A masterclass in prompt engineering techniques for LLMs, image generators, and video models delivered through the Openclaw Skills ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 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 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 Guide?
This skill provides a comprehensive framework for interacting with state-of-the-art AI models using the inference.sh CLI. By leveraging Openclaw Skills, developers and researchers can master structured prompting for platforms like Claude, GPT-4, and FLUX. It covers the fundamental architecture of effective prompts, from role definition and task clarity to complex chain-of-thought reasoning and few-shot learning.
The guide ensures consistent and high-quality outputs across text, image, and video media types. Whether you are building automated workflows or refining creative assets, this resource integrates perfectly into the Openclaw Skills environment to provide a standardized approach to AI communication.
Prompt Engineering Guide Use Cases
- Debugging and reviewing source code with specific security constraints using LLM role-playing.
- Generating high-fidelity photorealistic images or cinematic video sequences with precise composition control.
- Converting unstructured natural language into valid, parseable JSON schemas for database injection.
- Automating complex business analysis through multi-turn reasoning and iterative refinement.
- Creating formal business communications or marketing content with specific tonal requirements using Openclaw Skills.
How Prompt Engineering Guide Works
- Initialize the environment by installing the inference.sh CLI and logging in to access supported AI models within the Openclaw Skills framework.
- Select the target model, such as Claude for reasoning or FLUX for images, based on the specific technical requirement.
- Construct a structured prompt using the Role-Task-Constraint-Format framework to ensure model alignment and predictable behavior.
- Execute the prompt through the infsh app run command with specific input parameters and system instructions.
- Analyze the model output and perform iterative refinement to optimize results based on specific performance criteria defined in the Openclaw Skills documentation.
Prompt Engineering Guide Setup
To get started with this skill, install the necessary CLI tool to interface with Openclaw Skills:
curl -fsSL https://cli.inference.sh | sh && infsh login
You can also extend the functionality by adding related Openclaw Skills packages:
npx skills add inference-sh/skills@llm-models
Prompt Engineering Guide Data Schema & Taxonomy
The skill utilizes a structured input/output schema to manage AI interactions, ensuring compatibility across the Openclaw Skills ecosystem.
| Field | Description | Type |
|---|---|---|
prompt |
The primary instruction or query sent to the AI model | String |
system |
High-level persona or behavioral constraints for the agent | String |
negative_prompt |
Elements to exclude from generated media (Image/Video) | String |
input |
The full JSON payload required for the specific API call | Object |
output |
The model response, which can be text, JSON, or media links | String/Object |
Prompt Engineering Guide Advanced Features
- Multi-turn reasoning support for solving multi-layered business problems through sequential Openclaw Skills calls.
- Negative prompting capabilities to refine generative image and video outputs and remove unwanted artifacts.
- System-level role-playing to enforce strict persona and safety constraints across different model providers.
- Structured JSON extraction for creating reliable data pipelines between different AI agents and Openclaw Skills.
- Iterative refinement workflows to progressively improve prompt quality through versioned testing and quality keywords.
SKILL.md
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