A professional-grade assistant that uses a 16-technique framework to build high-performance prompts and structured SKILL.md documentation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-with-prompt-engineering
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 skill-with-prompt-engineering 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 Prompt Engineering Expert?
The Prompt Engineering Expert is a specialized utility designed to bridge the gap between basic AI instructions and high-performance agent behavior. Built on the Gen AI Space 16-technique framework, this skill helps developers move beyond simple requests by applying advanced logic such as Tree of Thought, Chain of Thought, and ReAct prompting. It is an essential tool for anyone looking to optimize their library of Openclaw Skills, ensuring that every agent interaction is grounded in proven engineering principles.
This skill operates in two primary modes: generating standalone, ready-to-use prompts for immediate tasks and drafting comprehensive SKILL.md files for long-term agent capabilities. By focusing on behavior control, persona definition, and iterative refinement, it eliminates common AI failures like ambiguity and hallucination. Adding this tool to your Openclaw Skills collection empowers you to build more reliable, context-aware, and professional AI agents.
Prompt Engineering Expert Use Cases
- Creating optimized system prompts for specialized AI personas.
- Building and refining SKILL.md files for new entries in your Openclaw Skills directory.
- Upgrading weak prompts using advanced techniques like Few-shot or Roleplay prompting.
- Designing complex workflows that require decomposed prompting and multi-step reasoning.
- Implementing behavior controls to ensure AI agents stay within specific operational boundaries.
How Prompt Engineering Expert Works
- The user initiates the process by describing a task, and the skill introduces its framework-based approach.
- The skill analyzes the complexity and identifies which of the 16 techniques (e.g., Zero-shot, Meta-prompting, or Self-consistency) best fits the goal.
- It uses placeholders and templates to collect missing context, ensuring the AI never has to guess user requirements.
- A draft is generated using a strict architecture: Role, Context, Task, Constraints, and Output.
- The skill undergoes a self-review phase using a ReAct loop to identify weaknesses and iteratively refine the content over 2-3 rounds.
- The final refined prompt or SKILL.md is delivered with a technical explanation of the design logic used.
Prompt Engineering Expert Setup
To add this capability to your environment, include the skill file in your local directory. Ensure your agent is configured to access the Openclaw Skills repository for framework updates.
# Navigate to your local skills folder
cd ~/openclaw-agents/skills
# Create the skill definition file
touch prompt-engineering-expert.md
Once added, you can trigger the skill by asking your agent to help you write a prompt or create a new skill for your Openclaw Skills library.
Prompt Engineering Expert Data Schema & Taxonomy
The skill organizes its output into structured markdown components that follow the standard Openclaw Skills taxonomy.
| Component | Data Type | Description |
|---|---|---|
| Frontmatter | YAML | Defines skill name, triggers, and metadata descriptions. |
| Prompt Mode | Markdown | A structured string consisting of Role, Context, Task, and Constraints. |
| Skill Mode | Markdown | A complete SKILL.md file with versioned workflows and rules. |
| Refinement Log | String | A history of the iterative review rounds and improvements made. |
| Technique Map | List | A mapping of which of the 16 techniques were applied to each section. |
Prompt Engineering Expert Advanced Features
- Iterative Refinement: Automatically runs 2-3 rounds of self-critique to improve prompt quality before delivery.
- 16-Technique Library: Access to advanced methods including Tree of Thought, Decomposed Prompting, and Meta-prompting.
- Behavior Control: Implements strict "must not do" rules to prevent agent drift and ensure reliable execution.
- SKILL.md Optimization: Specifically formatted for the Openclaw Skills ecosystem, including specific trigger definitions for better agent activation.
- Reasoned Action: Uses ReAct loops to verify if the generated prompt meets all 5 core quality criteria.
SKILL.md
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