Pricing logo

Pricing

Community
AIDevGTM
pricing

Help the user decide what to charge and how to package it: the value metric, the tiers, the free-to-paid line, and finding the actual number. Use when the user is guessing at a price, priced too cheap and can't change it, is stuck on free vs paid, or believes "developers won't pay" so never charges.

Overview

PublisherAIDevGTM
Repositorygtm-cofounder
Skill namepricing
Stars
323
Forks
31
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 AIDevGTM on GitHub. Read the source before you install it.

Installation

Install the Pricing 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/AIDevGTM/gtm-cofounder/tree/main/skills/12-pricing
  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/AIDevGTM/gtm-cofounder.git /tmp/gtm-cofounder
mkdir -p .claude/skills
cp -r /tmp/gtm-cofounder/skills/12-pricing .claude/skills/pricing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pricing 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 Pricing 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 Pricing 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.

Pricing (what to charge, and how)

Price is not a number you pick at the end. It is a positioning decision: it tells the market who you are, what you replace, and how much you believe you are worth. Get it from evidence, not fear.

Use this when: you are guessing at a price, you priced on a gut feeling and now feel stuck with it, you don't know where the free line goes, developers use it and nobody pays, or you believe "developers won't pay for this" so you have never charged at all.

The core idea

Three decisions, in order. Most founders skip to the third and wonder why nothing converts.

  1. The value metric (what you charge per). The single most important pricing decision. Get this wrong and no tier structure saves you.
  2. The packaging (what is free, what is paid, what is enterprise, and what triggers the upgrade).
  3. The number (the actual price on each tier).

One rule sits under all of it: price against the value the customer gets, never against your cost or your fear. Your AWS bill is not a pricing strategy.

First: are you even ready to price?

Do not gate before you have proof people come back. If week-2 retention is weak, a paywall just turns a leaky funnel into a smaller leaky funnel. Prove retention, then monetize (see know-if-its-working). The one exception: if buyers are already emailing "can we pay you for X," that is a green light regardless of stage. Stated willingness to pay is the strongest signal there is.

Framework: the value metric

Charge for the thing that grows as the customer gets more value. A good metric:

  • Scales with their success, so the bill grows as they grow (seats, active users, projects, events, API calls, GB, builds, endpoints monitored).
  • Stays predictable enough that finance can forecast it. Pure usage that spikes 10x overnight creates bill shock and churn.
  • Is legible in one sentence. If a dev cannot predict roughly what they will pay, they will not adopt.
Does the value come mostly from more PEOPLE using it (collaboration, seats)?
├─ YES → per-seat, but watch for seat-sharing and bot accounts deflating it
└─ NO  → value comes from more USAGE (events, calls, compute, data)
         → usage-based, with a floor and caps so the bill stays predictable

Hybrid is common and fine: a platform fee plus usage. Avoid per-seat when the value is machine or usage driven (you tax the thing you want more of), and avoid pure usage when the value is human collaboration (you make teams ration access).

Framework: packaging (the free-to-paid line)

For an OSS or PLG dev tool, the free tier is acquisition, not charity. The line is not "how much can I give away," it is "what does a serious team need that a solo hacker does not."

  • Free / open source: the core value, for one developer or a tiny team. Generous enough to become part of their workflow. This is your distribution.
  • Paid (team): the things that appear the moment it matters to a company, not a person: collaboration and seats, higher limits and scale, SSO, audit logs, roles, compliance (SOC 2, on-prem, data residency), support and SLAs.
  • Enterprise: "contact us." Starts wherever security review, procurement, and custom terms enter, usually the moment someone asks for SSO or a DPA.

The upgrade should trigger at a moment of earned value, not an arbitrary wall. Good: "you added your third teammate," "you crossed 10k events," "you need SSO." Bad: a countdown timer, or hiding a feature the tool is useless without.

Rule of thumb: charge for team, scale, and trust. Give away individual value. Developers forgive a paywall on "my company needs this." They resent one on "the thing you advertised."

