Bkend Data

Q: Why use Bkend Data on TypingMind?

Because you install it once and use it with any model. Bkend Data 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.

Q: How do I install Bkend Data in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/bkend-data. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Q: Which AI models can use Bkend Data?

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.

Q: How many AI models can I use with Bkend Data?

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

Q: Is the Bkend Data AI skill free?

Yes. It is published on GitHub by ww-w-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

Q: 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.

Q: 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.

Organization

ww-w-ai

bkend-data

bkend.ai database — CRUD, column types, filtering, sorting, relations, indexing. Triggers: bkend table, bkend CRUD, bkend column, bkend relation, bkend data

Overview

Publisher	ww-w-ai
Repository	`bkit-claude-code`
Skill name	`bkend-data`
Stars	601
Forks	154
Bundled files	Instructions only
License	Apache-2.0
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by ww-w-ai on GitHub. Read the source before you install it.

Installation

Install the Bkend Data 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/ww-w-ai/bkit-claude-code.git /tmp/bkit-claude-code
mkdir -p .claude/skills
cp -r /tmp/bkit-claude-code/skills/bkend-data .claude/skills/bkend-data

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

Use it in TypingMind

Enable Bkend Data 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 Bkend Data 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 Bkend Data 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.

bkend.ai Database Guide

Column Types (7)

Type	Description	Example
String	Text	name, email
Number	Numeric	age, price
Boolean	True/false	isActive
Date	Date/time	birthDate
Array	Array	tags: ["a","b"]
Object	Nested object	address: {city, zip}
Mixed	Any type	metadata

Constraints

required: Field must have a value
unique: No duplicate values allowed
default: Default value when not provided

Auto System Fields

Field	Type	Description
id	String	Auto-generated unique ID
createdBy	String	Creator user ID
createdAt	Date	Creation timestamp
updatedAt	Date	Last update timestamp

Important: bkend uses id (NOT _id) in all API responses.

MCP Table Management Tools

Tool	Purpose	Scope
`backend_table_create`	Create table	table:create
`backend_table_list`	List tables	table:read
`backend_table_get`	Get table detail + schema	table:read
`backend_table_delete`	Delete table	table:delete
`backend_field_manage`	Add/modify/delete fields	table:update
`backend_index_manage`	Manage indexes	table:update
`backend_schema_version_list`	Schema version history	table:read
`backend_schema_version_get`	Schema version detail	table:read
`backend_schema_version_apply`	Apply schema version (rollback)	table:update
`backend_index_version_list`	Index version history	table:read
`backend_index_version_get`	Index version detail	table:read

MCP Data CRUD Tools

Tool	Purpose	Key Parameters
`backend_data_list`	List records (filter, sort, paginate)	tableId, page?, limit?, sortBy?, sortDirection?, andFilters?, orFilters?
`backend_data_get`	Get single record	tableId, recordId
`backend_data_create`	Create record	tableId, data: { field: value }
`backend_data_update`	Partial update record	tableId, recordId, data: { field: value }
`backend_data_delete`	Delete record	tableId, recordId

All Data CRUD tools require: organizationId, projectId, environmentId (from get_context).

Filter Operators

Operator	Meaning	Example
`$eq`	Equal	`{ "status": { "$eq": "active" } }`
`$ne`	Not equal	`{ "role": { "$ne": "admin" } }`
`$gt` / `$gte`	Greater than / >=	`{ "age": { "$gt": 18 } }`
`$lt` / `$lte`	Less than / <=	`{ "price": { "$lt": 100 } }`
`$in` / `$nin`	In / Not in array	`{ "tag": { "$in": ["a","b"] } }`

MCP Guide Docs (via search_docs)

Use search_docs tool to access these guides:

Doc ID	Content
`4_howto_implement_data_crud`	CRUD implementation patterns
`7_code_examples_data`	CRUD + file upload code examples

Use get_operation_schema to get any tool's input/output schema.

REST Data API

Method	Endpoint	Description
GET	/v1/data/{table}	List (filter, sort, page, limit)
POST	/v1/data/{table}	Create
GET	/v1/data/{table}/{id}	Get single
PATCH	/v1/data/{table}/{id}	Partial update
DELETE	/v1/data/{table}/{id}	Delete

Filtering

Text search: ?search=keyword
AND filter: ?filter[field1]=value1&filter[field2]=value2
Comparison operators: $eq, $ne, $gt, $gte, $lt, $lte, $in, $nin
Sort: ?sort=field:asc (or desc)
Pagination: ?page=1&limit=20 (default 20, max 100)

Relations & Joins

Configure table relationships
Join queries for related data retrieval

Index Management

Single/compound index creation
Manage via MCP backend_index_manage
Essential for query performance optimization

Official Documentation (Live Reference)

For the latest database documentation, use WebFetch:

MCP Data Tools: https://raw.githubusercontent.com/popup-studio-ai/bkend-docs/main/en/mcp/05-data-tools.md
MCP Table Tools: https://raw.githubusercontent.com/popup-studio-ai/bkend-docs/main/en/mcp/04-table-tools.md
Database Guide: https://raw.githubusercontent.com/popup-studio-ai/bkend-docs/main/en/database/01-overview.md
Full TOC: https://raw.githubusercontent.com/popup-studio-ai/bkend-docs/main/SUMMARY.md

Frequently asked questions

What does the Bkend Data AI skill do?

bkend.ai database — CRUD, column types, filtering, sorting, relations, indexing. Triggers: bkend table, bkend CRUD, bkend column, bkend relation, bkend data

Why use Bkend Data on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/bkend-data. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Bkend Data?

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 Bkend Data?

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

Is the Bkend Data AI skill free?

Yes. It is published on GitHub by ww-w-ai 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

bkend.ai Database Guide

Column Types (7)

Constraints

Auto System Fields

MCP Table Management Tools

MCP Data CRUD Tools

Filter Operators

MCP Guide Docs (via search_docs)

REST Data API

Filtering

Relations & Joins

Index Management

Official Documentation (Live Reference)

Frequently asked questions

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