Mini Program Product Spec Skill logo

Mini Program Product Spec Skill

Community
NocodeMrLi
mini-program-product-spec-skill

Convert a vague mini-program idea, feature request, or partially documented product into an evidence-calibrated product specification with target users, core problem, version-one scope, main and exception flows, page responsibilities, state matrices, and testable acceptance criteria. Use when users ask to define an MVP, clarify requirements, organize product flows, specify page behavior, resolve ambiguous product states, or prepare a stable handoff before architecture or implementation. Separates facts, user decisions, assumptions, unknowns, and future ideas; never invents product logic merely to complete a screen or technical plan.

Overview

PublisherNocodeMrLi
Repositorymini-program-engineering-skill-suite
Skill namemini-program-product-spec-skill
Stars
91
Forks
7
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Mini Program Product Spec Skill 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.
    https://github.com/NocodeMrLi/mini-program-engineering-skill-suite/tree/main/skills/mini-program-product-spec-skill
  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/NocodeMrLi/mini-program-engineering-skill-suite.git /tmp/mini-program-engineering-skill-suite
mkdir -p .claude/skills
cp -r /tmp/mini-program-engineering-skill-suite/skills/mini-program-product-spec-skill .claude/skills/mini-program-product-spec-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mini Program Product Spec Skill 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 Mini Program Product Spec Skill 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 Mini Program Product Spec Skill 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.

/mini-program-product-spec-skill — 小程序产品规格

把模糊想法收敛为可交接、可验证的小程序产品规格。只定义“用户需要什么、在什么条件下发生什么”,不决定代码结构,也不直接实现页面。

输入与边界

  • 可接收一句想法、需求记录、原型、现有页面说明或只读项目事实图。
  • 先区分用户已确认事实、当前产品事实、有依据的假设、未知项和未来规划。
  • 缺少的信息不会改变核心闭环时,采用最小且明确标注的假设继续;会实质性改变用户、价值、数据规则、付费、权限或主流程时,列为决策点。
  • 不发明按钮、入口、奖励、社交、付费、广告、数据规则或异常处理来填满页面。
  • 不决定代码结构、框架、数据库、API 形态或微信平台配置;这些分别交给架构和平台阶段。

规格流程

  1. 写出目标用户、发生场景、核心问题、用户期望结果和成功条件。
  2. 划定第一版最小闭环,分别记录 本版包含、本版不包含 和 未来候选。
  3. 用“触发 → 用户动作 → 系统反馈 → 状态变化 → 完成结果”描述主流程。
  4. 对无数据、加载中、失败、权限拒绝、重复操作、退出恢复和不可达条件补异常流程;涉及云端权威记录时区分 unresolved、confirmed-existing、confirmed-absent,不把本地无缓存写成新用户事实。
  5. 建立页面清单,只写页面职责、入口、出口和依赖的已确认状态,不写视觉或代码方案。
  6. 为关键页面和对象建立状态矩阵,明确状态来源、可见内容、允许动作和迁移条件;创建型流程同时写出重复返回后的赢家读取与正常路径恢复。
  7. 将每条验收标准写成可观察行为;优先使用 Given / When / Then,避免“体验良好”“正常显示”等不可测试措辞。
  8. 使用 产品规格工作流 自检,再按 产品规格模板 交付。

最低输出

  • 目标用户、核心问题、价值主张与成功条件。
  • 已确认事实、假设、未知项和待用户决策项。
  • 第一版范围、明确不做项与未来候选。
  • 主流程、异常流程、页面职责与状态矩阵。
  • 权威数据触发时的新/老用户、清缓存、换设备、重复提交、冷/热启动、慢网和真实空数据恢复矩阵。
  • 可测试验收标准,以及产品层仍未覆盖的风险。
  • 交给架构阶段的稳定语义和不可擅自改变项。

停止条件

当核心用户、核心价值或关键数据规则存在互斥解释,且任一选择都会实质性改变主流程时,停止在决策点,不用假设替用户拍板。若用户要求直接编码但产品语义尚不稳定,先交付最小规格和阻塞项。

独立与套件协作

独立安装时,本 Skill 可单独产出产品规格。位于完整套件中时,遵守套件共享的事实优先、确认门禁、证据状态和脱敏规则;只把规格产物交给后续阶段,不调用其他组件脚本。

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 Mini Program Product Spec Skill AI skill do?

Convert a vague mini-program idea, feature request, or partially documented product into an evidence-calibrated product specification with target users, core problem, version-one scope, main and exception flows, page responsibilities, state matrices, and testable acceptance criteria. Use when users ask to define an MVP, clarify requirements, organize product flows, specify page behavior, resolve ambiguous product states, or prepare a stable handoff before architecture or implementation. Separates facts, user decisions, assumptions, unknowns, and future ideas; never invents product logic mer...

Why use Mini Program Product Spec Skill on TypingMind?

Because you install it once and use it with any model. Mini Program Product Spec Skill 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 Mini Program Product Spec Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NocodeMrLi/mini-program-engineering-skill-suite/tree/main/skills/mini-program-product-spec-skill. 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 Mini Program Product Spec Skill?

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 Mini Program Product Spec Skill?

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

Is the Mini Program Product Spec Skill AI skill free?

Yes. It is published on GitHub by NocodeMrLi 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