# Plot Workflow

> 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

- Skill: `majiayu000/plot-workflow` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/plot-workflow`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/plot-workflow/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/plot-workflow

---


# 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 |