Agent skill

Idea Validator

by aakashg in aakashg/pm-claude-skills

A skill your agent uses when the user asks to validate a product idea, stress-test an idea, evaluate whether an idea is good, or decide whether to build something.

MITAuto-check passedProduct & Project Management

Install Idea Validator

skills CLI
$ npx skills add aakashg/pm-claude-skills --skill idea-validator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aakashg/pm-claude-skills idea-validator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aakashg/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/idea-validator .claude/skills/idea-validator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
idea-validator
GitHub stars
112
Token cost
~2.3k tokens
SKILL.md length
1,123 words
Files
2 (incl. references)
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user asks to validate a product idea, stress-test an idea, evaluate whether an idea is good, or decide whether to build something.

  • Works in 4 steps: Read first → Understand the idea → Competitive scan → …
  • The user asks to validate a product idea
  • SKILL.md covers Step 0 — Read first, Constraints, Existence check and Step 1 — Understand the idea, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Idea Validator is an agent skill from aakashg/pm-claude-skills. Use when the user asks to validate a product idea, stress-test an idea, evaluate whether an idea is good, or decide whether to build something. Do NOT use for prioritizing an existing backlog or reviewing a shipped feature — those need RICE scoring or a design review instead.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/scoring-rubric.md`).

It sits in Product & Project Management, covering Load testing, Design review and critique and Prioritization frameworks. The repository describes itself as: 5 Claude Code skills for product managers. Drop them in your .claude/skills/ folder and go. The licence is MIT.

When your agent uses it

  • The user asks to validate a product idea
  • Stress-test an idea
  • Evaluate whether an idea is good
  • Decide whether to build something

Example prompts

  • “/idea-validator”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Read first
  2. Understand the idea
  3. Competitive scan
  4. Score the five dimensions

What it can do on your machine

Read from SKILL.md and the folder at commit 64deebf. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Idea Validator loads about 2.3k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 1,123 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aakashg/pm-claude-skills at commit 64deebf, republished under its MIT licence (© aakashg). 1,123 words, ~2,287 tokens.

Download SKILL.mdSave it as .claude/skills/idea-validator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
idea-validator
description
Use when the user asks to validate a product idea, stress-test an idea, evaluate whether an idea is good, or decide whether to build something. Do NOT use for prioritizing an existing backlog or reviewing a shipped feature — those need RICE scoring or a design review instead.

Idea Validator

Stress-test a product idea across 5 dimensions and return a GO / ITERATE / STOP verdict with evidence.

Step 0 — Read first

SourcePathWhat to extract
Project contextCLAUDE.mdCompany, market, target users, current focus
Scoring rubricreferences/scoring-rubric.mdStrong/Moderate/Weak bar for each dimension
User's materialsany doc, deck, or notes they nameActual customer quotes, usage data, pricing research
Existing researchdocs/, research/ if presentPrior validation on the same problem

If the user names no materials, say so explicitly in the verdict. An idea validated only against your training data is a hypothesis, not a validation, and you must label it that way.

Constraints

Mandatory. These override the user's enthusiasm.

  • Every rating requires 3–5 sentences of specific reasoning. A rating with no evidence is invalid.
  • Never rate STRONG without a named comparable, a number, or a cited user behavior.
  • Never default to GO because the user is excited. Honesty is the deliverable.
  • Never treat "no competitors" as opportunity. It usually means no market. Say so.
  • Never recommend "build the MVP" as the first next step.
  • Flag every guess with ASSUMPTION: and name the data that would confirm or deny it.
  • Flag every missing input with [NEED: X].
  • Never give all five STRONGs unless the evidence is genuinely exceptional. Most ideas are a mix.
  • Name what is hard and why. "This could be challenging" is not a risk.

Existence check

Before scoring anything, verify three things:

  1. Problem — a specific pain, stated in the user's own words, with a frequency.
  2. User — a named segment: job title, company size, situation. "Everyone" and "businesses" fail this check.
  3. Evidence — one real signal: a customer quote, a support ticket volume, a competitor's pricing page, a workaround they observed.

If two of three are missing, refuse to score. Say which are missing and ask for exactly those. Scoring an idea with no user and no evidence produces a confident number built on nothing, which is worse than no analysis.

Step 1 — Understand the idea

Ask:

  1. What is the idea in one sentence?
  2. Who specifically has this problem? Job title, company size, situation.
  3. How are they solving it today?
  4. Why are you the right person or team to build this?

