An advanced AI framework designed to architect, generate, and optimize production-grade agent skills through structured interviews and rigorous evaluation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-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 skill-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 Skill Creator Ultra?
Skill Creator Ultra acts as a specialized Skill Architect, bridging the gap between human domain expertise and technical AI implementation. It allows users to package their institutional knowledge into high-quality Openclaw Skills without needing to master complex prompt engineering.
Rather than treating a skill as a simple text instruction, this tool builds a comprehensive system architecture. Every generated skill includes a clear North Star goal, step-by-step logic, pattern-based examples (DNA), and safety guardrails to ensure reliability in real-world environments.
Skill Creator Ultra Use Cases
- Automating repetitive manual workflows like report generation, data parsing, or meeting summaries.
- Converting abstract business ideas into functional AI agent capabilities for specialized tasks.
- Refining existing Openclaw Skills that struggle with hallucinations or inconsistent output formatting.
- Building complex multi-skill systems where multiple agents or sub-tasks must be orchestrated seamlessly.
How Skill Creator Ultra Works
- Deep Interview: The agent conducts a structured interview to extract triggers, steps, input/output requirements, and edge cases.
- Knowledge Extraction: Raw information is parsed and organized into a standardized skill schema.
- Pattern Detection: The system analyzes task complexity to determine the optimal file structure and logic requirements.
- Skill Generation: A full production package is created, including the SKILL.md file, resource documents, and execution scripts.
- Live Testing & Refine: The agent performs a dry run of the new skill, providing a Quality Score and making adjustments based on user feedback.
- Quantitative Evaluation: For complex tasks, the skill is scored across seven dimensions including correctness, safety, and efficiency.
Skill Creator Ultra Setup
To start building your own Openclaw Skills, you can trigger the creator by describing your desired automation. No complex installation is required if you are already using a compatible AI coding environment.
# Trigger the architect with a simple command
"Create a skill to automate my weekly developer updates"
The agent will then guide you through the 8-phase pipeline to generate your deployment-ready skill package.
Skill Creator Ultra Data Schema & Taxonomy
Skill Creator Ultra organizes output based on a Complexity Score (1-21+). The standard data structure includes:
| Component | Purpose |
|---|---|
| SKILL.md | The core logic file containing metadata, instructions, and constraints. |
| /examples | A directory of high-quality pattern templates used to guide the AI behavior. |
| /resources | Supplementary markdown files for deep knowledge or advanced logic patterns. |
| /scripts | System-level execution capabilities for automated tasks. |
| Metadata | Frontmatter containing semantic triggers for the Openclaw Skills framework. |
Skill Creator Ultra Advanced Features
- System Mode: Defines skill boundaries and I/O contracts for multi-agent orchestration.
- 7-Dimension Scoring: Quantitative assessment of Correctness, Completeness, Format, Adherence, Safety, Efficiency, and Robustness.
- Automated Security Scanning: Identifies prompt injection risks, PII leaks, and hardcoded secrets before deployment.
- Semantic Trigger Optimization: Refines the skill description to maximize trigger accuracy within the Openclaw Skills ecosystem.
- Error Recovery Logic: Implements decision trees and confidence scores to handle ambiguous user inputs.
SKILL.md
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