Validate Idea

Community

konglong87

validate-idea

Idea validation workflow — chain demand validation, market research, prioritization, and MVP scoping Use when: Validating a new product idea, testing assumptions, or exploring viability

Overview

Publisher	konglong87
Repository	`superPM`
Skill name	`validate-idea`
Stars	86
Forks	8
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by konglong87 on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/konglong87/superPM/tree/main/skills/workflows/validate-idea
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.

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/konglong87/superPM.git /tmp/superPM
mkdir -p .claude/skills
cp -r /tmp/superPM/skills/workflows/validate-idea .claude/skills/validate-idea

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Validate Idea 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 Validate Idea 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 Validate Idea 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.

安装依赖预检（执行工作流之前）

本工作流入口 validate-idea 只负责编排；单独安装它不会自动安装所调用的技能。必需技能：pm-demand、pm-market、pm-priority、pm-mvp。新产品额外需要 pm-brainstorm；仅在已有相关头脑风暴产物或用户明确跳过时可不调用它。

先用当前平台的技能列表检查必需技能是否可用。若缺少依赖，停止工作流，不要假装已执行；告知用户缺少的技能并给出安装方式。不要擅自安装或跳过。完整安装命令（只装本入口并不够）：

bash
npx skills add https://github.com/konglong87/superPM --skill validate-idea pm-demand pm-market pm-priority pm-mvp pm-brainstorm

没有 Node.js/npm 时，可按仓库 README 手动安装完整技能包；安装后重新检查技能列表，再继续流程。

Workflow contract

When the full pack is installed, also consult skills/_shared/workflow-contract.md; standalone installation follows the complete steps below. For a new idea, first run /pm-brainstorm unless a relevant artifact exists or the user explicitly opted out. Then follow the four steps below. A skipped or existing artifact is not reported as newly generated. Pause between steps for confirmation; in environments without AskUserQuestion, ask in chat and wait.

Execution flow

Demand validation — 执行 /pm-demand。确认真实用户痛点与证据，完成后征求继续/跳过/停止的选择。
Market research — 执行 /pm-market。检查市场与竞争证据，完成后征求继续/跳过/停止的选择。
Prioritization — 执行 /pm-priority。明确需求取舍及依据，完成后征求继续/跳过/停止的选择。
MVP scoping — 执行 /pm-mvp。以优先级结果定义最小范围，并标注未验证假设。

完成时只列实际创建或复用的文档，并建议下一步 /write-prd。

Frequently asked questions

What does the Validate Idea AI skill do?

Idea validation workflow — chain demand validation, market research, prioritization, and MVP scoping Use when: Validating a new product idea, testing assumptions, or exploring viability

Why use Validate Idea on TypingMind?

Because you install it once and use it with any model. Validate Idea 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 Validate Idea in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/konglong87/superPM/tree/main/skills/workflows/validate-idea. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Validate Idea?

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 Validate Idea?

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

Is the Validate Idea AI skill free?

Yes. It is published on GitHub by konglong87 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

安装依赖预检（执行工作流之前）

Workflow contract

Execution flow

Frequently asked questions

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