Menu
Turn the current conversation context into a PRD and publish it to the project issue tracker. Use when user wants to create a PRD from the current context.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | eng-to-prd |
| description | Turn the current conversation context into a PRD and publish it to the project issue tracker. Use when user wants to create a PRD from the current context. |
This skill takes the current conversation context and codebase understanding and produces a PRD. Do NOT interview the user โ just synthesize what you already know.
The issue tracker and triage label vocabulary should have been provided to you โ run /eng-setup if not.
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.
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.
ready-for-agent triage label - no need for additional triage.The problem that the user is facing, from the user's perspective.
The solution to the problem, from the user's perspective.
A LONG, numbered list of user stories. Each user story should be in the format of:
This list of user stories should be extremely extensive and cover all aspects of the feature.
A list of implementation decisions that were made. This can include:
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 They may end up being outdated very quickly.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 โ not a working demo, just the important bits.
A list of testing decisions that were made. Include:
A description of the things that are out of scope for this PRD.
Any further notes about the feature.
Long-running iterative development loops with pacing control and verifiable progress. Use when tasks require multiple iterations, many discrete steps, or periodic reflection with clear checkpoints; avoid for simple one-shot tasks or quick fixes.
Use ask_user as a decision, research, and requirements gate before ambiguous or high-stakes choices.
Versitile project planning skill for tracking ideas, defining detail and tracking progress on delivery. Use when you need to create, manage, or understand project planning artifacts like Epics, Stories, Tasks, Research, and Decisions. Follow the defined workflow phases and artifact relationships to ensure consistent and effective project planning. Results in well-structured project plans, clear traceability, and informed decision-making throughout the project lifecycle.
Use when understanding an unfamiliar code library, reusing cached local repo docs, or generating repo-native AGENTS.md and llms.txt navigation for cloned libraries.
Search local markdown knowledge bases, notes, docs, and wikis with QMD. Use when users ask to find notes, retrieve documents, inspect a wiki, answer from indexed markdown, or set up QMD access.
Working with Pi-Coding-Agent and modifying it via extensions. Use when you need to modify Pi-Coding-Agent's behavior or add new features to it. This skill routes you to the correct subskill.