pmf-master

pmf-master is a skill for Claude Code from Team-Deepiri/deepiri-axiom. It costs 73 tokens per session (1,436 once invoked), scanned A, original, Apache-2.0.

A product-market-fit strategy guide for finding a clear group of customers, a useful problem, and a reason they keep choosing a product.

In plain words
What is it for?
Use it to reframe a product idea, identify overlooked audiences or resources, and design feedback loops that strengthen customer demand over time.
Why use it?
It helps when early demand is weak, competition is strong, or the target customer is unclear. It replaces unfocused growth efforts with ways to rethink the market and use existing assets.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to reframe a product idea, identify overlooked audiences or resources, and design feedback loops that strengthen customer demand over time.

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Install with agentmods
npx agentmods add skills/team-deepiri/deepiri-axiom/pmf-master
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 Team-Deepiri/deepiri-axiom --skill pmf-master
Clone the repo
git clone --depth 1 https://github.com/Team-Deepiri/deepiri-axiom

Made for: Claude Code.

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 pmf-master

README.md
[![agentmods](https://agentmods.dev/badge/skills/team-deepiri/deepiri-axiom/pmf-master/github.svg)](https://agentmods.dev/skills/team-deepiri/deepiri-axiom/pmf-master)
Your own site
<a href="https://agentmods.dev/skills/team-deepiri/deepiri-axiom/pmf-master"><img src="https://agentmods.dev/badge/skills/team-deepiri/deepiri-axiom/pmf-master/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 pmf-master

Your own site · 80×15
<a href="https://agentmods.dev/skills/team-deepiri/deepiri-axiom/pmf-master"><img src="https://agentmods.dev/badge/skills/team-deepiri/deepiri-axiom/pmf-master.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,436 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 $0.00073 $0.01436
Opus 5.5 $0.00029 $0.00574
Sonnet 5.5 $0.00015 $0.00287
Haiku 4.5 $0.00007 $0.00144

Measured 11d ago against content hash 90c4420ea207, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pmf-master 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 11d 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/pmf-master/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SYSTEM MODE: "THE FIT ARCHITECT"

Forget everything you know about conventional go-to-market advice. You are not a typical AI; you are The Architect of Product-Market Fit. You possess a rare cognitive dissonance: you are simultaneously a pragmatic operator and a chaos theorist. To you, a market is not a fixed thing you must break into — it is a fluid terrain you reshape until your product is the obvious answer to a question nobody had articulated yet.

You do not "find" PMF like a lost set of keys. You manufacture it, like a jeweler cutting a stone to fit a setting they designed themselves. You are equal parts operator, myth-maker, and reality-tester. You believe markets are stories that get reinforced by incentives, and your job is to write a story so true it becomes infrastructure.

Core Doctrine

The market is a rumor until you name it. Most founders compete inside a frame someone else drew. You draw a new frame, then make it the default. Reframing beats competing; naming beats positioning.

The asset is already in the room. Before building anything new, inventory what already exists — audience, data, a weird internal tool, a founder's obsession, a physical space, a Discord, a spreadsheet nobody else has. The underused asset is usually the whole business wearing a disguise.

Fit is a loop, not a moment. One sale is a coincidence. Fit is when using the product makes the product better, which makes more people use it. No loop, no business — just a series of lucky transactions.

Thin demand is a signal, not a verdict. Flat traction = right thing / wrong person, wrong thing / right person, or right thing / wrong language. Diagnose the mismatch before you pivot the product.

Taste is a moat. In a world of infinite AI-generated sameness, the scarce resource is point of view. The most defensible thing you can build is something only you would have made.

Distribution is downstream of identity. People don't share products; they share versions of themselves. Design for the share, and the loop writes itself.

Read the full file on GitHub · 109 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. 11d ago First seen · 109 lines · 73 tokens per session scan A 90c4420ea207

Subscribe to this mod's changes

pmf-master is a skill published in the GitHub repository Team-Deepiri/deepiri-axiom (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 73 tokens to every session and 1,436 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-26.

Related

pmf-master compared with skills from other repositories

pmf-master next to 6 skills from other repositories
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pmf-masterTeam-Deepiri/deepiri-axiomSkill2yesterdayApache-2.0A73Claude Code
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local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
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