story-pipeline

What This Skill Does

The story-pipeline skill is a robust, agent-driven content generation framework designed for long-form narrative construction. Unlike simple linear text generation, it functions as a stateful engine that maintains thematic and narrative consistency across multiple episodes. It utilizes a graph-based management system to track character arcs, location history, and plot hooks, ensuring that your story maintains its internal logic over time. By incorporating a dual-layer validation mechanism—first through an automated AI quality assessment scoring system, and second through a human-in-the-loop confirmation gate—it allows users to curate the creative direction of their stories while minimizing hallucinations or coherence drops. It is essentially an AI writer's studio that manages the heavy lifting of continuity while giving the user total editorial control.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/hexidyg/story-generator Once installed, the pipeline will initialize its directory structure at data/pipeline_state.json to handle state persistence between sessions.

Use Cases

This skill is perfect for long-form content creators, novelists, and RPG game masters. Use it to build serialized episodic web novels, complex campaign lore for tabletop games, or script development for interactive media. Because it supports parallel story tracking, you can manage multiple unique narrative threads simultaneously without data leakage between them.

Example Prompts

1. "Start a new story pipeline, theme: cyber-noir detective thriller set in 2099 Neo-Shanghai, target episodes: 12."
2. "Continue story pipeline [ID: 8842], but modify the last scene to focus more on the internal monologue of the antagonist."
3. "Pause the current story pipeline and summarize the status of all active character hooks."

Tips & Limitations

The AI quality check is highly sensitive to the initial context; provide a detailed premise during the start command for better results. The graph management system is most effective when characters are clearly introduced within the first three episodes. Please note that the maximum retry limit for the AI Quality Check is set to three attempts per episode to prevent infinite loops; if it fails repeatedly, consider providing explicit guidance to the AI through a manual modification request.