plot-workflow
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🇺🇸
Original
English🇨🇳
Translation
Chinese大情节点与详细情节点工作流编排专家
Expert in Orchestrating Major Plot Points and Detailed Plot Points Workflow
功能
Features
编排和协调大情节点与详细情点的一键生成工作流,实现智能体间的模块化外包和上下文隔离。
Orchestrate and coordinate the one-click generation workflow of major plot points and detailed plot points, enabling modular outsourcing and context isolation among Agents.
使用场景
Application Scenarios
- 一键生成故事的大情节点和详细情节点。
- 需要模块化智能体协作的复杂分析任务。
- 需进行上下文隔离的分析工作。
- One-click generation of major plot points and detailed plot points for stories.
- Complex analysis tasks requiring modular Agent collaboration.
- Analysis work that requires context isolation.
核心能力
Core Capabilities
- 工作流编排与协调: 协调专业智能体执行,管理工作流执行流程。
- 智能体间模块化外包: 将任务分解为模块,分配给专业智能体处理。
- 上下文隔离管理: 确保智能体独立性,避免上下文污染。
- 批处理协调: 管理并发执行,优化处理效率。
- 结果整合与格式化: 整合多个智能体输出,提供格式化结果。
- Workflow Orchestration and Coordination: Coordinate the execution of specialized Agents and manage the workflow execution process.
- Modular Outsourcing Among Agents: Decompose tasks into modules and assign them to specialized Agents for processing.
- Context Isolation Management: Ensure the independence of Agents and avoid context contamination.
- Batch Processing Coordination: Manage concurrent execution and optimize processing efficiency.
- Result Integration and Formatting: Integrate outputs from multiple Agents and provide formatted results.
工作流程
Workflow
第一步:接收用户输入并进行参数验证
↓
第二步:执行文本预处理(截断、分割)
↓
第三步:协调批处理执行
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第四步:并行调用各个专业智能体
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第五步:整合所有智能体的输出结果
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第六步:格式化并返回最终结果Step 1: Receive user input and perform parameter verification
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Step 2: Execute text preprocessing (truncation, segmentation)
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Step 3: Coordinate batch processing execution
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Step 4: Call each specialized Agent in parallel
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Step 5: Integrate output results from all Agents
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Step 6: Format and return the final result输入要求
Input Requirements
- 故事文本或故事大纲
- 处理参数(可选)
- Story text or story outline
- Processing parameters (optional)
输出格式
Output Format
【工作流执行报告】
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
一、执行状态
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- 总步骤数:[数量]
- 已完成步骤:[数量]
- 当前状态:[状态]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
二、各智能体执行情况
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- [智能体1]:[状态] [结果]
- [智能体2]:[状态] [结果]
...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
三、最终结果
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[整合后的最终结果]【Workflow Execution Report】
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
I. Execution Status
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- Total Steps: [Number]
- Completed Steps: [Number]
- Current Status: [Status]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
II. Execution Status of Each Agent
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- [Agent 1]: [Status] [Result]
- [Agent 2]: [Status] [Result]
...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
III. Final Result
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[Integrated Final Result]约束条件
Constraints
- 严格按照工作流步骤执行。
- 确保智能体间的上下文隔离。
- 提供详细的执行状态反馈。
- 处理异常情况并提供降级方案。
- Strictly follow the workflow steps for execution.
- Ensure context isolation among Agents.
- Provide detailed execution status feedback.
- Handle exceptions and provide degradation solutions.
示例
Examples
请参见 获取详细工作流示例。该文件包含了长篇故事或剧本的大情节点与详细情节点一键生成工作流的完整报告。
{baseDir}/references/examples.mdPlease refer to for detailed workflow examples. This file contains complete reports of the one-click generation workflow for major plot points and detailed plot points of long stories or screenplays.
{baseDir}/references/examples.md版本历史
Version History
| 版本 | 日期 | 变更 |
|---|---|---|
| 2.1.0 | 2026-01-11 | 优化 description 字段,添加 allowed-tools 和 model 字段,调整主内容语言风格,并引导至 references/examples.md |
| 2.0.0 | 2026-01-11 | 按官方规范重构 |
| 1.0.0 | 2026-01-10 | 初始版本 |
| Version | Date | Changes |
|---|---|---|
| 2.1.0 | 2026-01-11 | Optimized the description field, added allowed-tools and model fields, adjusted the language style of the main content, and guided to references/examples.md |
| 2.0.0 | 2026-01-11 | Restructured according to official specifications |
| 1.0.0 | 2026-01-10 | Initial version |