An intelligent framework that translates ambiguous user input into structured requirements and standardized delivery checklists.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install requirement-interpreter
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 requirement-interpreter 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 Requirement Interpreter?
The Requirement Interpreter is a professional-grade skill designed to bridge the communication gap between human intent and AI execution. By utilizing a sophisticated multi-level classification system—encompassing 6 primary domains and over 25 sub-scenarios—this skill ensures that every project starts with a clear, technically sound foundation. It is a vital component of Openclaw Skills, helping users move from vague concepts to actionable blueprints.
Beyond simple translation, the skill employs a structured interview logic to extract critical missing information, such as target audience, visual style, and technical constraints. It concludes by generating a comprehensive delivery checklist, ensuring that the final output meets industry standards for file formats, documentation, and asset quality.
Requirement Interpreter Use Cases
- Clarifying vague project descriptions that lack essential technical details
- Handling complex requests involving specialized industry knowledge
- Guiding high-complexity workflows that require a step-by-step interview approach
- Accelerating urgent projects where rapid and accurate comprehension is a prerequisite for success
How Requirement Interpreter Works
- The optimized classifier engine analyzes the user input to assign it to one of the 25+ sub-scenarios.
- The system performs a case library lookup to identify industry best practices and similar successful patterns.
- A structured interview framework generates a series of targeted questions to define goals and constraints.
- The delivery standard module maps the requirement to a specific output checklist (e.g., source files, code, or documentation).
- The skill produces a final standardized requirement blueprint ready for AI execution.
Requirement Interpreter Setup
To integrate this skill into your environment, follow these steps:
# Clone the skill repository
git clone https://github.com/openclaw/requirement-interpreter.git
# Navigate to the directory and install dependencies
cd requirement-interpreter
pip install -r requirements.txt
# Initialize the case library and reference patterns
python optimized_classifier.py --init
Requirement Interpreter Data Schema & Taxonomy
The skill manages information through a multi-faceted metadata taxonomy as detailed below:
| Data Component | Format | Description |
|---|---|---|
| Case Library | JSON | A repository of industry-specific best practices and similar scenarios |
| Requirement Patterns | Markdown | Templates for common technical and creative request structures |
| Delivery Standards | Python Module | Logic that maps requirement types to necessary file outputs (e.g., PSD, SQL, PDF) |
| Checklists | Assets | Pre-defined verification lists for ensuring deliverable completeness |
Requirement Interpreter Advanced Features
- Multi-level classification achieving over 95% accuracy in primary domain identification
- Dynamic case matching that aligns user requests with proven industry templates
- Standardized delivery checklists for over 8 distinct project types including Web, Mobile, and Data Analysis
- Integration-ready architecture compatible with other Openclaw Skills for automated end-to-end project management
- Support for diverse file taxonomies including source code, design assets, and analytical reports
SKILL.md
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