jianying-video-gen

cclank/lanshu-waytovideo · updated Apr 8, 2026

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$npx skills add https://github.com/cclank/lanshu-waytovideo --skill jianying-video-gen
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summary

通过 Playwright 自动化操作剪映(xyq.jianying.com),使用 Seedance 2.0 模型生成 AI 视频。

skill.md

剪映 AI 视频生成器

通过 Playwright 自动化操作剪映(xyq.jianying.com),使用 Seedance 2.0 模型生成 AI 视频。

前置条件

  1. Python 3.9+ + playwright 已安装
  2. Chromium 已通过 playwright install chromium 安装
  3. cookies.json — 剪映登录凭证(从浏览器导出),放在脚本同目录下
pip install playwright && playwright install chromium

核心脚本

scripts/jianying_worker.py — 主自动化脚本

使用方式

文生视频 (T2V)

python3 scripts/jianying_worker.py \
  --cookies /path/to/cookies.json \
  --output-dir /path/to/output \
  --prompt "赛博朋克风格的长安城,飞行汽车穿梭在霓虹灯笼之间" \
  --duration 10s \
  --model "Seedance 2.0"

图生视频 (I2V)

python3 scripts/jianying_worker.py \
  --cookies /path/to/cookies.json \
  --output-dir /path/to/output \
  --ref-image /path/to/image.png \
  --prompt "将这张图片变成动画,镜头从左向右缓慢平移" \
  --duration 10s \
  --model "Seedance 2.0 Fast"

参考视频生成 (V2V)

python3 scripts/jianying_worker.py \
  --cookies /path/to/cookies.json \
  --output-dir /path/to/output \
  --ref-video /path/to/reference.mp4 \
  --prompt "画风改成宫崎骏风格,其他不变" \
  --duration 10s \
  --model "Seedance 2.0"

向后延伸 (Extend)

python3 scripts/jianying_worker.py \
  --cookies /path/to/cookies.json \
  --output-dir /path/to/output \
  --extend-url 'https://xyq.jianying.com/home?tab_name=integrated-agent&thread_id=YOUR_THREAD_ID&agent_name=pippit_video_part_agent' \
  --prompt "向后延伸,保持人物和镜头语言一致" \
  --duration 5s

Dry-Run 模式(调试用)

python3 scripts/jianying_worker.py --cookies /path/to/cookies.json --prompt "测试" --dry-run

只填写表单不提交,生成 step_*.png 截图供检查。 对 V2V 来说,dry-run 现在还会输出一段 表单状态 JSON,用来确认参考视频缩略图是否已挂上、发送按钮是否已解锁。

参数说明

参数 默认值 可选值 说明
--prompt "一个美女在跳舞" 任意文本 视频描述
--duration 10s 5s, 10s, 15s 视频时长
--ratio 横屏 横屏, 竖屏, 方屏 画面比例
--model Seedance 2.0 Seedance 2.0, Seedance 2.0 Fast 模型选择
--ref-image 本地图片路径 I2V 模式的参考图片
--ref-video 本地视频路径 V2V 模式的参考视频
--extend-url thread 链接 Extend 模式,基于已有视频继续生成
--cookies cookies.json 文件路径 剪映登录凭证路径
--output-dir . 目录路径 输出视频保存目录
--dry-run false - 只填表不提交

模型与积分

模型 积分/秒 5s 10s 15s 特点
Seedance 2.0 Fast 3 15 30 45 快速,适合测试
Seedance 2.0 5 25 50 75 高质量,正式出片

自动化流程

登录(cookies) → 选模式(沉浸式短片) → 选模型 → [上传参考素材/打开已有 thread 并点向后延伸] → 选时长 → 输入Prompt → 发送
  → 拦截 thread_id → 导航详情页 → 轮询视频 → curl 下载 MP4

提示词编写指南

详细的提示词示例和编写技巧参见 references/prompt-guide.md

常见问题

Q: cookies 过期了怎么办? 在浏览器登录 xyq.jianying.com,使用 EditThisCookie 等扩展导出 cookies.json。

Q: 下载 403? 脚本使用 thread_id 详情页 + curl 下载,CDN 链接无需 cookie。如仍失败检查网络。

Q: 上传参考视频很慢? 正常,8MB 视频约需 60-90 秒。脚本会自动等待最多 5 分钟。

how to use jianying-video-gen

How to use jianying-video-gen on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add jianying-video-gen
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/cclank/lanshu-waytovideo --skill jianying-video-gen

The skills CLI fetches jianying-video-gen from GitHub repository cclank/lanshu-waytovideo and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/jianying-video-gen

Reload or restart Cursor to activate jianying-video-gen. Access the skill through slash commands (e.g., /jianying-video-gen) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.745 reviews
  • Ganesh Mohane· Dec 12, 2024

    jianying-video-gen is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Advait Sanchez· Dec 12, 2024

    jianying-video-gen reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Shikha Mishra· Dec 8, 2024

    We added jianying-video-gen from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Anaya Malhotra· Dec 8, 2024

    I recommend jianying-video-gen for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Lucas Yang· Nov 27, 2024

    jianying-video-gen fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sakshi Patil· Nov 3, 2024

    Keeps context tight: jianying-video-gen is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Advait Park· Nov 3, 2024

    Registry listing for jianying-video-gen matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Chaitanya Patil· Oct 22, 2024

    jianying-video-gen has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Anaya Khanna· Oct 22, 2024

    jianying-video-gen fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Isabella Agarwal· Oct 18, 2024

    Registry listing for jianying-video-gen matched our evaluation — installs cleanly and behaves as described in the markdown.

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