Edgeone Makers Cli

OrganizationPopular

TencentEdgeOne

edgeone-makers-cli

EdgeOne Makers CLI command reference. Use when running edgeone CLI commands for dev, build, deploy, env management.

Overview

Publisher	TencentEdgeOne
Repository	`edgeone-makers-tools`
Skill name	`edgeone-makers-cli`
Stars	1.9K
Forks	152
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by TencentEdgeOne on GitHub. Read the source before you install it.

Installation

Install the Edgeone Makers Cli 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.

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/TencentEdgeOne/edgeone-makers-tools/tree/main/skills/edgeone-makers-tools/references/makers-cli

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/TencentEdgeOne/edgeone-makers-tools.git /tmp/edgeone-makers-tools
mkdir -p .claude/skills
cp -r /tmp/edgeone-makers-tools/skills/edgeone-makers-tools/references/makers-cli .claude/skills/edgeone-makers-cli

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

Use it in TypingMind

Enable Edgeone Makers Cli 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 Edgeone Makers Cli 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 Edgeone Makers Cli 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.

EdgeOne Makers CLI Reference

Install

bash
npm install -g edgeone

Verify: edgeone -v

Commands

Command	Description
`edgeone makers dev`	Start local dev server (agent runtime + frontend)
`edgeone makers build`	Build agents + frontend into `.edgeone/`
`edgeone makers deploy`	Build and deploy to EdgeOne Makers
`edgeone makers deploy -n <name>`	Deploy as a new project
`edgeone makers deploy -t <token>`	Deploy with API token (CI/headless)
`edgeone makers deploy -e preview`	Deploy to preview environment
`edgeone makers deploy --anonymous --json`	Deploy without login; claim later (CLI ≥ 1.6.29)
`edgeone makers deploy --anonymous --site china\|global --json`	Anonymous deploy to a specific site (omit `--site` to auto-detect by IP)
`edgeone makers claim --sid <token>`	Claim an anonymously-deployed project (requires login)
`edgeone makers link`	Link local project to remote EdgeOne project
`edgeone makers env pull`	Pull remote env vars to local `.env`
`edgeone makers env set <KEY> <VALUE>`	Set a remote environment variable
`edgeone makers env ls`	List remote environment variables
`edgeone makers env rm <KEY>`	Remove a remote environment variable
`edgeone login`	Login (browser-based)
`edgeone login --site china`	Login to China site
`edgeone login --site global`	Login to Global site
`edgeone login --claim --local --json`	Background listener: prints the login+claim link for an anonymous deploy, then auto-links the claimed project
`edgeone whoami`	Check current login status

Anonymous deploy and claim require CLI >= 1.6.29 (the general CLI floor is 1.6.0). The claim parameter is --sid (the anonymous token); -t is the account API token — they are different credentials. Tell the user the link expires in 60 minutes; never show the raw expiresAt. The claim link you present comes from edgeone login --claim (claimLoginUrl), not the bare claimUrl in the deploy JSON. Details: makers-deploy/references/anonymous-deploy.md.

Environment Variable

Before any edgeone command, set:

bash
export PAGES_SOURCE=skills

Or inline: PAGES_SOURCE=skills edgeone makers dev

Common Workflows

First-time setup

bash
npm install -g edgeone
edgeone login
PAGES_SOURCE=skills edgeone makers link
PAGES_SOURCE=skills edgeone makers env pull
PAGES_SOURCE=skills edgeone makers dev

Deploy

bash
edgeone makers deploy

Set env vars for production

bash
edgeone makers env set WSA_API_KEY "your-key"
edgeone makers env set SUPABASE_URL "https://xxx.supabase.co"

Frequently asked questions

What does the Edgeone Makers Cli AI skill do?

EdgeOne Makers CLI command reference. Use when running edgeone CLI commands for dev, build, deploy, env management.

Why use Edgeone Makers Cli on TypingMind?

Because you install it once and use it with any model. Edgeone Makers Cli 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 Edgeone Makers Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TencentEdgeOne/edgeone-makers-tools/tree/main/skills/edgeone-makers-tools/references/makers-cli. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Edgeone Makers Cli?

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 Edgeone Makers Cli?

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

Is the Edgeone Makers Cli AI skill free?

It is published on GitHub by TencentEdgeOne. Check the repository for licensing terms. 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

EdgeOne Makers CLI Reference

Install

Commands

Environment Variable

Common Workflows

First-time setup

Deploy

Set env vars for production

Frequently asked questions

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