Discover

Community

konglong87

discover

Product discovery workflow — chain market analysis, competitor research, demand validation, and prioritization Use when: Exploring a new product idea, entering a new market, or validating an opportunity

Overview

Publisher	konglong87
Repository	`superPM`
Skill name	`discover`
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 Discover 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/discover
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/discover .claude/skills/discover

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

Use it in TypingMind

Enable Discover 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 Discover 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 Discover 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 discover 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-market、pm-competitor、pm-demand、pm-priority。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 discover pm-market pm-competitor pm-demand pm-priority 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 product idea, run /pm-brainstorm before this chain unless a relevant artifact exists or the user explicitly opted out. This optional pre-step satisfies /pm-demand's gate later in the chain. Existing-product discovery need not brainstorm. Reuse relevant artifacts after confirmation; report only outputs actually created.

Overview

This command chains 4 skills into a complete product discovery workflow:

pm-market — Market landscape & sizing
pm-competitor — Competitive analysis
pm-demand — Demand validation & pain point analysis
pm-priority — Prioritization & opportunity ranking

Each step pauses for user confirmation before proceeding.

Execution Flow

Step 1: Market Analysis

Run the market analysis skill to understand the market landscape.

📊 Starting Step 1/4: Market Analysis This will analyze the market size, trends, and landscape for your product idea.

执行 /pm-market

完成后，使用 AskUserQuestion 确认：

✅ Step 1 complete. Proceed to Step 2: Competitive Analysis? A) Yes, continue B) Skip competitive analysis C) Stop

Step 2: Competitive Analysis

📊 Starting Step 2/4: Competitive Analysis This will analyze competitors, their positioning, and gaps in the market.

执行 /pm-competitor

完成后，使用 AskUserQuestion 确认：

✅ Step 2 complete. Proceed to Step 3: Demand Validation? A) Yes, continue B) Skip demand validation C) Stop

Step 3: Demand Validation

📊 Starting Step 3/4: Demand Validation This will validate user pain points, needs, and willingness to pay.

执行 /pm-demand

完成后，使用 AskUserQuestion 确认：

✅ Step 3 complete. Proceed to Step 4: Prioritization? A) Yes, continue B) Skip prioritization C) Stop

Step 4: Prioritization

📊 Starting Step 4/4: Prioritization This will rank opportunities and prioritize features.

执行 /pm-priority

Completion

✅ Product discovery complete!

Generated documents:

docs/01-需求调研/市场调研报告.md

docs/01-需求调研/竞品监控月报.md

docs/01-需求调研/需求调研报告.md

docs/01-需求调研/优先级排序报告.md

Recommended next steps:

/write-prd — Write PRD based on discovery findings

/validate-idea — Validate the idea with a different approach

/define-strategy — Define product strategy

Frequently asked questions

What does the Discover AI skill do?

Why use Discover on TypingMind?

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

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

Which AI models can use Discover?

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 Discover?

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

Is the Discover 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

Overview

Execution Flow

Step 1: Market Analysis

Step 2: Competitive Analysis

Step 3: Demand Validation

Step 4: Prioritization

Completion

Frequently asked questions

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