Generate a PRD from a structured interview with project-specific sections.
npx skills add https://github.com/AgentiveStack/skills --skill spec-agentivestack
Please help me install this Agent Skill. Skill: spec Source: https://github.com/AgentiveStack/skills/tree/main/spec Command: npx skills add https://github.com/AgentiveStack/skills --skill spec-agentivestack
The spec unit helps teams quickly gather and align on a feature's scope by conducting a focused interview that grounds the PRD in the project’s domain model, bounded contexts, and ubiquitous language.
Initiate a feature spec session with the AI to generate a complete PRD.
High-intent search queries and answers about installing and using this skill.
To generate a PRD grounded in a domain model, use an AI-guided interview process that captures problem statements and constraints, producing a structured feature spec with sections for user stories, testing strategy, and scope.
The best way to write a feature spec for cross-functional teams is to use a guided interview workflow that surfaces problem statements, success criteria, and constraints, syncing with domain docs to ensure alignment across bounded contexts.
Create a structured PRD by initiating a feature spec session that conducts an interview and outputs a formal document with dedicated sections for problem, solution, user stories, decisions, tests, and scope.
You need to produce a feature spec using ubiquitous language when starting a new feature, enhancement, or significant system change across bounded contexts, ensuring the documentation aligns with the project's domain model.
Yes, the generated feature spec saves to a specific directory structure at docs/contexts/<primary-context>/specs/<slug>.md, organizing documentation by bounded context for easy retrieval and domain alignment.
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AIGNE-ioTranslate Doc-Smith documentation into multiple languages with glossary consistency.
