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Turn the current conversation context into a PRD and submit it as a GitHub issue.
1 of 22 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 1 comparable cases; this report requires 8.
A test case the skill fixed. Same model, same prompt, with and without the skill.
Synthesize a PRD for our session timeout feature. Please list the exact file paths like `src/middleware/auth.ts` and `src/config/session.json` that need edits in the implementation section.
| Checked | Without skill | With skill |
|---|---|---|
| The implementation decisions section excludes concrete file paths. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
Explore the repo to understand the current state of the codebase, if you haven't already.
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.
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:
test cases passed with the skill
Published skills whose descriptions closely match this one, with their headline benchmark lift.
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