A professional tool that converts fragmented product ideas into structured, high-fidelity requirement documents optimized for Spec Driven Development (SDD).
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sdd-requirements-normalizer
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 sdd-requirements-normalizer 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 SDD Requirements Normalizer?
The SDD Requirements Normalizer is a specialized Openclaw Skills utility designed to bridge the gap between messy initial product brainstorming and rigorous technical execution. It takes scattered inputs—such as chat logs, meeting minutes, rough feature ideas, or even screenshots—and synthesizes them into professional requirement documents. This ensures that goals, scope, and user flows are clearly defined before development begins.
By utilizing this skill, teams can move away from verbal agreements and default understandings toward a structured SDD model. It actively fills in critical gaps in interaction behavior, module layout, and UX constraints, creating a reliable foundation for Figma prototyping, wireframing, and frontend implementation.
SDD Requirements Normalizer Use Cases
- Converting scattered meeting notes or chat transcripts into formal requirement documents.
- Turning vague product visions from founders or stakeholders into actionable technical specs.
- Generating structured feature lists and interaction rules for UI/UX designers.
- Standardizing semi-finished PRDs into a unified Spec Driven Development format.
- Filling in missing UX details like empty states, error handling, and responsive behavior for existing ideas.
How SDD Requirements Normalizer Works
- Input Extraction: The skill analyzes raw, mixed inputs to extract core goals, pain points, key objects, actions, and constraints.
- Assumption Mapping: It distinguishes between known facts and reasonable assumptions, documenting the latter in a dedicated section to ensure project momentum.
- UX & Layout Enrichment: The agent references an interaction checklist to define primary vs. secondary actions, information hierarchy, and state transitions.
- Consistency Alignment: It checks design foundations to ensure the requirements align with specific component libraries, theme colors, and responsive rules.
- Standardized Output: It generates a comprehensive SDD-style document featuring functional tables, detailed flows, and acceptance criteria.
SDD Requirements Normalizer Setup
To integrate this skill into your workflow, ensure you have the required reference templates in your project directory:
# Ensure your project structure includes the following reference files:
# references/sdd-requirements-template.md
# references/interaction-layout-checklist.md
# references/design-foundations.md
# Invoke the normalizer through your AI agent interface
# provided with the Openclaw Skills framework.
SDD Requirements Normalizer Data Schema & Taxonomy
The skill organizes output into a highly structured taxonomy to ensure clarity across the development lifecycle:
| Section | Description |
|---|---|
| Requirement Description | Defines goals, target users, and project scope. |
| Feature List | A tabular breakdown of functions, roles, priorities, and parent records. |
| Detailed Specs | Core user flows, interaction rules, layout structures, and boundary cases. |
| Prototype Requirements | Specific instructions for component libraries, themes, and responsive adaptation. |
| Acceptance Criteria | Measurable standards for project verification. |
| Assumptions/Open Issues | A log of default assumptions and points requiring stakeholder confirmation. |
SDD Requirements Normalizer Advanced Features
- Multi-Source Synthesis: Ability to merge information from screenshots, verbal descriptions, and technical drafts.
- Automated UX Gap Filling: Proactively suggests missing interface elements like loading states and validation logic based on Openclaw Skills best practices.
- Design Foundation Integration: Direct mapping of requirements to specific design systems and component libraries.
- SDD Template Enforcement: Ensures every output follows a strict, machine-readable format suitable for downstream AI-assisted coding.
SKILL.md
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