An advanced AI requirement analyzer that extracts and structures technical specifications from multiple document formats into professional documentation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install requirements-analyzer
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 requirements-analyzer 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 Analyzer?
Requirement Analyzer is a sophisticated tool designed for the Openclaw Skills ecosystem that transforms unstructured information into standardized requirement analysis documents. It functions as a virtual Senior Business Analyst, capable of processing diverse input formats such as Excel spreadsheets, UI screenshots, text files, and complex PDF or Word documents.
The skill goes beyond simple text extraction by identifying functional and non-functional requirements, business rules, and technical constraints. It synthesizes this data into a structured Markdown format, complete with priority rankings and dependency mapping, providing developers with a clear roadmap from raw stakeholder input to actionable technical specifications.
Requirement Analyzer Use Cases
- Converting UI design screenshots into structured functional requirement tables and interaction flows.
- Extracting business logic, formulas, and calculation methods from legacy PDF documentation.
- Organizing feature lists from Excel files into prioritized backlogs with pre-conditions and trigger points.
- Identifying technical and business constraints from project pitch documents to define system boundaries.
How Requirement Analyzer Works
- The AI agent identifies the document type (Excel, PNG, TXT, PDF, Word) and selects the corresponding parsing strategy.
- Raw content is extracted using specialized tools like pandas for dataframes or image recognition for interface elements.
- The skill performs a multi-dimensional analysis to isolate functional verbs, performance metrics, security needs, and business logic.
- Requirements are organized into a standardized schema, assigned unique identifiers (FR, NFR, BR), and ranked by priority.
- An ASCII-based dependency graph is generated to visualize how features interact and rely on one another.
- A comprehensive quality check is performed to identify missing information or logical conflicts, which are flagged in a final 'Questions for Confirmation' list.
Requirement Analyzer Setup
To integrate this capability into your AI workflow using Openclaw Skills, ensure your environment has the necessary document processing dependencies installed.
# Install core processing libraries
pip install pandas python-docx
Simply include the SKILL.md in your agent's configuration and trigger it by asking the agent to analyze a specific document or directory.
Requirement Analyzer Data Schema & Taxonomy
The skill generates a structured Markdown report based on the following metadata taxonomy:
| Section | Content Type | Purpose |
|---|---|---|
| Document Overview | System Boundaries | Defines the scope and document source |
| Functional Requirements | ID, Description, Triggers | Detailed feature list with P0-P2 priority |
| Non-Functional | Performance, Security | Metrics for system quality and constraints |
| Business Rules | Logic & Scope | Defines the underlying rules of the application |
| ASCII Map | Visual Dependencies | Shows the relationship between different requirement IDs |
| Glossary | Terminology | Defines technical or business-specific terms |
Requirement Analyzer Advanced Features
- Multi-format hybrid processing for documents containing mixed media (e.g., images embedded in Excel).
- Automated conflict detection for overlapping or contradictory requirements across different sources.
- Context-aware priority assessment (P0/P1/P2) based on business goals and technical constraints.
- Intelligent file persistence that automatically generates formatted filenames like Requirement_Analysis_ProjectName_YYYYMMDD.md.
SKILL.md
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