Roboflow Api Reference

Organization

roboflow

roboflow-api-reference

Protocol-level facts for Roboflow REST and Inference APIs — URL patterns, auth, parameters, error codes, and SDK quick-start. For deployment strategy and Workflow execution patterns, see roboflow-inference.

Overview

Publisher	roboflow
Repository	`computer-vision-skills`
Skill name	`roboflow-api-reference`
Stars	50
Forks	11
Bundled files	3
License	Apache-2.0
Links	Skill source Repository

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

Installation

Install the Roboflow Api Reference 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/roboflow/computer-vision-skills/tree/main/skills/roboflow-api-reference
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/roboflow/computer-vision-skills/tree/main/skills/roboflow-api-reference

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/roboflow/computer-vision-skills.git /tmp/computer-vision-skills
mkdir -p .claude/skills
cp -r /tmp/computer-vision-skills/skills/roboflow-api-reference .claude/skills/roboflow-api-reference

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

Use it in TypingMind

Enable Roboflow Api Reference 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 Roboflow Api Reference 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 Roboflow Api Reference 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.

For agents: This skill is authored in roboflow/computer-vision-skills. If your client already has it loaded as a skill (for example from a Roboflow plugin), use that copy. The skill://roboflow/<name>/SKILL.md MCP resources serve the same skills for clients that don't have them loaded.

Tip: If you're connected to the Roboflow MCP server, prefer its tools (projects_*, versions_*, models_*, workflows_*, images_*, …) over raw REST calls — they handle auth, pagination, and typed responses for you. The REST patterns below stay relevant if you're not using MCP.

Roboflow API Reference — Overview

API Hosts

Host	Base URL	Purpose
Platform API	`https://api.roboflow.com`	CRUD for projects, images, versions, training, upload
Serverless Inference	`https://serverless.roboflow.com`	Model inference + Workflow execution
Dedicated Deployment	`https://<name>.roboflow.cloud`	Private GPU inference (same API as serverless)
Self-hosted Inference	`http://localhost:9001`	Local inference server via `inference` package

Use the inference-sdk Python package as the preferred client for all inference hosts. It handles auth, retries, and response parsing.

Authentication

Method	Where	Format
Query parameter	All hosts	`?api_key=YOUR_KEY`
Request body	Platform API + Workflow inference	`"api_key": "YOUR_KEY"` in JSON body
Header	MCP server (`mcp.roboflow.com`)	`x-api-key: YOUR_KEY` (handled automatically by MCP)

API keys are workspace-scoped. Get yours from Workspace Settings > API Keys in the Roboflow dashboard (app.roboflow.com/{workspace}/settings/api). Personal API keys are at /settings/account → API Keys tab.

SDKs

SDK	Install	Primary Use
Python (`inference-sdk`)	`pip install inference-sdk`	Inference via `InferenceHTTPClient`
Python (`roboflow`)	`pip install roboflow`	Upload, training, project management
JavaScript (`roboflow.js`)	Browser script tag	Real-time on-device web inference
iOS (Swift)	CocoaPods/SPM	On-device mobile inference

Python inference-sdk Quick Start

python
from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",  # or dedicated URL, or localhost
    api_key="YOUR_KEY"
)
result = CLIENT.infer("image.jpg", model_id="your-project/1")

Python roboflow SDK Quick Start

python
import roboflow

rf = roboflow.Roboflow(api_key="YOUR_KEY")
project = rf.workspace("my-workspace").project("my-project")

# Upload
project.upload(image_path="image.jpg", split="train")

# Inference
model = project.version(1).model
result = model.predict("image.jpg", confidence=40).json()

Host Selection Guide

Task	Host to Use
Run model inference	`serverless.roboflow.com`
Run Workflows	`serverless.roboflow.com`
Upload images	`api.roboflow.com`
Manage projects/versions	`api.roboflow.com`
Start training	`api.roboflow.com`
High-throughput / SLA inference	Dedicated deployment URL
Air-gapped / on-prem inference	Self-hosted `localhost:9001`
Real-time video / webcam / RTSP	WebRTC via `inference_sdk.webrtc` against serverless or local — see `skill://roboflow/roboflow-inference/workflows.md` ("Video Stream" section). Not a plain HTTP call.

Rate Limits

Serverless API: rate limits vary by plan
File upload max: 20 MB

skill://roboflow/roboflow-api-reference/inference.md — inference URL patterns, request/response formats
skill://roboflow/roboflow-api-reference/rest-api.md — platform REST API endpoints (CRUD, upload, training)
skill://roboflow/roboflow-api-reference/api-key-management.md — creating and managing API keys via REST, MCP tools, and Python CLI. When creating a key, scope it to least privilege if the workspace has Advanced API Keys; if not, tell the user scoped keys are an Enterprise feature.

Bundled files

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

Frequently asked questions

What does the Roboflow Api Reference AI skill do?

Why use Roboflow Api Reference on TypingMind?

Because you install it once and use it with any model. Roboflow Api Reference 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 Roboflow Api Reference in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/roboflow/computer-vision-skills/tree/main/skills/roboflow-api-reference. 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 Roboflow Api Reference?

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 Roboflow Api Reference?

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

Is the Roboflow Api Reference AI skill free?

Yes. It is published on GitHub by roboflow under the Apache-2.0 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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Roboflow Api Reference

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Roboflow API Reference — Overview

API Hosts

Authentication

SDKs

Python inference-sdk Quick Start

Python roboflow SDK Quick Start

Host Selection Guide

Rate Limits

Related Pages

Bundled files

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Roboflow API Reference — Overview

API Hosts

Authentication

SDKs

Python inference-sdk Quick Start

Python roboflow SDK Quick Start

Host Selection Guide

Rate Limits

Related Pages

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now