ArcReel

Source#

• Repository: ArcReel/ArcReel
• Last source update: 2026-04-05
• Last verified: 2026-04-05

Tags#

Integration notes#

Framework-level abstraction; derive bounded worker contracts from concrete tasks and APIs in docs/examples.

worker.md example#

Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.

---
id: arcreel-repo-derived-worker
name: ArcReel Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/arcreel/
source_repository: https://github.com/ArcReel/ArcReel
repository_default_branch: main
repository_language: Python
repository_license: AGPL-3.0
repository_updated_at: 2026-04-05
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-04-05
tags:
  - ai-agent
  - ai-video-generator
  - claude-agent-sdk
  - docker
  - gemini
  - grok
---

# ArcReel Repo-Derived Worker

## Repo-derived summary
- Registry summary: AI Agent 驱动的开源视频生成工作台 — 小说→角色/场景/道具设计→剧本→分镜图→视频，跨镜头角色与场景一致 | Open-source AI video workspace powered by AI Agents, Nano Banana 2 & Veo 3.1 / Grok / Seedance / OpenAI
- Repository description: AI Agent 驱动的开源视频生成工作台 — 小说→角色/场景/道具设计→剧本→分镜图→视频，跨镜头角色与场景一致 | Open-source AI video workspace powered by AI Agents, Nano Banana 2 & Veo 3.1 / Grok / Seedance / OpenAI
- Stars (snapshot): 783
- Primary language: Python
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/ArcReel/ArcReel
- https://github.com/ArcReel/ArcReel/blob/main/README.md

## Evidence notes (from repository text)
- README summary paragraph: 开源 AI 视频生成工作台 — 从小说到短视频，全程 AI Agent 驱动 Open-source AI Video Generation Workspace — Novel to Short Video, Powered by AI Agents
- Open-source AI Video Generation Workspace — Novel to Short Video, Powered by AI Agents
- 基于 Claude Agent SDK ，编排 Skill + 聚焦 Subagent 多智能体协作，自动完成从剧本创作到视频合成的完整流水线
- A["📖 上传小说"] --> B["📝 AI Agent 生成分镜剧本"]
- - **多智能体架构** — 编排 Skill 检测项目状态并自动调度聚焦 Subagent，每个 Subagent 独立完成一项任务后返回摘要
- - **渐进式分集规划** — 人机协作切分长篇小说：peek 探测 → Agent 建议断点 → 用户确认 → 物理切分，按需制作

## Installation hints found in README
- `npm install && cd ..`

## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "task",
    "context"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "task": {
      "type": "string"
    },
    "context": {
      "type": "object"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "status",
    "result"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "ok",
        "retryable_error",
        "invalid_request",
        "invalid_output"
      ]
    },
    "result": {
      "type": "object"
    }
  }
}
```

### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use

## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.

How to use#

• Save this as a worker spec file (for example: arcreel-my-task.worker.md).
• Replace the input/output schemas and purpose with your real bounded task.
• Enforce schema validation + timeout + retry policy in your runtime before production use.

Citation#

Reference URL: https://worker.md/registry/arcreel/

Source URL: https://github.com/ArcReel/ArcReel