Drive AI-native development from a living spec.md through seven workflow stages.
npx skills add https://github.com/Kushtrvedi/openclaw-standard --skill specvibe
Please help me install this Agent Skill. Skill: SpecVibe Source: https://github.com/Kushtrvedi/openclaw-standard/tree/main/skills/specvibe Command: npx skills add https://github.com/Kushtrvedi/openclaw-standard --skill specvibe
SpecVibe addresses the fragmentation between design, code, and deployment by making the specification the single source of truth for AI-native projects, ensuring clarity and traceability.
To start, place a living spec.md at the project root and let SpecVibe guide the workflow from specify to deploy.
High-intent search queries and answers about installing and using this skill.
A spec-driven workflow for AI-native development treats a living specification as the single source of truth to drive architecture, testing, and deployment. It ensures clarity and traceability across the entire development lifecycle.
Start by placing a living spec.md at your project root to structure specifications. This file guides the workflow from specification to deployment, driving architecture, automated testing, and deployment pipelines through clear quality gates.
Yes, you can use a spec-driven workflow to balance AI code generation with human oversight. It employs a Delegate, Review, and Own collaboration model to integrate human review across the seven-stage development process.
The best way to integrate security and documentation best practices into an AI development pipeline is using a spec-driven framework with built-in references to DevOps standards. This ensures production readiness across your deployment workflow.
The stages of a spec-driven development workflow are Specify, Plan, Test, Implement, Review, Document, and Deploy. These seven stages enforce clear quality gates from initial specification to final production deployment.
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