A sophisticated three-layer AI writing agent designed for professional content generation, rewriting, and strategic ideation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install writing-assistant-pro
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 writing-assistant-pro 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 Writing Assistant?
The Writing Assistant is an advanced AI agent framework built to handle the complexities of professional writing and content strategy. As a key component of the Openclaw Skills library, it utilizes a unique three-layer architecture—Identity, Operations, and Knowledge—to provide structured and context-aware outputs. Whether you are drafting a new article or optimizing existing copy, this skill acts as a digital Chief Writer, ensuring every piece of content aligns with specific brand souls and user requirements.
By leveraging specialized agents for different stages of the creative process, the Writing Assistant goes beyond simple text generation. It integrates quality checks and platform-specific knowledge to produce high-performing copy for modern digital platforms. This skill transforms how developers and creators approach the writing lifecycle within the Openclaw Skills ecosystem.
Writing Assistant Use Cases
- Generating professional long-form articles and social media posts naturally.
- Optimizing and rewriting existing drafts for better clarity and engagement.
- Creating viral-ready headlines tailored for platforms like Little Red Book (Xiaohongshu).
- Planning content calendars through strategic topic ideation and planning.
- Ensuring brand consistency across multiple sessions using the persistent Identity layer.
How Writing Assistant Works
- The system initializes through a startup script, loading the three-tier architectural framework.
- When a user provides a prompt (e.g., "Write about..."), the Identity layer establishes the specific persona and tone required for the task.
- The Operations layer selects the appropriate agent—Write, Rewrite, Headline, or Ideate—to process the request.
- During generation, the Heartbeat mechanism performs real-time quality checks to maintain high standards.
- The Knowledge layer injects platform-specific expertise and remembers cross-session context to refine the final output.
Writing Assistant Setup
To deploy the Writing Assistant, navigate to your skill directory and run the startup script provided in the package:
cd ~/writing-assistant
./scripts/startup.sh
Once the system is active, you can interact with the agents through direct conversational triggers like "Write a...", "Rewrite this...", or "Generate a headline for...".
Writing Assistant Data Schema & Taxonomy
The skill organizes its operations and data through a hierarchical file structure to ensure modularity and persistence:
| Directory | Component | Description |
|---|---|---|
| identity/ | Identity Layer | Defines the core soul, role (Chief Writer), and user profile for the assistant. |
| operations/ | Operational Layer | Houses the 4 specialized agents, quality heartbeat mechanism, and role guidelines. |
| knowledge/ | Knowledge Layer | Stores writing techniques, platform-specific knowledge, and shared session context. |
Files like MEMORY.md and shared-context/ ensure that the agent learns from previous interactions and maintains a consistent knowledge base.
Writing Assistant Advanced Features
- Triple-Layer Architecture: Separates core personality, operational logic, and domain knowledge for maximum flexibility.
- Multi-Agent Support: Features four dedicated agents (write, rewrite, headline, ideate) optimized for specific writing tasks.
- Heartbeat Mechanism: An automated quality control system that monitors the health and accuracy of the generated content.
- Cross-Session Context: Utilizes a shared-context folder to maintain continuity in content strategy across different conversations.
- Platform-Specific Optimization: Includes built-in knowledge for specific social platforms, enhancing the performance of Openclaw Skills in digital marketing scenarios.
SKILL.md
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