An expert-level prompt engineering skill that converts raw concepts, images, and documents into structured, framework-based LLM instructions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install prompt-architect
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-architect 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 Architect?
The Prompt Architect is a specialized tool designed to elevate human-AI interaction by applying rigorous engineering principles to prompt creation. Instead of relying on trial and error, this skill utilizes proven frameworks like Chain-of-Thought (CoT), Few-Shot, and Persona-based prompting to ensure model outputs are accurate and reliable. As a core component of the Openclaw Skills library, it bridges the gap between vague user intent and technical execution.
By analyzing multimodal inputs—including text, images, and web links—the Prompt Architect synthesizes complex requirements into clear, actionable instructions. It is particularly effective for developers and power users who need to build robust system prompts or automate complex workflows using Openclaw Skills. The skill prioritizes clarity, structure, and specificity, ensuring that every generated prompt is optimized for the targeted LLM's reasoning capabilities.
Prompt Architect Use Cases
- Converting a loose business idea into a production-ready system prompt.
- Optimizing underperforming prompts by diagnosing logic flaws and applying structured frameworks.
- Generating detailed prompts based on visual references or external documentation links.
- Drafting multi-step reasoning workflows using the Tree-of-Thought or ReAct patterns.
- Standardizing prompt quality across a team using Openclaw Skills templates.
How Prompt Architect Works
- The skill ingests raw input, performing a deep analysis of text, images, or linked documents to identify the core intent.
- It initiates a mandatory clarification phase, asking the user 5-10 targeted questions regarding purpose, audience, style, and constraints.
- Based on the clarified requirements, the user selects the preferred output language.
- The skill selects the most appropriate engineering framework (e.g., JSON schema for data output or CoT for reasoning).
- A polished, optimized prompt is generated and delivered within a code block, complete with framework documentation and quality checks.
Prompt Architect Setup
To deploy this skill within your agent environment, follow these standard Openclaw Skills installation steps:
# Navigate to your agent's skills directory
cd my-agent/skills
# Pull the prompt-architect skill package
git clone https://github.com/openclaw/prompt-architect.git
# Register the skill with your local configuration
openclaw register prompt-architect
Prompt Architect Data Schema & Taxonomy
The Prompt Architect organizes data through a structured analysis of input metadata and user responses:
| Component | Description |
|---|---|
| Input Context | Extracted data from text, image OCR, or link scraping. |
| Clarification Map | A collection of user-defined constraints (Tone, Format, Audience). |
| Framework Mapping | Logic that matches task types to specific templates like ReAct or Few-Shot. |
| Quality Metadata | A checklist validation of clarity, specificity, and testability. |
| Final Payload | The optimized prompt string delivered in a Markdown-compatible format. |
Prompt Architect Advanced Features
- Multimodal context extraction from images and web URLs to inform prompt constraints.
- Support for advanced reasoning patterns including Tree-of-Thought and ReAct tool-use patterns.
- Integration with the wider Openclaw Skills ecosystem for cross-skill prompt optimization.
- Automated framework selection based on task classification (Creative vs. Analytical).
- Dual-language support specifically optimized for English and Arabic linguistic nuances.
SKILL.md
Loading
Related Openclaw Skills
Jack Al-Alam (جاك العلم)
A sophisticated multi-agent AI orchestration skill that provides deep product research, price comparisons, and service verification for the Saudi Arabian market.
Adobe Master Automator
A cross-platform automation bridge for the Adobe Creative Cloud suite using ExtendScript and native OS scripting hosts.
SUIROLL
A provably fair giveaway tool for AI agents on the Sui blockchain using VRF and Moltbook authentication.
KarmaBank
A decentralized credit system that enables AI agents to secure interest-free USDC loans based on their Moltbook reputation and karma scores.
Visual Prompt Engine
A data-driven engine that creates high-quality, non-repetitive AI image prompts based on real-world design trends and structured visual vocabularies.
Adversarial Prompting
A structured seven-phase methodology for solving complex problems through rigorous critique and iterative refinement within Openclaw Skills.
Featured*
