-script 的区别：video-strategy 做内容规划与工具选型，video-script 写具体某条视频的脚本。
- layer
- produce
视频制作策略
视频制作策略与工具选型。覆盖 AI 视频生成模型对比、程序化视频框架选择、视频脚本结构设计、制作流程规划。
本技能负责策略规划和工具选型。已部署的
video-editing技能可执行实际的 ffmpeg 剪辑操作（裁剪、跳切、文字覆盖、变速等）。
输入
- 视频目标（产品演示 / 解说 / 社媒短视频 / 广告 / 教程）
- 目标平台（抖音 / B站 / 快手 / 视频号 / YouTube / Instagram）
- 现有素材（截图、录屏、脚本、品牌素材）
- 预算和技术栈约束
输出
- 推荐制作方案（工具选型 + 理由）
- 平台适配规格（分辨率、时长、画幅比）
- 制作流程步骤
- 视频脚本结构（如需要）
执行步骤
1. 收集上下文
确认以下信息（未提供则主动询问）：
- 视频类型：产品演示、解说、社媒短视频、广告、教程
- 目标平台：决定画幅比和时长限制（见下方平台规格表）
- 呈现方式：AI 数字人 / 旁白 + 画面 / 纯程序化 / 录屏
- 素材情况：是否有现有素材（截图、录屏、logo）
- 复用需求：一次性还是模板化批量生产
- 预算：部分工具按视频时长计费
2. 选择制作方案
| 方案 | 适用场景 | 工具 | 可用性 |
|---|---|---|---|
| 程序化视频 | 模板化、数据驱动、批量 | Hyperframes, Remotion | ✅ Node.js 可用 |
| AI 视频生成 | 原创画面、B-roll | Veo 3, Sora 2, Runway, Kling, Seedance | ⚠️ 需 API key |
| AI 数字人 | 真人呈现、多语言 | HeyGen, Synthesia | ⚠️ 需 API key |
| 剪辑/二创 | 长视频拆短视频 | ffmpeg (video-editing 技能), CapCut | ✅ ffmpeg 可用 |
3. AI 视频生成模型对比
如用户需要 AI 生成视频画面，参考此表选型：
| 模型 | 分辨率 | 最长时长 | 特长 | 成本 |
|---|---|---|---|---|
| Veo 3 (Google) | 最高 1080p | 可变 | 最高画质 + 同步音频 | API 计费 |
| Sora 2 (OpenAI) | 最高 1080p | ~20s | 电影质感 + 同步音频 | API + ChatGPT |
| Runway Gen-4 | 最高 4K | ~10s/次 | 运动控制、时序一致性 | 订阅制 |
| Kling 2.5/3.0 (快手) | 最高 1080p | 最长 2 分钟 | 长镜头、单位成本低 | 按秒计费（低单价） |
| Seedance (字节跳动) | 最高 1080p | 短片段 | 快速生成、运动保真度高、适合批量 | 按积分 |
| Hailuo / MiniMax (MiniMax) | 最高 1080p | 短片段 | 跨镜头角色一致性 | 按积分 |
| Pika 2.x | 1080p | 短片段 | 快速特效、图生视频 | 按积分 |
| 混元视频 / Wan 2 (腾讯) | 720p-1080p | 可变 | 开源自部署，完全可控，无 API 费 | 免费 (需 GPU) |
快速选型：
- 最高画质 + 音频：Veo 3 或 Sora 2
- 批量 / 低成本：Kling、Seedance
- 跨镜头角色一致性：Hailuo
- 自部署 / 品牌管控：混元视频 或 Wan 2（开源权重）
- 图生视频：Kling、Pika、Runway
上表型号版本号与定价随厂商快速迭代，仅供选型参考，以各厂商官方最新公布为准。
视频 AI 提示词写法详见 references/ai-video-prompting.md
4. 目标平台规格
中国平台
| 平台 | 画幅比 | 推荐分辨率 | 时长限制 | 备注 |
|---|---|---|---|---|
| 抖音 | 9:16 | 1080x1920 | 15s / 60s / 15min | 15s 以内完播率权重最高 |
