A sophisticated prompt engineering toolkit designed to generate structured, high-context AI prompts for specialized development and business workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-prompt-generator
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 smart-prompt-generator 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 AI Prompt Generator?
The AI Prompt Generator is an essential addition to the Openclaw Skills library, designed to bridge the gap between vague user intent and high-quality AI outputs. By leveraging structured templates and best practices, it empowers developers and creators to produce precise instructions for LLMs. This skill eliminates the trial-and-error often associated with AI interactions by providing a framework for role-based, step-by-step, and example-driven prompting.
Whether you are architecting a complex mobile application or drafting a strategic business plan, this skill ensures that your AI collaborator receives the necessary context, constraints, and formatting requirements. By using these Openclaw Skills, users can significantly improve the consistency and technical accuracy of AI-generated code, creative writing, and problem-solving solutions.
AI Prompt Generator Use Cases
- Creating structured Flutter app architectures including state management and API integration.
- Developing complex game mechanics and entity systems for 2D platformers or puzzle games.
- Formulating technical troubleshooting requests with clear success criteria and constraints.
- Generating educational content tailored to specific audience levels and learning objectives.
- Drafting comprehensive marketing campaigns and business growth strategies.
How AI Prompt Generator Works
- The user selects a specific prompt category such as Programming, Business, or Creative Writing.
- The skill identifies the necessary placeholders like role, task, context, and constraints based on the chosen template.
- User inputs specific goal details which are then synthesized into a structured framework.
- The generator applies tone and style customization (e.g., Technical, Professional) and length controls.
- A final, optimized prompt is produced, ready to be utilized in an AI tool for high-fidelity output.
- Users can iteratively refine the prompt based on initial results to achieve perfect alignment.
AI Prompt Generator Setup
To integrate this prompt generation capability into your environment, follow these steps:
- Ensure your AI agent has access to the Openclaw Skills repository.
- Install the prompt-generator skill through your preferred package manager or CLI:
# Example installation via CLI
openclaw install prompt-generator
- Configure any custom template variables or default tones in your local configuration file.
AI Prompt Generator Data Schema & Taxonomy
The skill organizes its templates and metadata using a structured taxonomy to ensure cross-platform compatibility within Openclaw Skills.
| Component | Description | Data Type |
|---|---|---|
| Category | The domain (e.g., Flutter, Business) | String |
| Structure | The Markdown framework for the prompt | Markdown |
| Variables | Custom placeholders like [TOPIC] or [ROLE] |
Array |
| Constraints | Specific limitations (e.g., word count, style) | List |
| Examples | Reference input/output pairs for the AI | Markdown Block |
AI Prompt Generator Advanced Features
- Multi-Step Prompting: Generate a sequential chain of prompts where the output of an analysis stage informs the implementation stage.
- Template Variable System: Create reusable frameworks using custom placeholders for audience, length, and format.
- Conditional Logic: Adapt prompt structures based on previous AI responses or specific environment conditions.
- Iterative Refinement Hooks: Built-in quality indicators to help users identify and fix vague or conflicting instructions.
SKILL.md
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