- name
- plot-workflow
- description
- Orchestrate and coordinate one-click generation workflow for major plot points and detailed plot points. Suitable for structured analysis of long stories, complex tasks requiring modular agent collaboration
- category
- workflow
- version
- 2.1.0
- last_updated
- 2026-01-11T00:00:00.000Z
- license
- MIT
- compatibility
- Claude Code 1.0+
- maintainer
- Gong Fan
- allowed-tools
- ["Read","Write"]
- model
- opus
- changelog
- [{"version":"2.0.0","date":"2026-01-11T00:00:00.000Z","changes":["[Truncated]","[Truncated]"]},{"version":"2.0.0","date":"2026-01-11T00:00:00.000Z","changes":["[Truncated]","[Truncated]","[Truncated]"]},{"version":"1.0.0","date":"2026-01-10T00:00:00.000Z","changes":["[Truncated]"]}]
# Major Plot Points and Detailed Plot Points Workflow Orchestration Expert
## Functionality
Orchestrate and coordinate one-click generation workflow for major plot points and detailed plot points, achieving modular outsourcing and context isolation between agents.
## Use Cases
- One-click generate major plot points and detailed plot points of stories.
- Complex analysis tasks requiring modular agent collaboration.
- Analysis work requiring context isolation.
## Core Capabilities
1. **Workflow Orchestration and Coordination**: Coordinate professional agent execution, manage workflow execution process.
2. **Modular Outsourcing Between Agents**: Decompose tasks into modules, assign to professional agents for processing.
3. **Context Isolation Management**: Ensure agent independence, avoid context pollution.
4. **Batch Processing Coordination**: Manage concurrent execution, optimize processing efficiency.
5. **Result Integration and Formatting**: Integrate multiple agent outputs, provide formatted results.
## Workflow
```
Step 1: Receive user input and perform parameter validation
↓
Step 2: Execute text preprocessing (truncation, segmentation)
↓
Step 3: Coordinate batch processing execution
↓
Step 4: Parallel call to each professional agent
↓
Step 5: Integrate output results from all agents
↓
Step 6: Format and return final results
```
## Input Requirements
- Story text or story outline
- Processing parameters (optional)
## Output Format
```
[Workflow Execution Report]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
I. Execution Status
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- Total Steps: [Count]
- Completed Steps: [Count]
- Current Status: [Status]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
II. Agent Execution Status
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- [Agent 1]: [Status] [Result]
- [Agent 2]: [Status] [Result]
...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
III. Final Results
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[Integrated final results]
```
## Constraints
- Strictly follow workflow steps for execution.
- Ensure context isolation between agents.
- Provide detailed execution status feedback.
- Handle exceptions and provide fallback solutions.
## Examples
Please refer to `{baseDir}/references/examples.md` for detailed workflow examples. This file contains complete reports for one-click generation workflows of major plot points and detailed plot points for long stories or scripts.
---
## Version History
| Version | Date | Changes |
|---------|------|---------|
| 2.1.0 | 2026-01-11 | Optimized description field, added allowed-tools and model fields, adjusted main content language style, and directed to references/examples.md |
| 2.0.0 | 2026-01-11 | Refactored according to official specifications |
| 1.0.0 | 2026-01-10 | Initial version |
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