Edgeone Makers Storage

OrganizationPopular

TencentEdgeOne

edgeone-makers-storage

KV and Blob storage services on EdgeOne Makers. KV for edge key-value pairs, Blob for file/object storage in Cloud Functions. Covers SDK usage, setup, and troubleshooting.

Overview

Publisher	TencentEdgeOne
Repository	`edgeone-makers-tools`
Skill name	`edgeone-makers-storage`
Stars	1.9K
Forks	152
Bundled files	2
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.
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 TencentEdgeOne on GitHub. Read the source before you install it.

Installation

Install the Edgeone Makers Storage 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-storage

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-storage .claude/skills/edgeone-makers-storage

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

Use it in TypingMind

Enable Edgeone Makers Storage 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 Storage 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 Storage 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 Storage

🗄️ There is NO managed database on this platform — no SQL, no MongoDB, no Prisma, no ORM. Do not reach for sqlite, pg, mysql, mongodb, or an in-memory array (it resets on every cold start / redeploy). Blob IS your database. Any dynamic data a generated site needs to persist — guestbook messages, uploaded drawings, votes, leaderboards, per-user save state, form submissions — is modeled as Blob keys. Model your "tables" as key prefixes (messages/<id>.json, users/<uid>.json). See references/blob.md → "Blob as your backend".

⚠️ Local dev does NOT always require login. edgeone makers dev runs without authentication for pure-static previews. Login only becomes necessary through this chain: using Blob ⇒ the project must be linked ⇒ linking requires a logged-in account first. So if (and only if) dev/deploy must read/write Blob (or any credentialed backend), run edgeone login (browser) or pass -t <token> before linking/starting dev. If your site has no backend, skip login and just run edgeone makers dev. See also makers-env-adaption (Login authentication + Project linking).

⛔ When the project uses Blob/KV, ALWAYS pass -n <project-name> to edgeone makers dev. Bare edgeone makers dev drops into an interactive "Link existing / Create and link" picker that hangs in sandbox / non-interactive environments. With -n, the CLI auto-creates the project if the name doesn't exist yet — one command, no separate step needed.

🔒 Every Blob store: getStore({ name, consistency: "strong" }) — never the string form getStore("name"). The string form defaults to eventual consistency and causes "I just wrote but the next read returns stale/null" bugs. Full rule and rationale: references/blob.md → IRON RULE (top of file).

EdgeOne Makers provides two storage services. Choose based on your runtime and data type:

Storage	Runtime	Data Type	SDK	Use Case
KV	Edge Functions only	Small key-value pairs (≤ 25 MB)	Global variable (no npm)	Counters, config, session tokens, simple CRUD
Blob	Cloud Functions (Makers Functions)	Files & objects (images, docs, uploads)	`@edgeone/pages-blob` (npm)	User uploads, AI-generated content, file management

Decision Tree


Need to persist anything (records, lists, counters, uploads, save state)?
├─ Edge Function (V8 runtime, no npm)?
│   → KV Storage (global variable)           → read references/kv.md
└─ Cloud Function (Node.js, has npm)?  ← default for any real backend
    ├─ Files / images / large objects?
    │   → Blob Storage                       → read references/blob.md
    └─ Structured data (records, lists, counters, per-user state)?
        → Blob with setJSON / key prefixes   → read references/blob.md

Routing

Task	Read
KV Storage (Edge Functions, global variable, put/get/delete/list)	references/kv.md
Blob Storage (Cloud Functions, npm SDK, file upload/download, pre-signed URLs)	references/blob.md

Bundled files

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

references/blob.md19 KB
references/kv.md8 KB

Frequently asked questions

What does the Edgeone Makers Storage AI skill do?

KV and Blob storage services on EdgeOne Makers. KV for edge key-value pairs, Blob for file/object storage in Cloud Functions. Covers SDK usage, setup, and troubleshooting.

Why use Edgeone Makers Storage on TypingMind?

Because you install it once and use it with any model. Edgeone Makers Storage 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 Storage 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-storage. 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 Edgeone Makers Storage?

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 Storage?

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

Is the Edgeone Makers Storage 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 Storage

Decision Tree

Routing

Bundled files

Frequently asked questions

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