product-market-fit-analysis

product-market-fit-analysis is a skill for Claude Code from manojbajaj95/claude-gtm-plugin. It costs 69 tokens per session (1,854 once invoked), scanned A, original, MIT.

A framework for checking whether a product has product-market fit—the point at which a defined group of customers finds it valuable enough to keep using. It uses customer surveys, retention data, and segment analysis.

In plain words
What is it for?
Use it to run product-market-fit surveys, study how long users stay, compare customer groups, identify early signals, and decide whether to scale.
Why use it?
It helps distinguish genuine customer demand from early interest and shows whether the product is ready to grow.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the claude-gtm-plugin plugin — 54 skills shipped together

Good fit Use it to run product-market-fit surveys, study how long users stay, compare customer groups, identify early signals, and decide whether to scale.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/manojbajaj95/claude-gtm-plugin/product-market-fit-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add manojbajaj95/claude-gtm-plugin --skill product-market-fit-analysis
Clone the repo
git clone --depth 1 https://github.com/manojbajaj95/claude-gtm-plugin

Made for: Claude Code.

Or install claude-gtm-plugin, the plugin that ships this one along with the rest of its 54 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for product-market-fit-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/product-market-fit-analysis/github.svg)](https://agentmods.dev/skills/manojbajaj95/claude-gtm-plugin/product-market-fit-analysis)
Your own site
<a href="https://agentmods.dev/skills/manojbajaj95/claude-gtm-plugin/product-market-fit-analysis"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/product-market-fit-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for product-market-fit-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/manojbajaj95/claude-gtm-plugin/product-market-fit-analysis"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/product-market-fit-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,854 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.01854
Opus 5 $0.00034 $0.00927
Sonnet 5 $0.00014 $0.00371
Haiku 4.5 $0.00007 $0.00185

Measured 13d ago against content hash a1e033566c6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

product-market-fit-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/product-market-fit-analysis/SKILL.md · 265 lines

How it starts

The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Market Fit Analysis

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

Comprehensive framework for assessing, achieving, and scaling product-market fit.

Quick Reference

Situation Use This Skill For
Measuring PMF Sean Ellis Survey
Retention analysis Retention Curves
PMF validation Leading Indicators
Segment-specific PMF Segment Analysis
Scaling decisions Post-PMF Strategy

Part 1: What Is PMF?

Definition

Product-market fit is the condition where a product satisfies a strong market demand. It's not binary — it's a spectrum.

Key Insight

PMF is obvious when you have it.

Matt MacInnis: "Product market fit is something where you absolutely know it when you see it. Therefore if you don't absolutely know it, you don't have it."

PMF Levels

Level Customers Focus
Nascent 3-5 Satisfaction
Developing 5-25 Demand
Strong 25-100 Efficiency
Extreme 100+ Scaling

Part 2: PMF Measurement Frameworks

Sean Ellis "Disappointment" Survey

The Question:

"How would you feel if you could no longer use this product?"

  • Very disappointed
  • Somewhat disappointed
  • Not disappointed

Read the full file on GitHub · 265 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 265 lines · 69 tokens per session scan A a1e033566c6d

Subscribe to this mod's changes

product-market-fit-analysis is a skill published in the GitHub repository manojbajaj95/claude-gtm-plugin (100 stars, last pushed 3mo ago), licensed MIT. It adds 69 tokens to every session and 1,854 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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