Convert conversation and repository context into a publishable product requirements document.
npx skills add https://github.com/mmartinsoliv/dotfiles --skill to-prd-mmartinsoliv
Please help me install this Agent Skill. Skill: to-prd Source: https://github.com/mmartinsoliv/dotfiles/tree/main/agents/skills/to-prd Command: npx skills add https://github.com/mmartinsoliv/dotfiles --skill to-prd-mmartinsoliv
This Skill turns an existing conversation and repo context into a clear, publishable product requirements document, removing the need to manually assemble scattered notes into a structured plan.
Ask the assistant to turn the current conversation into a PRD and publish it to the project issue tracker.
High-intent search queries and answers about installing and using this skill.
To convert a conversation into a product requirements document, this Skill synthesizes your current context to generate problem statements, user stories, and implementation decisions, then publishes them directly to your issue tracker.
Generating user stories from repo context requires strict adherence to a template without interviewing the user, applying PRD synthesis to your existing discussion to automatically extract and structure ready-for-agent labeled requirements.
Publishing synthesized PRD planning decisions to an issue tracker is handled automatically by transforming the generated product requirements, scope, and testing decisions into an actionable artifact ready for engineering teams.
You do not need to manually assemble scattered notes into a structured plan for product planning, because this Skill removes that requirement by organizing existing exploratory conversation context into a full PRD.
You can use this to draft requirements when you have enough context, as it leverages AI to organize, refine, and publish your product planning decisions without re-interviewing you or requiring additional input.
A limitation when synthesizing a PRD from current conversation context is that the Skill requires sufficient existing discussion and repository context to work, as it operates strictly without interviewing the user to gather missing information.
sandriaasGenerates structured PRDs for AI agents via iterative clarifying questions and quality gates.
vm0-aiConvert conversation context into structured GitHub issues with labels.
JeromyJSmithGenerate a product requirements document from conversation context and publish it to the issue tracker with ready-for-agent label.
Prorise-coolGuide product managers through structured PRD creation using a 10-section template.