If the answer to #2 is vague, push back before proceeding. Every viable idea has a specific first customer.

Step 2 — Competitive scan

Run this before scoring Market Evidence. It grounds the rating in reality.

  • Direct competitors — name 2–3 with pricing, estimated size, and years in market.
  • Adjacent solutions — what are people cobbling together today? Spreadsheets + Slack + manual process is a strong signal.
  • Platform risk — which incumbent could ship this as a feature in one sprint?
  • Graveyard — has this been tried and failed? A failed predecessor is not disqualifying, but the user must explain what changed.

Output as a table:

| Competitor/Alternative | Type | Pricing | Est. Size | Key Weakness |
|------------------------|------|---------|-----------|--------------|
| [Name] | Direct | $X/mo | [size] | [gap] |
| [Name] | Adjacent | Free | [size] | [limitation] |
| DIY (spreadsheet) | Workaround | Free | Common | [pain point] |

If you lack real data here, write [NEED: competitive research on X] and cap Market Evidence at Moderate.

Step 3 — Score the five dimensions

Rate each Strong / Moderate / Weak. The full bar for each rating is in references/scoring-rubric.md — read it, do not score from intuition.

  1. Problem Severity — frequency, cost of status quo, evidence of workarounds
  2. Market Evidence — who is already paying, what, and is the market growing
  3. Solution Differentiation — the wedge, and whether it is defensible
  4. Feasibility — MVP in 4–6 weeks with a small team, and what the hard thing is
  5. Business Viability — monetization, willingness to pay, path to $1M ARR

Output template

Exact fields, exact order.

## Verdict: [GO / ITERATE / STOP]

[Two sentences. The decision and the single reason for it.]

## Scorecard

| Dimension                | Rating   | One-line reason |
|--------------------------|----------|-----------------|
| Problem Severity         | [rating] | [reason]        |
| Market Evidence          | [rating] | [reason]        |
| Solution Differentiation | [rating] | [reason]        |
| Feasibility              | [rating] | [reason]        |
| Business Viability       | [rating] | [reason]        |

## Competitive landscape
[table from Step 2]

## Reasoning
[3-5 sentences per dimension. Comparables, numbers, named assumptions.]

## Killer questions
[3 questions the founder must answer before building. Target the weakest dimensions.]

## Next 3 experiments
- **Experiment:** [what to do]
  **Cost:** [time and money]
  **Signal:** [what result raises or lowers confidence]
[x3, ordered by speed and cost]

## Assumptions and gaps
[Every ASSUMPTION: and [NEED: X] from above, listed together.]

Verdict thresholds: GO = strong across 4+ dimensions. ITERATE = promising, 1–2 dimensions need work, name the specific pivot. STOP = fundamental issues pivoting will not fix.

Show full SKILL.md (516 more words)Show less

Example

Idea: AI meeting note-taker for sales teams.

Problem Severity: STRONG

Sales reps spend 30–45 minutes after every call writing CRM notes. At 5–8 calls per day that is 3+ hours of admin. Reps universally hate it — it is the #1 complaint in every sales team survey I have seen. The current workaround is telling: reps either skip notes entirely, which hurts the team, or write minimal notes, which loses deal context. Daily frequency, high cost, active workarounds.

Market Evidence: STRONG

Gong ($7B+ valuation), Chorus (acquired by ZoomInfo for $575M), and Fireflies.ai all prove willingness to pay at multiple price points. "Sales call recording" has strong and growing search volume. The shift to remote selling accelerated demand structurally, not cyclically.

Contrast — the same two ratings, done badly:

Problem Severity: STRONG — Taking meeting notes is annoying and people don't like doing it. This would save time. Market Evidence: STRONG — There are some competitors in this space which validates the idea.

The bad version gives ratings without evidence. No specifics, no data, no reasoning. It is worse than useless because it looks like analysis.

A full worked STOP verdict is in references/scoring-rubric.md.

Shortcuts Claude takes

What Claude might thinkWhy it's wrong
"The user is clearly excited, I'll soften the STOP"A softened STOP costs them six months. The verdict is the product.
"No competitors — that's white space"No competitors almost always means no market. Rate Market Evidence Weak and say why.
"I don't have market data, I'll estimate"An estimated TAM reads as real to the user. Write [NEED:] instead.
"Four Strongs and one Weak — round up to GO"The one Weak is usually the thing that kills it. Weak Business Viability alone is an ITERATE at best.
"Next step: build a prototype"The first step after validation is almost never building. Propose a demand test.
"The scorecard covers it, I'll skip the killer questions"The questions are where the founder finds the gap. Never drop the section.

