to-prd
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.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=yikart-aitoearn-project-aitoearn-backend-agents-skills-to-prd-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name 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 — 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 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. Write the PRD using the template below, then publish it to the project issue tracker. Apply the ready-for-agent triage 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 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. 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.
Agent 识别该技能的关键词,点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |