A powerful orchestration skill for generating massive, structured documents by coordinating multiple AI sub-agents while maintaining strict consistency.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install doc-orchestrator
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 doc-orchestrator 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 Doc Orchestrator?
Doc Orchestrator is designed to overcome the context limits of single-agent interactions when producing extensive technical or creative works. By utilizing Openclaw Skills, this tool implements a contract-first approach where shared definitions are established before delegating tasks to specialized sub-agents. This ensures that long documents like PRDs, technical specifications, and research reports remain coherent across hundreds of pages.
The skill provides a robust framework for serial and parallel execution, ensuring that chapters with dependencies are written in the correct order. By persisting the orchestration state to a JSON file, it allows for seamless recovery even after context compaction, making it a reliable solution for high-volume content generation within the Openclaw Skills ecosystem.
Doc Orchestrator Use Cases
- Generating comprehensive Product Requirement Documents (PRDs) exceeding 1,000 lines.
- Building complex technical specifications with cross-referenced modules and shared enums.
- Creating extensive worldbuilding bibles for gaming or creative writing.
- Producing deep-dive research reports with multiple interconnected chapters.
- Orchestrating parallel content generation for large-scale documentation projects using Openclaw Skills.
How Doc Orchestrator Works
- Build a dependency graph to identify which chapters rely on shared definitions or previous outputs.
- Initialize a persistent state JSON file to track the status of each chapter (pending, running, done).
- Define a central 'Contract' containing global conventions and shared values to maintain consistency.
- Execute chapter generation using sub-agents in a serial or parallel sequence based on the dependency graph.
- Merge the individual chapter files while stripping duplicate titles and performing consistency validation.
Doc Orchestrator Setup
To begin using this orchestration pattern within Openclaw Skills, ensure your project directory is initialized. You can prepare the environment using the following commands:
# Create a task directory for your document
mkdir -p docs/my-large-doc
# Initialize the orchestration state file
touch docs/my-large-doc/TASK-001-orchestration.json
Configure your sub-agent prompt templates to reference the contract.md file as the single source of truth for all global conventions.
Doc Orchestrator Data Schema & Taxonomy
The Doc Orchestrator skill relies on a structured JSON state file and a standardized file naming convention to manage document assembly.
| File Type | Naming Convention | Description |
|---|---|---|
| Orchestration State | {TASK-ID}-orchestration.json | Tracks chapter status, dependencies, and file paths. |
| Contract File | TASK-XXX-contract.md | Contains global definitions and shared conventions. |
| Chapter Files | TASK-XXX-chN.md | Individual outputs from sub-agents for specific sections. |
| Final Document | TASK-XXX-final.md | The compiled and validated output file. |
All metadata within the Openclaw Skills orchestration JSON includes chapter titles, completion status (pending, running, done, failed), and dependency arrays.
Doc Orchestrator Advanced Features
- Contract-first decomposition to prevent inconsistent values across chapters.
- Persistent state management allowing for workflow resumption after context compaction or agent resets.
- Automated parallel scheduling to optimize generation speed for independent document sections.
- Multi-agent coordination with specific formatting rules to prevent redundant headers and titles.
- Post-merge consistency validation using shell scripts to grep for conflicting patterns or broken references.
SKILL.md
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