Adbc logo

Adbc

Organization
Kilo-Org
adbc

Connect to and work with databases using Arrow Database Connectivity (ADBC). Use whenever the user needs to use a database.

Overview

PublisherKilo-Org
Repositorykilo-marketplace
Skill nameadbc
Stars
179
Forks
168
Bundled files
14
LicenseApache-2.0
Links
  • 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.

  • 14 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Kilo-Org on GitHub. Read the source before you install it.

Installation

Install the Adbc AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/Kilo-Org/kilo-marketplace.git /tmp/kilo-marketplace
mkdir -p .claude/skills
cp -r /tmp/kilo-marketplace/skills/adbc .claude/skills/adbc
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Adbc 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 Adbc 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 Adbc 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.

Find a driver for a database

Use the dbc command line tool to find available drivers for a database. It's possible no driver may exist for the user's database of choice as not all databases have ADBC drivers.

Install dbc

If the user does not have dbc available, try to install it for them.

Prefer installing it with these commands, in order of preference, if the tool is available:

  • If uv is available: uv tool install dbc
  • If pipx is available: pipx install dbc
  • If brew is available: brew install columnar-tech/tap/dbc
  • On Windows, if winget is available: winget install dbc
  • Otherwise, direct the user to the installation docs: https://docs.columnar.tech/dbc/getting_started/installation/

Search for a driver

sh
dbc search

Install a driver

Install a driver by running dbc install <DRIVER>. This is idempotent — if the driver is already installed, it is a no-op that simply reports the existing installation — so there is no need to check first before running it. Prefer to install drivers using dbc over installing driver packages from PyPI or Conda Forge.

For anything beyond a one-shot dbc install <DRIVER> — reproducible dbc.toml / dbc sync workflows, version pinning, or any other dbc subcommand — invoke the dbc skill rather than guessing at commands. In particular, note that there is no dbc list command.

Referring to drivers

Refer to drivers by their dbc short name and avoid specifying drivers with absolute paths.

Example: After running dbc install sqlite, refer to that driver as sqlite. For example:

python
from adbc_driver_manager import dbapi
dbapi.connect(driver="sqlite", db_kwargs={"uri": "foo.db"})

Don't use dbc info to find where drivers are installed and find their absolute paths on disk.

Programming Language

See the resources below depending on which language or languages the user wants to use:

  • C++: resources/languages/cpp.md
  • Go: resources/languages/go.md
  • JavaScript: resources/languages/javascript.md
  • Python: resources/languages/python.md
  • R: resources/languages/r.md
  • Rust: resources/languages/rust.md

Prefer any language the user has already said they're using or can use. Each of these examples use the "sqlite" driver, connect to an in-memory database, and load a "penguins.parquet" file. This is done just for explanatory purposes and the code should be adapted to the user's problem.

Using a Driver

See the resources below depending on which database the user wants to use:

  • DuckDB: resources/drivers/duckdb.md
  • FlightSQL: resources/drivers/flightsql.md
  • MySQL: resources/drivers/mysql.md
  • PostgreSQL: resources/drivers/postgresql.md
  • Snowflake: resources/drivers/snowflake.md
  • SQLite: resources/drivers/sqlite.md

Connection Profiles

Connection profiles are TOML files that store a driver name and connection options, referenced by a profile://profile_name URI. They decouple credentials and environment-specific config from application code.

Suggest connection profiles when the user:

  • Has multiple environments (dev/staging/prod) to switch between
  • Wants to keep credentials out of source code
  • Wants a shared, reusable connection config

All language bindings that wrap the C++ or Rust driver manager support connection profiles, including Python, Go, R, Java, GLib/Ruby, C++, and Rust. JavaScript (@apache-arrow/adbc-driver-manager) also supports connection profiles via the profileSearchPaths option.

See resources/connection-profiles.md for the TOML format, file locations, and environment variable substitution syntax. See the relevant language resource for the binding-specific API.

More Resources

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 Adbc AI skill do?

Connect to and work with databases using Arrow Database Connectivity (ADBC). Use whenever the user needs to use a database.

Why use Adbc on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/adbc. 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 Adbc?

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 Adbc?

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

Is the Adbc AI skill free?

Yes. It is published on GitHub by Kilo-Org 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