| B站 | 16:9 | 1920x1080 | 无硬性上限 | 横屏为主，竖屏也支持 |
| 快手 | 9:16 | 1080x1920 | 11min | 竖屏为主 |
| 视频号 | 9:16 / 16:9 | 1080x1920 | 30min | 短视频 < 1min 优先推荐 |
| 小红书 | 9:16 / 3:4 | 1080x1920 | 15min | 3:4 也常用 |
Show full SKILL.md (141 more words)Show less
海外平台
| 平台 | 画幅比 | 推荐分辨率 | 时长限制 |
|---|---|---|---|
| YouTube | 16:9 | 1920x1080 / 3840x2160 | 无限制 |
| YouTube Shorts | 9:16 | 1080x1920 | 60s |
| TikTok | 9:16 | 1080x1920 | 10min |
| Instagram Reels | 9:16 | 1080x1920 | 90s |
| Instagram Feed | 1:1 / 4:5 | 1080x1080 / 1080x1350 | 60s |
5. 程序化视频框架
用代码生成视频，适合可重复、模板化、数据驱动的批量制作。
Hyperframes（HTML/CSS，推荐）— 开源，Apache 2.0，每帧是 HTML 文档，对 agent 最友好。 Remotion（React）— 更强的动画能力，适合复杂动效和 Lambda 批量渲染。
| 因素 | Hyperframes | Remotion |
|---|---|---|
| Agent 友好度 | 更好（纯 HTML） | 好（React） |
| 动画能力 | 基础（CSS transition） | 高级（Spring, interpolate） |
| 批量渲染 | 本地 | Lambda (AWS) |
| 许可 | Apache 2.0 | 商用需授权 |
6. 制作流程模板
产品演示视频：脚本 → 录屏 → 程序化叠加（标题、标注）→ AI B-roll → 配音 → 按平台规格导出
解说视频：脚本（问题→方案→CTA）→ 选呈现方式（AI 数字人 / 旁白）→ 画面制作 → 加字幕 → 导出
批量社媒短视频：Hyperframes/Remotion 建模板 → 灌数据 → 批量渲染 → 加平台字幕 → 分发
病毒式剪辑复刻：拉参考视频 → 逐拍分解剪辑节奏 → 输出 beat sheet → 用自己素材执行。详见 references/edit-anatomy.md
7. Agent 可直控的管线
Agent 写脚本（结合 Profile）
↓
Hyperframes: HTML → MP4（程序化视频）
和/或
AI 视频 API: 生成 B-roll
↓
ffmpeg (video-editing 技能): 剪辑拼接
↓
产物 → outputs/常见错误
- 先选工具再想策略 — 先明确视频目标，再选工具
- AI 生成视频中加文字 — 模型无法可靠渲染可读文字，用程序化叠加
- 忽略字幕 — 85% 社媒视频静音观看，必须加字幕
- 画幅比错误 — 竖屏 9:16 社媒，横屏 16:9 YouTube/网站
- 过度制作 — 社媒平台上真实感往往胜过精致感
Profile 感知
检测 === EASEL ACCOUNT PROFILE === 标记。
有 Profile 时：
- 从 Profile 读取品牌视觉风格（颜色、字体、logo）应用到视频模板
- 读取目标平台偏好，优先推荐对应平台规格
- 读取受众画像，调整视频风格（专业/轻松/潮流）
- 读取产品信息，直接用于脚本编写
无 Profile 时：
- 退回通用模式，主动询问品牌风格和目标平台
- 按通用最佳实践推荐方案
© ZJU-REAL, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (references) in skills/openclaw/video-strategy of ZJU-REAL/Easel.
