PRD for Gemini CLI
Turn your idea into a Gemini CLI-ready spec
Generate a build-ready spec for Gemini CLI: prioritized features, typed data model, and a non-goals list so your terminal AI agent builds the right thing.
Why pair Draftlytic with Gemini CLI?
Gemini CLI is an open-source AI agent you run in your terminal — point it at a task and it can read files, write code, and execute commands across your project. Like any agent, it's only as scoped as the brief you give it: a vague prompt leaves the data model, priorities, and boundaries for the agent to guess.
Draftlytic turns a one-line idea into a structured, editable spec built for that workflow: a prioritized feature list, a typed data model, a navigation map, and an explicit non-goals list. Export it as Markdown and drop it into your terminal session, or push it straight to the GitHub repo Gemini CLI is already working in.
How a Draftlytic PRD fits Gemini CLI
- Export the spec as Markdown and reference it directly in your Gemini CLI session as the task brief.
- Push the PRD to a connected GitHub repo so the agent reads a scoped spec straight from source control.
- A typed data model gives the agent concrete entities and fields to scaffold, instead of inventing its own schema.
- The navigation map with API endpoints tells the agent which routes exist before it writes new ones.
- Explicit Non-Goals stop a terminal agent from adding features you never asked for over a long autonomous run.
- Per-feature acceptance criteria at Detailed depth give the agent a concrete, testable definition of done.
Related tools
PRD for Cline
Give Cline a build-ready spec in your editor: prioritized features, typed data model, and a non-goals list — so it edits code against a scoped brief.
PRD for Aider
Generate a build-ready spec for Aider: prioritized features, typed data model, and a non-goals list — so your terminal AI pair programmer builds the right thing.
PRD for Devin
Give Devin a build-ready spec before it runs: prioritized features, typed data model, and a non-goals list — so an autonomous session builds the right thing.
FAQ
How do I use a Draftlytic spec with Gemini CLI?
Export the PRD as Markdown and reference it in your terminal session, or push it to a connected GitHub repo on paid tiers so the agent reads it straight from your codebase.
Why not just prompt the agent directly?
A vague prompt leaves scope, data model, and priorities undefined, so the agent fills them in itself. A structured spec with acceptance criteria and non-goals gives it concrete constraints up front instead of after the fact.
Does this work for non-web projects too?
Yes. Draftlytic's structured output — features, tech stack, data model, external services — covers CLI tools, APIs, and other non-UI projects, not just web or mobile apps.