Promptify is an intelligent prompt engineering utility that transforms unstructured user input into clear, structured, and effective AI instructions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install promptify
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 promptify 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 Promptify?
Promptify is a sophisticated tool designed to enhance the quality of interactions with Large Language Models. As part of the Openclaw Skills ecosystem, it moves beyond simple text rewriting by incorporating a model-agnostic optimization process. It analyzes user intent, identifies missing context, and can even trigger sub-agents to perform codebase research or web searches to ensure the final prompt is as precise as possible.
By following a strict core contract—Role, Task, Constraints, and Output—Promptify ensures that every instruction provided to an AI agent is actionable and well-structured. This skill is particularly valuable for developers who need to bridge the gap between vague ideas and production-ready AI outputs while maintaining high keyword density for Openclaw Skills performance.
Promptify Use Cases
- Refining ambiguous instructions like "fix this code" into detailed technical specifications.
- Automatically gathering context from a local repository to improve refactoring prompts.
- Performing real-time web research on libraries or APIs to include latest best practices in a prompt.
- Standardizing organizational prompt formats using XML tags for complex multi-step workflows.
How Promptify Works
- Analyzes the input for specific triggers related to coding, writing, or analysis.
- Parses optional modifiers such as +ask, +deep, or +web to determine the research depth.
- Dispatches sub-agents in parallel to explore the codebase or search the web if necessary.
- Strips unnecessary fluff and filler words to prioritize token efficiency.
- Applies the Core Contract to ensure the prompt defines a Role, Task, Constraints, and Output format.
- Synthesizes all gathered data into a structured output and copies it to the system clipboard.
Promptify Setup
To integrate this capability into your workflow, ensure your agent has access to the Promptify skill definition within your Openclaw Skills directory.
# Trigger prompt optimization directly from your CLI agent
/promptify "optimize my react component prompt" +deep
Promptify Data Schema & Taxonomy
Promptify utilizes a structured mapping system to ensure every optimized prompt meets quality standards. The data organization follows this taxonomy:
| Element | Purpose |
|---|---|
| Role | Assigns a specific expert persona to the AI. |
| Task | Defines the primary action-oriented objective. |
| Constraints | Outlines limitations and context-specific requirements. |
| Output | Specifies the desired format, such as JSON, XML, or Markdown. |
Promptify Advanced Features
- Multi-agent dispatch for parallel processing of codebase and web research.
- Intelligent auto-detection of research needs based on keyword signals like "refactor" or "latest."
- Automated clipboard integration via system commands for seamless workflow transitions.
- Support for XML tagging to handle complex, multi-layered prompt structures in Openclaw Skills.
SKILL.md
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