- SKILL.md
- EASEL-META.md
- references/ai-video-prompting.md
- references/edit-anatomy.md
Open the folder on GitHubat commit 278f420
Compare with similar skills
Video Strategy next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Video Strategy this skillZJU-REAL/Easel | 3.4k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Analyze Videokrusemediallc/arcads-claude-code | 1.6k | — | ~4.2k | Automated safety check: Pass | MIT | |
| Super Video MakerBomx/super-video-maker-skill | 310 | — | ~11k | Automated safety check: Notes | None | |
| Ffmpeg MixingvargHQ/sdk | 340 | — | ~676 | Automated safety check: Pass | MIT | |
| Video PromptingSquare-Zero-Labs/video-prompting-skill | 182 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| AI Media GeneratorHao0321/ai-media-generator | 260 | — | ~5.6k | Automated safety check: Pass | MIT |
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Card Design
ZJU-REAL/Easel
社媒卡片视觉设计系统：提供配色、中文字体层级、满画幅布局、品类骨架和死空白/密度质检，避免模板化 PPT 与廉价 AI 感。
Ecom Details Image
ZJU-REAL/Easel
生成电商商品视觉方案：主图概念、场景图、详情页视觉方向和 AI 生图 Prompt. An agent skill from ZJU-REAL/Easel.
Infographic
ZJU-REAL/Easel
将数据或文字内容转化为可视化信息图，支持静态（AntV）和动画 GIF 两种模式。当用户需要制作信息图、数据可视化、流程图、对比图、动画图表、GIF 图表、思维导图、SWOT 分析图时调用。本地渲染信息图/GIF 动画；要单张静态图片 URL 用 chart-visualization，要 CSV/JSON→整页报告用 data-report
Novel Writer
ZJU-REAL/Easel
长篇小说/网文连载创作：从世界观、人设和三级大纲写到逐章正文，并用文件化状态维护伏笔、前情和跨章一致性. An agent skill from ZJU-REAL/Easel.
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Questions about Video Strategy
What does Video Strategy do?
视频制作策略与工具选型：AI 视频生成模型对比、视频脚本结构设计、制作流程规划，覆盖产品演示/解说/社媒短视频场景. An agent skill from ZJU-REAL/Easel. Video Strategy is an agent skill from ZJU-REAL/Easel.
When should I use Video Strategy?
Video Strategy fits situations like: tasks that involve AI video generation; tasks that involve Video scripts and shorts.
How do I install Video Strategy in Claude Code?
Run `npx skills add ZJU-REAL/Easel --skill video-strategy -a claude-code`. Or copy the skill folder (skills/openclaw/video-strategy in ZJU-REAL/Easel) into .claude/skills/video-strategy in your project. Claude Code loads it when a task matches its description.
How do I install Video Strategy in Codex?
Run `npx skills add ZJU-REAL/Easel --skill video-strategy -a codex`. Or copy the skill folder (skills/openclaw/video-strategy in ZJU-REAL/Easel) into .agents/skills/video-strategy in your project. Codex loads it when a task matches its description.
Can I use Video Strategy in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZJU-REAL/Easel --skill video-strategy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-strategy, .gemini/skills/video-strategy, .github/skills/video-strategy and .opencode/skills/video-strategy in your project.
What does Video Strategy need to run?
Going by SKILL.md and its folder, Video Strategy needs the command-line tools its instructions call (ffmpeg). Our summary lists: Node.js.
Does Video Strategy access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Video Strategy safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Video Strategy use?
Video Strategy is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Video Strategy use?
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.2k tokens, read only when the agent opens those files.
What are the alternatives to Video Strategy?
Skills that share tags, products or a category with Video Strategy: Analyze Video (krusemediallc/arcads-claude-code, 1.6k stars), Super Video Maker (Bomx/super-video-maker-skill, 310 stars), Ffmpeg Mixing (vargHQ/sdk, 340 stars) and Video Prompting (Square-Zero-Labs/video-prompting-skill, 182 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Video Strategy?
ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,376 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 9, 2026.
Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.