An automated workflow for generating continuous, high-quality episodic stories with integrated AI review and graph-based consistency management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install shorts-builder-cn
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install shorts-builder-cn using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Story Generation Pipeline?
The Story Generation Pipeline is a specialized skill designed to manage the complexities of long-form narrative creation. It leverages advanced LLMs to generate sequential episodes while maintaining strict character and plot consistency through a robust graph management system.
By integrating this into your Openclaw Skills library, developers and writers can automate the heavy lifting of story structure. The skill ensures every plot hook is tracked and every character arc follows a logical progression, making it an essential tool for creators working on episodic scripts, web novels, or interactive media.
Story Generation Pipeline Use Cases
- Generating multi-episode web novels or scripts with consistent character development.
- Managing complex plot hooks and story arcs across long-running digital content projects.
- Automating script quality assurance using AI-driven scoring before human review.
- Building interactive storytelling experiences that require state persistence and pausing capabilities.
How Story Generation Pipeline Works
- The user initializes a new story pipeline by defining a theme, target episode count, and artistic style.
- The engine generates an episode by querying the previous episode's plot graph to ensure narrative continuity.
- An AI reviewer evaluates the content against metrics like character consistency and pacing, retrying up to three times if the score is below the 7/10 threshold.
- Validated content is presented for human confirmation to either approve, modify, or pause the workflow.
- Upon approval, the plot graph is updated via a remote API and the pipeline automatically proceeds to the next episode.
Story Generation Pipeline Setup
To begin using this skill within your Openclaw Skills environment, ensure you have your remote graph API configured and follow these steps:
# Initialize the story pipeline environment and check state files
python pipeline.py --init
# Start a new story with a theme and target length
# Example: python pipeline.py --theme "Cyberpunk Rebellion" --episodes 10
Ensure that the data/pipeline_state.json file has appropriate write permissions for persistent state tracking.
Story Generation Pipeline Data Schema & Taxonomy
The skill organizes its narrative data using a combination of local state files and remote graph structures:
| Component | Format | Description |
|---|---|---|
| pipeline_state.json | JSON | Tracks current episode, status (generating, paused, etc.), and AI review metadata. |
| Plot Graph | API/JSON | Stores entities (Characters, Scenes) and hook statuses (Open, Closed, New). |
| AI Review Report | Object | Detailed breakdown of logic scores, emotional curves, and rhythm control. |
Story Generation Pipeline Advanced Features
- Multi-pipeline support allowing users to manage different story themes and projects concurrently.
- Automated hook tracking system that identifies and closes narrative loops across multiple episodes.
- Persistent state management enables workflows to be paused and resumed using a unique pipeline_id.
- Remote webhook integration for synchronizing graph data with external creative tools or databases.
- Customizable AI quality gates with adjustable scoring thresholds for different creative requirements.
SKILL.md
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