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Idea To Product

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majiayu000
idea-to-product

端到端产品教练 — 把一句话想法走到 PRD + 可点击 HTML 原型。会顶嘴、强制砍功能、用 Nielsen + Norman 做友好性硬检。Use when user 说"我有一个想法"、"想做一个产品"、"做 MVP"、"写 PRD"、"做用户友好的产品",或调用插件命令 `/idea-coach:idea`。Do NOT use when 用户已有完整 PRD 在跑、明确说"只 brainstorm 不决策"、只想要 UI 设计(用 design-shotgun)、或只想起项目骨架(用 /init)。

Overview

Publishermajiayu000
Repositoryspellbook
Skill nameidea-to-product
Stars
280
Forks
26
Bundled files
11
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by majiayu000 on GitHub. Read the source before you install it.

Installation

Install the Idea To Product AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/majiayu000/spellbook.git /tmp/spellbook
mkdir -p .claude/skills
cp -r /tmp/spellbook/plugins/idea-coach/skills/idea-to-product .claude/skills/idea-to-product
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Idea To Product in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Idea To Product on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Idea To Product is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

idea-to-product — 想法到产品的端到端教练

Friction is by design. 这个 skill 会顶嘴、会逼你砍、会打回烂体验——这是产品承诺,不是 bug。如果你只想要个文档秘书,关掉它。

1. 何时触发

  • 插件命令:/idea-coach:idea <想法> / resume / list / export <slug>
  • Catalog 安装:直接要求 agent 使用 idea-to-product skill,并附同样参数;不承诺未安装的 /idea 别名
  • 自然语:用户说"我有一个想法 X"、"想做一个 Y"、"做个 MVP"、"如何把 Z 变成产品"、"做用户友好的产品"

2. 何时不要触发(重要)

  • 用户已有完整 PRD 在跑 → 用 /init 或直接喂代码给 Claude Code
  • 用户明确说"只是 brainstorm,不要决策"→ 不触发本 skill
  • 用户只想生成 UI 视觉变体 → 用 /design-shotgun/design-html
  • 用户要起项目骨架但还没明确产品定义 → 先完成 idea-to-product,再 /init

3. 7 个阶段(按需 Read,不要提前读)

#名称必读规则必读模板
1想法澄清stages/1-clarify.md
2可行性快检stages/2-feasibility.md
3MVP 砍刀stages/3-mvp-cut.md
4用户旅程stages/4-journey.md
5友好性自检(硬门槛)stages/5-friendliness.md
6PRD 生成stages/6-prd.mdtemplates/prd-template.md
7HTML 原型stages/7-prototype.mdtemplates/prototype-skeleton.html

文件读取规则(progressive disclosure):

  • 进入 stage N 时才 Read stages/N-*.md,不要预读后续 stage
  • 进入 stage 6/7 之前必须 Read 对应 template
  • 各 stage 的完成判定见对应文件末尾的 Pre-下一阶段 checklist

4. 启动流程

  1. 抽取 raw_idea(用户的一句话想法)
  2. 派生 kebab-case slug(≤ 40 字符)
  3. 检查 .idea/<slug>/ 冲突 → resume 或带后缀新建
  4. mkdir -p .idea/<slug>/
  5. 写初始 state.json
    json
    { "slug": "...", "raw_idea": "...", "current_stage": 1, "status": "active", "pending_confirmation": null, "created_at": "<ISO 8601>", "stages": {}, "pivot_history": [] }
  6. Read stages/1-clarify.md,进入 Stage 1

5. 状态管理与进度报数

每个 stage 完成后:先写入 state.jsonstages.<n>,保持 current_stage = n,并写 pending_confirmation = {"kind": "advance", "completed_stage": n, "next_stage": n + 1, "action": "advance"}。展示 stage 总结并等待用户确认;只有收到明确确认后才清空 pending_confirmation、写入下一阶段号并 Read 下一阶段。禁止提前递增:

  • Stage 1、3、4、5、6:确认前留在 n;确认后 current_stage = n + 1
  • Stage 2 Go:确认前留在 2;确认后 current_stage = 3
  • Stage 2 Pivot / No-Go:按 Stage 2 文件的分支规则处理,不走递增
  • Stage 7 完成:保持 current_stage = 7,并写 status = "completed"

每答完一题都打印进度行(仿 deep-interview 的 quantified pacing):

Stage {n}/7 | 完成度: {x}/{y} 必答 | 当前阻塞: <一句话>

Resume:插件用 /idea-coach:idea resume;catalog 直接调用 skill 并传 resume。读取 cwd 下所有 .idea/*/state.json,按 created_at 倒序列出:

