by ArcReel
AI Agent 驱动的开源可自部署视频工作台：将小说与剧本转为角色、场景、道具资产、分镜、视频和剪映草稿，支持跨镜头一致性、多供应商与费用追踪 | Self-hosted AI video workspace for stories, storyboards and short-form video production
# Add to your Claude Code skills
git clone https://github.com/ArcReel/ArcReelLast scanned: 4/25/2026
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}See how ArcReel compares with popular alternatives.
ArcReel is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by ArcReel. AI Agent 驱动的开源可自部署视频工作台：将小说与剧本转为角色、场景、道具资产、分镜、视频和剪映草稿，支持跨镜头一致性、多供应商与费用追踪 | Self-hosted AI video workspace for stories, storyboards and short-form video production. It has 5,214 GitHub stars.
Yes. ArcReel passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/ArcReel/ArcReel" and add it to your Claude Code skills directory (see the Installation section above).
ArcReel is primarily written in Python. It is open-source under ArcReel on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh ArcReel against similar tools.
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Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
《入职地府后投诉鬼都是我老客户》第 1 集
《入职地府后投诉鬼都是我老客户》第 2 集
《入职地府后投诉鬼都是我老客户》第 3 集
ArcReel 是面向 AI 漫剧与小说改编、旁白/解说短视频、广告与带货短片的开源自托管工作台。它把内容分析、资产管理、分镜、媒体生成、费用追踪和导出组织成一条可审核、可中断恢复的生产流水线。
flowchart LR
A["小说 / 成品剧本 / 商品素材"] --> B["内容分析与项目规划"]
B --> C["角色 / 场景 / 道具资产"]
C --> D["分集与结构化剧本"]
D --> E["分镜图 / 多宫格分镜"]
E --> F["视频片段 / 旁白音轨"]
F --> G["成片合成"]
F --> H["剪映草稿导出"]
每个阶段都可以由 Agent（智能体）编排，也可以由用户在工作台中审核、调整或重新生成。详细模式选择见 创作流程与模式。
准备好 Docker 和 Docker Compose，然后运行：
git clone https://github.com/ArcReel/ArcReel.git
cd ArcReel/deploy
cp .env.example .env
docker compose up -d
访问 http://localhost:1241。默认用户名为 admin；AUTH_PASSWORD 留空时，首次启动会自动生成密码并回写到 deploy/.env。
默认 Compose 会将
1241端口发布到宿主机所有网络接口。请勿将服务直接暴露到公网；远程访问前请配置认证，并使用 HTTPS、VPN 或安全隧道，详见 反向代理与 HTTPS。
登录后进入 设置 页面，配置 ArcReel Agent 以及文本、图像、视频等生成能力，再创建项目开始制作。
完整的首次使用流程见 完整入门教程；生产部署、升级、备份和反向代理见 部署与运维。
| 页面 | 内容 |
|---|---|
| 文档首页 | 按使用者、运维者和开发者进入文档 |
| 完整入门教程 | 从首次部署到生成第一条视频 |
| 创作流程与模式 | 小说、剧本与创作构想，三种创作类型及两种生成模式 |
| 供应商与模型配置 | Agent、文本、图像、视频、TTS 供应商的选择和配置 |
| 剪映草稿导出 | 将 ArcReel 生成结果交给剪映继续编辑 |
| 常见问题 | 部署、费用、模型、数据和许可证问题 |
| 部署与运维 | SQLite、PostgreSQL、升级、备份和反向代理 |
| 从 SQLite 迁移到 PostgreSQL | 数据迁移、验证与回滚流程 |
| 架构说明 | Agent Runtime、任务队列、供应商抽象和数据层 |
| 贡献指南 | 本地开发、测试、代码规范和 PR 流程 |
扫码加入飞书交流群，获取使用帮助、版本动态和创作经验：
遇到可以复现的 Bug 或明确的功能需求，也可以直接提交 GitHub Issue。
欢迎贡献代码、文档、测试、供应商适配和问题复现。
开始开发前请阅读 CONTRIBUTING.md。本地克隆后建议立即安装项目的 pre-commit 钩子：
uv run pre-commit install
ArcReel 采用 GNU Affero General Public License v3.0，附加条款见 NOTICE。
如果你的组织无法采用 AGPL-3.0，或者希望在不承担 AGPL 开源义务的情况下进行商业部署、白标或再分发，请联系：
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