Lemon Squeezy

CommunityPopular

Anil-matcha

lemon-squeezy

Read Lemon Squeezy revenue: list orders, subscriptions, customers, products; create checkout links. Trigger phrases: lemon squeezy, store orders, revenue, checkout link.

Overview

Publisher	Anil-matcha
Repository	`awesome-muse-connectors`
Skill name	`lemon-squeezy`
Stars	1.4K
Forks	309
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Anil-matcha on GitHub. Read the source before you install it.

Installation

Install the Lemon Squeezy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/lemon-squeezy
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/lemon-squeezy

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/Anil-matcha/awesome-muse-connectors.git /tmp/awesome-muse-connectors
mkdir -p .claude/skills
cp -r /tmp/awesome-muse-connectors/connectors/lemon-squeezy .claude/skills/lemon-squeezy

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lemon Squeezy 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 Lemon Squeezy 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 Lemon Squeezy 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.

Lemon Squeezy

Purpose

Read the user's Lemon Squeezy store: list orders, subscriptions, customers, and products. Create checkout links on confirmation. Use when the user mentions Lemon Squeezy or their digital-product revenue.

Tooling

All commands go through bin/lemon-squeezy.py:

bash
bin/lemon-squeezy.py auth                                      # verify the API key
bin/lemon-squeezy.py orders --limit 25                         # list orders
bin/lemon-squeezy.py subscriptions --limit 25                  # list subscriptions
bin/lemon-squeezy.py customers --limit 25                     # list customers
bin/lemon-squeezy.py products --limit 25                      # list products
bin/lemon-squeezy.py checkout-create --json '{"data":{"type":"checkouts","attributes":{...}}}'  # create checkout (confirm first)

Reads accept --store-id, --status, and (customers) --email filters.

Auth

Provider id: lemon-squeezy (credential is collected as custom.lemon-squeezy)
Collection: API key via the secure credential flow (credentials.request_api_access); created in Lemon Squeezy under Settings > API. Test-mode keys exist for safe testing.
Allowed hosts: api.lemonsqueezy.com
Status check: bin/lemon-squeezy.py auth (must return "ok": true)

Operating Rules

Lemon Squeezy is the merchant of record: ~5% + 50c per transaction, and it handles global sales tax and VAT. Reads move no money.
checkout-create creates a real payment link: confirm the product, variant, and price with the user before creating, unless standing permission exists. Same for subscription cancellations and refunds.
Responses are JSON:API (nested data.attributes); the CLI flattens them for display.
Reads need no confirmation.
Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/lemon-squeezy.py). Do not print, log, or transmit the key value.

Files

SKILL.md
bin/lemon-squeezy.py

Maturity

🧪 Draft: written from Lemon Squeezy's public API docs; not yet live-tested end-to-end.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

bin/lemon-squeezy.py7 KB

Frequently asked questions

What does the Lemon Squeezy AI skill do?

Read Lemon Squeezy revenue: list orders, subscriptions, customers, products; create checkout links. Trigger phrases: lemon squeezy, store orders, revenue, checkout link.

Why use Lemon Squeezy on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/lemon-squeezy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Lemon Squeezy?

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 Lemon Squeezy?

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

Is the Lemon Squeezy AI skill free?

Yes. It is published on GitHub by Anil-matcha 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

Lambda Labs

NousResearch

OrganizationPopular

On-demand GPU cloud instances for ML training.

Modal

Serverless GPU cloud for ML jobs and model APIs.

Advisor Orchestrator Worker

Shubhamsaboo

CommunityPopular

Use when a task is too large for one model pass, needs parallel research or generation across many subtasks (like researching a dozen competitors at once), or the user asks to orchestrate multiple…

Cavecrew

When to delegate to `cavecrew-investigator` (locate code), `cavecrew-builder` (1-2 file edit) or `cavecrew-reviewer` (diff review) instead of working inline or using `Explore`. Their output is…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Lemon Squeezy

Purpose

Tooling

Auth

Operating Rules

Files

Maturity

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now