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databricks-okf — OKF Bundle for AI Agents
DraftDatabricks AWS documentation compiled into OKF (Open Knowledge Format) via llm-wiki-compiler. Validated as high-quality LLM context source — published as a test/reference example, few days after format release.
Best for
- AI agent development
What it does
- Databricks AWS documentation compiled into OKF (Open Knowledge Format) via llm-wiki-compiler.
- Validated as high-quality LLM context source — published as a test/reference example, few days after format release..
How to use with AI agents
Step 1: Clone the repository
git clone https://github.com/claudiobottari/databricks-okf
cd databricks-okfStep 2: Point your AI agent at the bundle directory
# Claude Code
claude /path/to/databricks-okf# Cursor
cursor /path/to/databricks-okf# OpenCode
opencode /path/to/databricks-okfFrequently Asked Questions
Is databricks-okf OKF conformant?
No, databricks-okf is currently marked as a draft bundle. It may not fully follow the OKF specification yet.
How do I install databricks-okf?
Clone the repository and point your AI agent at the bundle directory. The agent will automatically discover and load the OKF knowledge. No additional tools or SDKs are required.
What AI agents can use databricks-okf?
databricks-okf works with any AI agent that supports OKF bundles, including Claude Code, Cursor, OpenCode. Just point your agent at the bundle directory.