Afrexai Prompt Engineering

What This Skill Does

Afrexai Prompt Engineering is a comprehensive methodology designed to transform how users interact with Large Language Models. Instead of relying on trial and error, this skill implements the CRAFT framework (Context, Role, Action, Format, Tests) to turn vague requests into production-grade prompt systems. It empowers users to build modular, repeatable prompts that yield high-quality outputs, reduce hallucinations, and ensure consistent behavior across various LLM platforms. Whether you are automating complex workflows or drafting professional communication, this skill provides the architectural blueprint to ensure your prompts are robust, well-defined, and scalable.

Installation

To integrate this methodology into your environment, run the following command in your terminal:

clawhub install openclaw/skills/skills/1kalin/afrexai-prompt-engineering

Ensure that your OpenClaw environment is updated to the latest version before initiating the installation to ensure compatibility with the prompt templating tools included in this package.

Use Cases

• Corporate Compliance: Use the structured role-based prompting to review complex legal contracts or policy documents with consistent scrutiny.
• Technical Documentation: Leverage the format-enforcement protocols to ensure all technical guides adhere to specific company style guides and output structures.
• Content Strategy: Apply the CRAFT framework to generate high-conversion marketing copy by defining precise roles and evaluation criteria.
• Code Review: Implement the 'Staff Engineer' persona to automate PR feedback, ensuring that common edge cases are flagged consistently.

Example Prompts

1. "Afrexai, use the CRAFT framework to build a prompt for a senior technical writer that analyzes a draft of a new API documentation file and flags any jargon that isn't defined in the internal glossary."
2. "Review my current email triage prompt using the 8-point health check diagnostic. Tell me which areas are failing and suggest improvements for better accuracy."
3. "Create a prompt template for a market researcher role that generates a 3-part competitive analysis summary, ensuring it follows the specific output format outlined in the Afrexai documentation."

Tips & Limitations

• The 8/8 Gold Standard: Always run your draft through the 8-point health check. A score below 6 indicates that your prompt is likely to drift during long sessions.
• Role Precision: Avoid generic personas like 'helpful assistant.' The more specific you are about the background and domain expertise, the higher the reasoning quality of the model.
• Test Rigor: The most common point of failure is missing negative constraints. Use the 'Rules' section of the template to explicitly list what the model should NEVER do, especially when handling sensitive data or specific formatting requirements.