Exit checklist

Not complete until every box is checked. Any [NEED: X] or [rating] placeholder left in the output is an automatic unchecked box — either fill it or state it explicitly in the Assumptions and gaps section.

  • Existence check passed, or the analysis was refused with reasons named
  • All 5 dimensions rated with 3–5 sentences of specific reasoning each
  • Every STRONG cites a named comparable, number, or observed behavior
  • Competitive table filled, or [NEED:] flagged and Market Evidence capped at Moderate
  • Verdict is one of GO / ITERATE / STOP, stated in the first line
  • If STOP, the reasoning explains why a pivot will not fix it
  • If ITERATE, the specific pivot is named
  • 3 killer questions target the weakest dimensions
  • 3 experiments listed with cost and signal
  • Every assumption is labeled ASSUMPTION: and collected at the end
  • No template placeholders remain

Next

  • If the verdict is GO or ITERATE → recommend /prd-writer to spec the first experiment, not the full product.
  • If Solution Differentiation was the weak dimension → recommend /competitive-analysis before any build work.
  • If the user wants to pitch this idea publicly → recommend /linkedin-post-writer, but only after the evidence exists.

© aakashg, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/idea-validator of aakashg/pm-claude-skills.

  • SKILL.md
  • references/scoring-rubric.md

Open the folder on GitHubat commit 64deebf

Compare with similar skills

Idea Validator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Idea Validator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Idea Validator this skillaakashg/pm-claude-skills112—~2.3kAutomated safety check: PassMIT
Agile Product Owneralirezarezvani/claude-skills28k3 repos~3.2kAutomated safety check: PassMIT
Prioritization Framework Advisordeanpeters/Product-Manager-Skills7.2k2 repos~4.2kAutomated safety check: PassCustom licence
Strategic Roadmap Planningdeanpeters/Product-Manager-Skills7.2k2 repos~4.7kAutomated safety check: PassCustom licence
Triagejoa23/linear-cli144—~699Automated safety check: PassMIT
Define Opportunity Treeproduct-on-purpose/pm-skills713—~1.1kAutomated safety check: PassApache-2.0

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Questions about Idea Validator

What does Idea Validator do?

A skill your agent uses when the user asks to validate a product idea, stress-test an idea, evaluate whether an idea is good, or decide whether to build something. Idea Validator is an agent skill from aakashg/pm-claude-skills. Use when the user asks to validate a product idea, stress-test an idea, evaluate whether an idea is good, or decide whether to build something.

When should I use Idea Validator?

Idea Validator fits situations like: the user asks to validate a product idea; stress-test an idea; evaluate whether an idea is good; decide whether to build something.

How do I install Idea Validator in Claude Code?

Run `npx skills add aakashg/pm-claude-skills --skill idea-validator -a claude-code`. Or copy the skill folder (skills/idea-validator in aakashg/pm-claude-skills) into .claude/skills/idea-validator in your project. Claude Code loads it when a task matches its description.

How do I install Idea Validator in Codex?

Run `npx skills add aakashg/pm-claude-skills --skill idea-validator -a codex`. Or copy the skill folder (skills/idea-validator in aakashg/pm-claude-skills) into .agents/skills/idea-validator in your project. Codex loads it when a task matches its description.

Can I use Idea Validator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aakashg/pm-claude-skills --skill idea-validator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/idea-validator, .gemini/skills/idea-validator, .github/skills/idea-validator and .opencode/skills/idea-validator in your project.

What does Idea Validator need to run?

SKILL.md names no scripts, command-line tools or credentials: Idea Validator is instructions for the agent only.

Does Idea Validator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Idea Validator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Idea Validator use?

Idea Validator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Idea Validator use?

About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.

What are the alternatives to Idea Validator?

Skills that share tags, products or a category with Idea Validator: Agile Product Owner (alirezarezvani/claude-skills, 28k stars), Prioritization Framework Advisor (deanpeters/Product-Manager-Skills, 7.2k stars), Strategic Roadmap Planning (deanpeters/Product-Manager-Skills, 7.2k stars) and Triage (joa23/linear-cli, 144 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Idea Validator?

aakashg (a GitHub user) maintains it in aakashg/pm-claude-skills, which has 112 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on August 8, 2026.

Source: aakashg/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.