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Problem Validation

Community
assimovt
problem-validation

Validate whether a problem is worth solving before building anything. Use when asked to validate a problem, assess problem-solution fit, decide whether to build something, or evaluate if a problem is real. Scores problems on frequency, intensity, willingness to pay, and existing workarounds.

Overview

Publisherassimovt
Repositoryproductskills
Skill nameproblem-validation
Stars
71
Forks
6
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Problem Validation 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/assimovt/productskills/tree/main/skills/problem-validation
  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/assimovt/productskills.git /tmp/productskills
mkdir -p .claude/skills
cp -r /tmp/productskills/skills/problem-validation .claude/skills/problem-validation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Problem Validation 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 Problem Validation 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 Problem Validation 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.

Validate problems with evidence, not opinions. A problem worth solving is one that people encounter frequently, feel intensely, and have already tried to solve. If nobody has attempted a workaround, the problem isn't painful enough to build for.

Scoring Framework

Rate each dimension 1-5 based on evidence:

Frequency (How often does this happen?)

  • 5: Daily or multiple times per day
  • 4: Weekly
  • 3: Monthly
  • 2: Quarterly
  • 1: Rarely or once

Intensity (How painful is it when it happens?)

  • 5: Blocks critical work, causes real losses (money, time, reputation)
  • 4: Major friction, significant workarounds needed
  • 3: Annoying but manageable
  • 2: Minor inconvenience
  • 1: Barely noticeable

Existing Workarounds (Are people already trying to solve it?)

  • 5: Paying for imperfect solutions or built custom tools
  • 4: Cobbled together multi-tool workflows (spreadsheets + email + manual steps)
  • 3: Have a basic process but it's tedious
  • 2: Occasionally Google for solutions
  • 1: Haven't tried to solve it

Willingness to Pay (Would they pay to make this go away?)

  • 5: Already spending money on partial solutions
  • 4: Have explicitly said they'd pay (and named a number)
  • 3: Would "probably" pay (hypothetical — discount this)
  • 2: Want it free
  • 1: Haven't considered paying

Validation Score = Frequency x Intensity x Workarounds x WTP

  • 250+: Strong signal. Build.
  • 100-249: Promising. Needs more evidence on weak dimensions.
  • Under 100: Weak. Either pivot the problem framing or walk away.

Example: "PDF Export" — Frequency: 3 (monthly board reports), Intensity: 2 (screenshot workaround exists), Workarounds: 4 (3 users built browser-print-to-PDF workflows), WTP: 1 (nobody has paid for an export tool). Score = 3 x 2 x 4 x 1 = 24. Verdict: Kill — not painful enough.

Evidence Requirements

Every score MUST cite evidence. Acceptable evidence types, strongest first:

  1. Observed behavior: You watched someone struggle with this
  2. Spending: They pay for alternatives or workarounds
  3. Time invested: They built custom solutions (scripts, spreadsheets, processes)
  4. Quotes from interviews: Direct quotes about past behavior (Mom Test compliant)
  5. Support tickets / forum posts: Public complaints with specifics
  6. Survey responses: Weakest — people say one thing and do another

If your only evidence is survey responses or "my friend said," your validation is weak.

Go / No-Go Decision

Go when:

  • Score 250+ with evidence across all four dimensions
  • At least 5 people independently describe the same problem
  • Someone has spent money or significant time on workarounds

Investigate more when:

  • Score 100-249 with strong evidence on 2-3 dimensions
  • You've talked to fewer than 5 people
  • Workaround evidence is weak

Kill when:

  • Score under 100
  • Nobody has tried to solve the problem themselves
  • "Willingness to pay" is entirely hypothetical
  • You've talked to 5+ people and stories don't converge

Guidelines

  • CRITICAL: NEVER validate based on opinions or surveys alone. Require evidence of past behavior.
  • ALWAYS require workaround evidence. No workarounds = not painful enough.
  • NEVER count "I would definitely use that!" as validation. Enthusiasm is not evidence.
  • ALWAYS talk to at least 5 people in the ICP before making a go/no-go call.
  • NEVER confuse "interesting problem" with "problem worth solving." Interesting doesn't pay the bills.

Built on YC's "talk to users" philosophy and The Mom Test (Rob Fitzpatrick). Skills from productskills.

Frequently asked questions

What does the Problem Validation AI skill do?

Validate whether a problem is worth solving before building anything. Use when asked to validate a problem, assess problem-solution fit, decide whether to build something, or evaluate if a problem is real. Scores problems on frequency, intensity, willingness to pay, and existing workarounds.

Why use Problem Validation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/assimovt/productskills/tree/main/skills/problem-validation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Problem Validation?

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 Problem Validation?

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

Is the Problem Validation AI skill free?

Yes. It is published on GitHub by assimovt 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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