databricks/databricks-agent-skills

Databricks AI Tools: skills and plugins for building on Databricks with Claude Code, Cursor, Codex, GitHub Copilot, and other AI coding agents.

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databricks/databricks-agent-skills has 350+ stars and 90+ forks on GitHub, is written in Python, and was last pushed on Oct 18, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 10 minutes ago
Added to GitGenius on October 12th, 2026
Created on January 14th, 2026
Open Issues & Pull Requests: 39 (+0)
GitHub issues: Enabled
Number of forks: 92
Total Stargazers: 352 (+0)
Total Subscribers: 8 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.5 hours
Mean response time: 15.0 days
90th percentile: 51.8 days
Tracked items: 16

Maintainer activity

2 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 97% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 17% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 34
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 69 days
Stale 30+ days: 30
Stale 90+ days: 4

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 1
Events in 7 days: 1

Top labels

  • bug (1)
  • enhancement (1)

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Detailed Description

Databricks Agent Skills is a collection of skills and plugins that enable AI coding agents to build on the Databricks platform.

The project addresses the challenge of integrating Databricks capabilities into AI-assisted development workflows. It provides skills and plugins that allow coding agents like Claude Code, Cursor, Codex, and GitHub Copilot to interact with Databricks resources and services. By packaging Databricks functionality as agent-consumable skills, the tool bridges the gap between AI coding assistants and the Databricks data and analytics platform, enabling developers to leverage both technologies together without manual context switching or custom integration work.

Developers should adopt this tool if they use AI coding agents as part of their development process and need those agents to access Databricks capabilities. It suits teams building data applications, analytics pipelines, or machine learning workflows who want their AI assistants to have native understanding of Databricks APIs and patterns. The project is specifically designed for integration with popular AI coding agents, making it most valuable for developers already relying on these tools for code generation and assistance.

The project maintains active development with regular updates to its codebase and documentation. The repository shows consistent engagement with issues and pull requests, indicating ongoing maintenance and responsiveness to user needs. Development activity reflects a focus on expanding agent compatibility and refining the skill implementations to work reliably across different AI coding platforms.