databricks-testing
Execute code on Databricks clusters using MCP Command Execution API. Supports stateless quick validation and stateful iterative development. Use when testing Python/SQL code on clusters, debugging pipelines, or...
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Execute code on Databricks clusters using MCP Command Execution API. Supports stateless quick validation and stateful iterative development. Use when testing Python/SQL code on clusters, debugging pipelines, or...
Package and deploy Databricks Asset Bundles with proper parameterization, multi-environment support, and serverless compute. Handles project structure, databricks.yml generation, validation, and deployment. Use...
Debug tool: Get raw local_grid from world_state
Debug tool: Transform coordinates between agent-relative and world-relative
Atomic pillar-up: jump and place block under self to ascend by 1 block. Handles timing internally.
Rust development capabilities including project analysis, Cargo management, and crate operations
End-to-end machine learning pipelines on Databricks including data exploration, feature engineering, model training with hyperparameter optimization, MLflow experiment tracking, model registration to Unity Cata...
Production data engineering pipelines following medallion architecture (Bronze/Silver/Gold layers) with data ingestion, transformation, quality checks, Delta Lake optimization, and orchestration. Use when build...
Generate a Product Requirements Prompt (PRP) from a feature description. Use when starting work on a new feature.
Guidelines and templates for creating effective Product Requirement Documents (PRD), bridging the gap between business goals and technical implementation.
Methodologies for System Analysis (SA), focusing on technical architecture, data flow modeling, and API design.
Update documentation based on lessons learned. Use after completing work to capture learnings and prevent future issues.
Provides spec writing guidelines with 6 core areas and boundary system. Use when writing SPEC.md, defining requirements, or creating project specifications.
Generate focused documentation for components, functions, APIs, and features
Add or change allowed commands in AI agent permission configs (OpenCode, Claude Code)
Create Claude Code slash commands and OpenCode command files that delegate to skills. Use when creating new commands or refactoring existing ones to follow the delegation pattern.
Create subagent definitions for Claude Code and OpenCode that delegate to skills. Use when creating new subagents or refactoring existing ones to follow the delegation pattern.
Implement sub-tasks iteratively with user approval between each one. Use when working through a task list with user collaboration.
Implement a single sub-task from a task list. Use when working on feature development with existing task lists.
Generate a detailed task list from a PRP. Use after a PRP is created and ready for implementation planning.
Spec-Driven Development (SDD): A structured workflow (Requirement -> Analysis -> Implementation) enforcing explicit documentation before coding.
Manage Open Build Service (OBS) projects. Use when working with OBS packages for home:aspiers.
Generate professional git commit message based on changes
Run linters according to repository guidelines. Use immediately after creating or modifying code, or before committing changes.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。