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Convert PRDs and ideas into structured specs for more accurate AI coding.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "StoriesOnBoard - structured specifications for AI Agents" MCP server from askskill: Run: claude mcp add --transport http 'com-storiesonboard-storiesonboard' 'https://api.storiesonboard.com/mcp'
Turn this product idea into a structured build spec: a weekly reporting tool for remote teams with AI summaries, task tracking, and Slack reminders. Output feature modules, user stories, acceptance criteria, edge cases, and non-functional requirements.
A clearly structured product spec that AI coding agents can directly understand and implement.
Based on this PRD, generate a structured specification for an AI development agent. Organize it by pages, APIs, data models, state transitions, error handling, and test considerations, and flag ambiguous requirements.
A detailed implementation-oriented spec that also highlights ambiguities and open questions.
Review the following draft product requirements and fill in details AI coding agents often miss, including permission rules, empty states, retry behavior, performance constraints, and failure scenarios. Organize everything into a structured spec.
A completed structured requirements document covering key edge cases and implementation details.
Turn Notion specs into implementation plans, tasks, and progress tracking.
Manage Productboard features, notes, objectives, components, and releases with natural language.
Turn AI chat histories into reusable skills with sync and feedback workflows.
Generate structured PRDs quickly and turn them into Taskmaster-ready development tasks.
Turn coding requests into verifiable plan-act-verify loops with durable repo evidence.
Turn vague problems into structured intent specs for better product and engineering decisions.