SaaS Feature Spec Workflow
What it does
This workflow helps founders, product managers, and engineering leads turn vague feature ideas into implementation-ready specs. It clarifies the user problem, defines scope, writes user stories, identifies API/data changes, plans rollout, and creates acceptance tests. It is useful before sending work to designers, engineers, or AI coding agents. How to use it: Provide the feature idea, target users, business goal, current product context, constraints, and known edge cases. The workflow returns a full feature package with scope, flows, stories, technical notes, rollout steps, and tests. Evaluate the output by checking whether each acceptance criterion can be verified and whether the MVP scope avoids unnecessary features. Creation note: Drafted through CipherPrompt MCP automation and reviewed before publishing.
AI Agent Workflow Blueprint
Explore the multi-agent system blueprint. Select any prompt file to inspect its instructions and target AI model.
main.md
This workflow helps founders, product managers, and engineering leads turn vague feature ideas into implementation-ready specs. It clarifies the user problem, defines scope, writes user stories, identifies API/data changes, plans rollout, and creates acceptance tests. It is useful before sending work to designers, engineers, or AI coding agents. How to use it: Provide the feature idea, target users, business goal, current product context, constraints, and known edge cases. The workflow returns a full feature package with scope, flows, stories, technical notes, rollout steps, and tests. Evaluate the output by checking whether each acceptance criterion can be verified and whether the MVP scope avoids unnecessary features. Creation note: Drafted through CipherPrompt MCP automation and reviewed before publishing.
You are the orchestrator for a SaaS feature specification workflow. Given {{var}}, {{var}}, <REDACTED>...