Framework: finding the number

Never pick it in a conference room. In order of strength:

  1. Deflected willingness to pay. The "can we pay for X" messages you have already received. Reply and ask: what was the cost of not having it, and what would it need to be to get approved internally? Free, and the highest-signal pricing research that exists.
  2. Value anchoring. Price against what you replace and what you save. Save a team 10 hours a month at a loaded $100/hr and that is $1,000 of value; charging $50 leaves the room. Capture a slice of value delivered, do not undercut a rival.
  3. Competitor anchoring. Know the number already in the buyer's head. If they compare you to a $30/mo tool, you need a reason to be $99, or a reason to be $9. Both can win. "Roughly the same but a bit cheaper" loses.
  4. The range question (in talk-to-users calls): "At what price would this be so expensive you would not consider it? At what price would it be so cheap you would doubt the quality?" The gap between the two is your range.

Thresholds worth knowing:

  • If nobody ever pushes back on price, you are too cheap. A healthy amount of "that is a lot" is correct.
  • Aim for the customer to get roughly 10x the price in value. Below about 3x, they churn; the math does not survive a budget review.
  • Annual is about two months free (15 to 20 percent off). It buys cash and retention.
  • Anchor high. Show the expensive tier so the one you want looks reasonable. Three tiers convert better than two, and the middle is usually the target.
  • Free-to-paid conversion of 2 to 5 percent is normal for OSS/PLG. Near zero usually means the free-to-paid line is wrong, not the price.

Mistakes that look reasonable

  • Cost-plus pricing. "It costs me $8 in compute so I will charge $12." Cost is a floor, not a strategy. Price the value.
  • Never charging. "Developers won't pay" is almost always "I have not asked, and I am scared to." The deflected-payment emails already disprove it.
  • Too many tiers. Four or more creates decision paralysis. Three is the ceiling for self-serve.
  • A free tier that is too generous. If a real company never needs to upgrade, you built a great free tool and no business. Move the line to team, scale, and compliance.
  • Per-seat on a machine-value product (or usage on a collaboration product). You end up taxing the exact behavior you want more of.
  • Competing on price. "Best value" and "cheaper than X" are a race to the bottom, and by the puffery rule, unprovable. Win on the value metric and the wedge, not the discount.
  • Fear-driven discounting. Caving at the first "too expensive" trains every buyer to push and signals you do not believe your own value.
  • Publishing usage pricing with no cap. Predictability beats a low headline rate. Bill shock is the top churn driver for usage models.

Your next 30 minutes

  • Name your value metric in one sentence: "we charge per ___." Check that it grows with the customer's success and stays predictable.
  • Draw the free-to-paid line: what a solo dev gets free vs what a company must pay for (seats, scale, SSO/compliance, support).
  • Find every "can we pay for X" message you have deflected. Draft the three-question reply (cost of not having it, shape of an approvable tier, rough budget).
  • Sketch three tiers (free/OSS, team, enterprise-contact-us) with one clear upgrade trigger between each.
  • Put a real number on the team tier, anchored to value, not cost. If it does not make you slightly nervous, it is too low.

Built from real dev-tool GTM experience, with frameworks from Adam Frankl (The Developer-Facing Startup) and Jakub Czakon (markepear.dev). Pricing is the highest-leverage number you'll set, and the easiest to get wrong alone. Want a human read? Reach out to me on LinkedIn.

Frequently asked questions

What does the Pricing AI skill do?

Help the user decide what to charge and how to package it: the value metric, the tiers, the free-to-paid line, and finding the actual number. Use when the user is guessing at a price, priced too cheap and can't change it, is stuck on free vs paid, or believes "developers won't pay" so never charges.

Why use Pricing on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AIDevGTM/gtm-cofounder/tree/main/skills/12-pricing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pricing?

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 Pricing?

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

Is the Pricing AI skill free?

Yes. It is published on GitHub by AIDevGTM 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