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write-a-prd

Create a PRD through user interview, codebase exploration, and module design, then submit as a GitHub issue. Use when user wants to write a PRD, create a product requirements document, or plan a new feature.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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name write-a-prd description Create a PRD through user interview, codebase exploration, and module design, then submit as a GitHub issue. Use when user wants to write a PRD, create a product requirements document, or plan a new feature. This skill will be invoked when the user wants to create a PRD. You may skip steps if you don't consider them necessary. Output is a Markdown file in ./ai-context/prds/ . Ask the user for a long, detailed description of the problem they want to solve and any potential ideas for solutions. Explore the repo to verify their assertions and understand the current state of the codebase. Interview the user relentlessly about every aspect of this plan until you reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. 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. Once you have a complete understanding of the problem and solution, use the template below to write the PRD. The PRD should be submitted as a GitHub issue. 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 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 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. 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.
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Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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