to-prd
SkillDev toolsto-prd is a skill that lets your AI turn rough ideas into product requirement documents. Once added, you can describe what you want to build in plain language and get a PRD back. It comes from a collection of skills for engineers.
Available today. Use it from your connected AI after setup.
No other account needed.
Add the skill, then describe your idea in plain language and ask your AI to turn it into a product requirement document.
Then ask your AI: use the to-prd skill
What your AI can do with it
- Turn a rough idea into a product requirement document
- Draft a PRD from a short description of what you want to build
- Shape loose notes about a feature into a written PRD
What this skill tells your AI
The instructions your AI receives, as published by akarachen/angel-engine in .agents/skills/to-prd/SKILL.md and read by ahel’s review.
This skill takes the current conversation context and codebase understanding and produces a PRD. Do NOT interview the user — just synthesize what you already know.
The issue tracker and triage label vocabulary should have been provided to you — run /setup-matt-pocock-skills if not.
Process
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Explore the repo to understand the current state of the codebase, if you haven't already. Use the project's domain glossary vocabulary throughout the PRD, and respect any ADRs in the area you're touching.
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Sketch out the major modules you will need to build or modify to complete the implementation. Actively look for opportunities to extract deep modules that can be tested in isolation.
A deep module (as opposed to a shallow module) is one which encapsulates a lot of functionality in a simple, testable interface which rarely changes.
Check with the user that these modules match their expectations. Check with the user which modules they want tests written for.
- Write the PRD using the template below, then publish it to the project issue tracker. Apply the
ready-for-agenttriage label - no need for additional triage.
Problem Statement
The problem that the user is facing, from the user's perspective.
Solution
The solution to the problem, from the user's perspective.
User Stories
A LONG, numbered list of user stories. Each user story should be in the format of:
- As an , I want a , so that
This list of user stories should be extremely extensive and cover all aspects of the feature.
Implementation Decisions
A list of implementation decisions that were made. This can include:
- The modules that will be built/modified
- The interfaces of those modules that will be modified
- Technical clarifications from the developer
- Architectural decisions
- Schema changes
- API contracts
- Specific interactions
Do NOT include specific file paths or code snippets. They may end up being outdated very quickly.
Exception: if a prototype produced a snippet that encodes a decision more precisely than prose can (state machine, reducer, schema, type shape), inline it within the relevant decision and note briefly that it came from a prototype. Trim to the decision-rich parts — not a working demo, just the important bits.
Testing Decisions
A list of testing decisions that were made. Include:
- A description of what makes a good test (only test external behavior, not implementation details)
- Which modules will be tested
- Prior art for the tests (i.e. similar types of tests in the codebase)
Out of Scope
A description of the things that are out of scope for this PRD.
Further Notes
Any further notes about the feature.
Signals
- GitHub stars
- 19
- Forks
- 2
- Last commit
- Sep 2026
ahel recommends instead
Advanced
- Catalog kind
- skill
- Gateway key
to-prd- Source
- github.com/akarachen/angel-engine