to-spec

Solid

Turn the current conversation context into a spec. Use when user wants to create a spec (or PRD) from the current context.

Testing & QA 2 stars 1 forks Updated 4 days ago MIT

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Quality Score: 78/100

Stars 20%
16
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

This skill takes the current conversation context and codebase understanding and produces a spec (you may know this document as a PRD). Do NOT interview the user, just synthesize what you already know. ## Process 1. 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 spec, and respect any ADRs in the area you're touching. 2. Sketch out the seams at which you're going to test the feature. Existing seams should be preferred to new ones. Use the highest seam possible. If new seams are needed, propose them at the highest point you can. The fewer seams across the codebase, the better - the ideal number is one. Check with the user that these seams match their expectations. 3. Write the spec using the template below, then save it per the `aiwork-protocol` skill. <spec-template> ## 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: 1. As an <actor>, I want a <feature>, so that <benefit> <user-story-example> 1. As a mobile bank customer, I want to see balance on my accounts, so that I can make better informed decisions about my spending </user-story-example> This list of user stories should be extremely extensive and cover all aspects of the feature. ## Implementation Decisi...

Details

Author
lttr
Repository
lttr/claude-marketplace
Created
8 months ago
Last Updated
4 days ago
Language
JavaScript
License
MIT

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