An intelligent wrapper that automatically refines and expands simple user instructions into professional-grade AI prompts.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install prompt-enhancer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install prompt-enhancer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Prompt Enhancer is a sophisticated utility designed to bridge the gap between casual user intent and expert-level AI execution. By acting as a transparent middleware for Openclaw Skills, it analyzes raw inputs and reconstructs them using proven prompt engineering principles such as role assignment, context inference, and output specification.
This skill ensures that even the most basic commands result in high-fidelity, production-ready outputs without requiring the user to master complex prompting techniques manually. It serves as both a productivity booster and an educational tool, showing users the exact anatomy of a high-performing prompt before delivering the final result.
To integrate this capability into your agent environment, ensure you are utilizing the Openclaw framework.
# Navigate to your skills directory
cd openclaw/skills
# Pull the prompt-enhancer from the hub
git clone https://github.com/openclaw/clawhub.git
Once installed, the skill is user-invocable. Simply prefix any message with p: or prompt: to trigger the optimization process immediately.
| Component | Description |
|---|---|
| Trigger Prefix | Case-insensitive p: or prompt: at the start of a message |
| Role Assignment | Inferred expert persona (e.g., Senior Developer, Fiction Writer) |
| Task Clarification | Precise restatement of the core user objective |
| Quality Constraints | Specific performance bars like production-ready or beginner-friendly |
| Output Specification | Explicit formatting instructions such as JSON, Markdown, or code blocks |
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