Databricks AI development toolkit (for FE and customers) with skills for data engineering, ML, and AI agents plus MCP tools for direct Databricks operations
Plugin databricks-ai-dev-kit from marketplace fe-vibe in sarah-hord-db/vibe. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
databricks-python-sdkDatabricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.
python-devPython development guidance with code quality standards, error handling, testing practices, and environment management. Use when writing, reviewing, or modifying Python code (.py files) or Jupyter notebooks (.ipynb files).
skill-testTesting framework for evaluating Databricks skills. Use when building test cases for skills, running skill evaluations, comparing skill versions, or creating ground truth datasets with the Generate-Review-Promote (GRP) pipeline. Triggers include "test skill", "evaluate skill", "skill regression", "g
general-qualityGeneral response quality evaluation. Always applicable regardless of domain. Covers response structure, actionability, clarity, and hallucination detection. category: evaluation version: "1.0" applies_to: []
sql-correctnessSQL evaluation criteria for Databricks. Load when the trace contains execute_sql tool calls or SQL code in responses. Covers syntax validity, Unity Catalog patterns, and Databricks-specific SQL features. category: evaluation version: "1.0" applies_to: [sql]
tool-selectionEvaluates whether the agent selected appropriate MCP tools instead of shell workarounds. Load when the trace contains Bash tool calls that could have used MCP tools, or when evaluating tool call efficiency. category: evaluation version: "1.0" applies_to: []
bash ${CLAUDE_PLUGIN_ROOT}/.claude-plugin/setup.sh
bash ${CLAUDE_PLUGIN_ROOT}/.claude-plugin/check_update.sh
Common Field Engineering workflows for Aha! Ideas, sizing, documentation, security, support, troubleshooting, TODO management, account transitions, RFP responses, QBR decks, humanizer, SA daily/weekly planning, and showcases
33 skills · 12 agents
Complete Databricks workflow tools: authentication, queries, deployments, workspace setup, and demos
15 skills · 1 agent
Internal Databricks tools: Aha! Ideas and eng blocker search, GTM data queries, Genie Rooms, Confluence, Glean search, Slack messaging, and AWS authentication
12 skills · 1 agent
Google Docs, Sheets, Slides, Drive, Gmail, Calendar, Tasks, and Forms with professional formatting, charts, formulas, and hyperlinks
10 skills · 1 agent
Autonomous TDD pipeline for building features end-to-end. Chains PRD → gate tests → implementation → live validation → remediation in a self-correcting loop. Uses headless Claude sessions via the relentless CLI for multi-phase execution. Includes autoresearch for autonomous skill optimization.
9 skills
Setup, configuration, and validation for the vibe environment
7 skills · 1 agent
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
Build powerful, stateful CLI interfaces for any GUI application using the cli-anything harness methodology.
5 commands
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
Use Alibaba Open Code Review from local Codex.
2 skills
Claude Code skill for creating and presenting Slidev slidedecks
1 skill
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