Gohighlevel

OrganizationPopular

nowork-studio

gohighlevel

Operate connected GoHighLevel CRM accounts through the NotFair MCP. Use for GoHighLevel, HighLevel, GHL contacts, conversations, opportunities, calendars, pipelines, tags, tasks, forms, invoices, products, or approved CRM changes.

Overview

Publisher	nowork-studio
Repository	`notfair-plugin`
Skill name	`gohighlevel`
Stars	3.8K
Forks	488
Bundled files	2
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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by nowork-studio on GitHub. Read the source before you install it.

Installation

Install the Gohighlevel 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.
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.

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/nowork-studio/notfair-plugin.git /tmp/notfair-plugin
mkdir -p .claude/skills
cp -r /tmp/notfair-plugin/gohighlevel .claude/skills/gohighlevel

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

Use it in TypingMind

Enable Gohighlevel 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 Gohighlevel 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 Gohighlevel 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.

GoHighLevel

Follow ../docs/mcp-connection.md. Resolve ~~gohighlevel to the live connection. Use its current instructions and capability descriptions to choose tools, and verify the requested location from live data. Do not infer access from an ad platform or another connected CRM.

This skill is revenue-ops on the connected HighLevel account: contacts, conversations, opportunities, and calendar. Make writes only when the user explicitly requested them. Older clients may still reach a dedicated /api/mcp/gohighlevel route; do not add that as a second plugin MCP server. Authentication uses a NotFair PAT on the connect page; one PAT per HighLevel connection. If the connector is missing, unauthorized, or read-only for a requested write, direct the user to reconnect with the needed scopes and stop.

Establish the live location

Confirm connected locations with a harmless read. Agency (Company) connections must pass an explicit locationId for per-location tools; Location connections may omit it.
Prefer specific typed tools over the generic request escape hatch. That request surface is read-only GET.
Record the account currency, location, pipeline or calendar context, and whether the session can mutate.

Core reads include contacts, conversations, opportunities, calendar events, and locations, plus metadata for users, pipelines, calendars, custom fields, tags, and tasks. Intake reads include forms, surveys, invoices, transactions, and products. Discover the exact schemas; do not treat any skill-level list as the only allowed surface.

Read before changing

Resolve identifiers before creating records so duplicates are not introduced. List custom fields before interpreting custom-field ids. Money is in account currency; cent values are often integers. Pagination cursors vary (startAfterId, startAfterDate, startAfter). Use ISO 8601 datetimes.

Lead with the current contact, conversation, opportunity, or calendar state and the smallest user-requested change.

Execute approved changes safely

Show the exact location, object, current value, proposed value, risk, and rollback before acting. Obtain approval, apply once, then read back.

Writes commonly include contact create/upsert/update, opportunity create/update, calendar appointment create/update/delete, tag create, and contact-task create. Choose from the live capability descriptions.

Do not write unless the user explicitly asked for that mutation.
Resolve existing ids first to avoid duplicate contacts, opportunities, or appointments.
After an approved mutation, use returned evidence or a fresh read to confirm the resulting state. Report partial failures plainly.

A proposed CRM change remains ready_for_review until the live connector confirms it.

Bundled files

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

agents/openai.yaml1 KB
evals/evals.json1 KB

Frequently asked questions

What does the Gohighlevel AI skill do?

Why use Gohighlevel on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nowork-studio/notfair-plugin/tree/main/gohighlevel. 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 Gohighlevel?

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 Gohighlevel?

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

Is the Gohighlevel AI skill free?

Yes. It is published on GitHub by nowork-studio 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

GoHighLevel

Establish the live location

Read before changing

Execute approved changes safely

Bundled files

Frequently asked questions

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