to-prd
将当前 conversation context 或 BMad PRD 输出转成 `docs/features/<feature>/PRD.md`,并接入 AI-native 文档链。Use when user wants to create a PRD, write product requirements…
Skill by pop1414
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/pop1414-to-prd
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, writing
Reviews
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/to-prd
What's inside
- Skill name
to-prd- Description
- 将当前 conversation context 或 BMad PRD 输出转成 `docs/features/<feature>/PRD.md`,并接入 AI-native 文档链。Use when user wants to create a PRD, write product requirements, capture feature scope, promote BMad PRD findings into the formal AI-native document system, or prepare input for `to-spec`.
- License
- MIT
- Instructions
- 63 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
这个 skill 使用当前 conversation context 和 codebase understanding 产出 PRD。默认写入 `docs/features/<feature>/PRD.md`。**不要**访谈用户,只综合你已经知道的内容;只有核心用户问题或功能边界无法判断时,才问一个阻塞性问题。 Repo 的 document workflow、issue tracker 和 triage label vocabulary 应该已经提供给你;如果没有,运行 `/setup-ai-document-system`。 ## Process 1. 如果还没有探索 repo,先读取 repo 中实际存在的 agent adapter(例如 `AGENTS.md`、`CLAUDE.md`、`.cursor/rules/` 或 `.github/copilot-instructions.md`)、`docs/agents/document-system.md`、`docs/agents/domain.md`,再探索 codebase 当前状态。在 PRD 中始终使用项目 domain glossary vocabulary,并遵守相关 ADRs。 如果输入来自 BMad PRD、product brief、readiness report 或 `_bmad-output/`,同时读取 `docs/BMAD_INTEGRATION.md` 和 `docs/LEVEL3_BMAD_WORKFLOW.md`。BMad 输出是 source material,不是正式真相源;只有写入 `docs/features/<feature>/PRD.md` 后才成为产品约束。 2. 确定 feature slug。若用户没有指定,从功能名称生成简短 kebab-case slug,并使用 `docs/features/<feature-slug>/PRD.md` 作为目标路径。 3. 只记录产品层信息:用户问题、解决方案、用户故事、功能范围、非目标、业务验收标准和补充说明。不要在 PRD 中写 API contract、数据库表结构、类名、文件路径或具体实现方案;这些属于 `to-spec` 或 ADR。 4. 如果对话中已经出现实现约束或测试想法,把它们放到 `Further Notes`,并明确标记为 “input for Spec”。不要把它们写成最终技术契约。 5. 如果 BMad 材料和既有 `PRD.md` 冲突,明确列出冲突并采用用户确认后的正式结论;不要让 BMad 输出和 `docs/` 平级竞争。 6. 创建或更新 `docs/features/<feature-slug>/PRD.md`。完成后判断是否需要 `to-plan`:如果功能跨阶段、跨功能或交付顺序复杂,建议先运行 `/to-plan`;否则建议直接运行 `/to-spec`。 <prd-template> # PRD: <Feature Name> ## Problem Statement 用户正在面对的问题,从用户视角描述。 ## Solution 问题的解决方案,从用户视角描述。 ## User Stories 一份很长的编号 user stories 列表。每条 user story 使用以下格式: 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> 这份 user stories 列表应该非常完整,覆盖 feature 的所有方面。 ## Functional Scope 本 PRD 范围内的能力,使用 checklist。 ## Out of Scope 本 PRD 明确不做的内容。 ## Acceptance Criteria 业务层验收标准,不写具体测试命令。 ## Further Notes 关于 feature 的其他 notes。实现约束、测试想法或 prototype 结论可以放在这里,并标记为 input for Spec。 </prd-template>
From pop1414/ai-native-doc-system, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 3, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/pop1414/ai-native-doc-system
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
to-prd skill. Agent Mart. https://agentmart.dev/skills/pop1414-to-prd (last updated 2026-10-24)