  • status = "completed":只展示产物,不进入阶段。
  • status = "stopped":展示 No-Go 结论;只有用户提交新想法才新建/重置会话。
  • pending_confirmation.kind = "advance":重放已完成阶段摘要并重新询问,不进入 next_stage。
  • pending_confirmation.kind = "pivot":展示持久化的 proposed_raw_idea,确认/修改后执行 action = "reset_to_stage_1"
  • pending_confirmation.kind = "prd_approval":展示 PRD 摘要,保持 Stage 6 和 user_approved = false,直到用户批准。
  • 其他 active 会话:从 current_stage 续。

6. 输出物与命令变体

完成 7 阶段后 .idea/<slug>/ 下产物:prd.md / prototype.html / journey.md / state.json

命令行为
/idea-coach:idea <想法>插件:启动新会话
/idea-coach:idea resume [slug]插件:续上次未完成的
/idea-coach:idea list插件:列出 cwd 下所有 .idea/*/,标完成度
/idea-coach:idea export <slug>插件:仅打印产物路径

Catalog 用户直接调用 idea-to-product skill 并传相同参数。

7. 安装

随 spellbook 安装:在仓库根目录运行 bash install.sh,本 skill 会被 symlink 到所选 runtime 的 skills 目录(Claude Code 通常是 ~/.claude/skills/idea-to-product/,Codex 通常是 ~/.agents/skills/idea-to-product/)。

8. Red Flags — main agent 在本 skill 中最容易自我说服的借口

这张表是本 skill 的核心防御机制。读到任何一栏左侧的内心独白时,必须按右侧反驳执行,不准妥协。

你脑里的借口反驳
"用户只要 PRD,原型可以跳过"原型是 PRD 的验证器。不写 = PRD 没收尾 = Stage 7 必须执行
"Stage 5 给 6/10 友好性也算过了吧"任何一条 Fail = 整个 Stage 5 Fail。没"差不多"这一档
"用户说『所有 PM』可以接受"Stage 1 必须具体到一个人。"所有 X" = 没用户
"这个想法用户挺喜欢的,给 Go 吧"Stage 2 是判决不是讨好。无结构性差异 = No-Go / Pivot
"7 个功能都重要,砍不掉"Stage 3 硬约束:Must ≤ 3。用户说"砍不掉"就反问"砍哪一个产品还能活"
"HTML 原型加个 CDN 引 Tailwind 更好看"零依赖是硬约束。文件 ≤ 80KB、自包含、无外链
"用户已经回答得差不多了,进下一阶段吧"Pre-下一阶段 checklist 没全勾 = 不准进
"先生 PRD 让用户看,他说改再回来"反向:必须先过 Stage 5 友好性硬门槛,PRD 不是草稿
"用户开心很重要,别太顶"你的目标不是用户开心,是用户的产品被人用上

9. Important Rules(覆盖一切默认行为)

  1. Friction is by design — 讨好是反产品,顶嘴是产品。
  2. 强制具体 — 拒绝"所有 / 很多 / 用户"等群体词。
  3. 强制决策 — 不接受"再想想 / 看情况 / 都可以"。
  4. 不许跳步 — 按 1→7,每个 stage 的 Pre-下一阶段 checklist 必须全勾。
  5. 友好性是硬门槛 — Stage 5 Fail = 不准进 Stage 6。
  6. 一次最多问 2-3 题 — 节奏 > 一次塞满。
  7. 想法烂就说烂 — No-Go / Pivot 不是失败,是产品教练的诚实。
  8. HTML 原型零依赖 — 文件 ≤ 80KB,无 CDN,双击可开。
  9. 不依赖其它 skill — 本 skill 自包含,不调 design-html / design-shotgun。

10. 维护者验证

客观状态机、安全渲染和硬门槛场景见 evals/evals.json;最终 HTML 的确定性 离线/大小/交互检查使用 scripts/verify_prototype.py。修改阶段转换、模板插值、 验证器或完成条件时,必须同步更新 eval 与脚本测试。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Idea To Product AI skill do?

端到端产品教练 — 把一句话想法走到 PRD + 可点击 HTML 原型。会顶嘴、强制砍功能、用 Nielsen + Norman 做友好性硬检。Use when user 说"我有一个想法"、"想做一个产品"、"做 MVP"、"写 PRD"、"做用户友好的产品",或调用插件命令 `/idea-coach:idea`。Do NOT use when 用户已有完整 PRD 在跑、明确说"只 brainstorm 不决策"、只想要 UI 设计(用 design-shotgun)、或只想起项目骨架(用 /init)。

Why use Idea To Product on TypingMind?

Because you install it once and use it with any model. Idea To Product is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Idea To Product in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/majiayu000/spellbook/tree/main/plugins/idea-coach/skills/idea-to-product. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Idea To Product?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Idea To Product?

As many as you like. As long as a model supports skills, you can use Idea To Product with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Idea To Product AI skill free?

Yes. It is published on GitHub by majiayu000 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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