tech-solution-generator

What This Skill Does

The tech-solution-generator is a specialized OpenClaw agent skill designed to act as a virtual system architect. It automates the arduous task of drafting technical design documents by interpreting project requirements and generating structured, professional output. It covers everything from high-level architecture and technology stack recommendations to granular interface definitions, database schemas, risk assessment matrices, and accurate development scheduling.

Installation

To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/imgolye/tech-solution-generator

Use Cases

This tool is ideal for:

• Rapid Prototyping: Generating feasibility analysis during project inception.
• PRD Conversion: Transforming product requirement documents into executable technical specifications.
• Standardization: Ensuring all team members follow a consistent documentation format for architectural reviews.
• Decision Support: Providing data-driven technology stack recommendations based on specific project constraints like latency, throughput, or scalability needs.

Example Prompts

1. "Design a high-concurrency event-ticketing system that handles 50,000 requests per second. Focus on inventory management and preventing overselling."
2. "Generate a technical solution for a mobile-first SaaS CRM. Use Spring Boot for the backend and React for the frontend, including API documentation for user registration and lead management."
3. "Analyze the technical requirements for a decentralized file storage system. Provide a risk assessment for data integrity and network latency."

Tips & Limitations

• Be Specific: While the agent handles broad requests well, providing specific constraints (e.g., target QPS, cloud provider preferences, or compliance requirements) leads to significantly better architectural results.
• Human-in-the-Loop: Always treat generated output as a baseline draft. While highly accurate, architectural decisions should be reviewed by a senior engineer, especially regarding security and complex integration points.
• Iterative Refinement: If the initial output is too generic, follow up with specific questions like 'Can you refine the database schema for better read-heavy performance?' to improve the quality.