databricks-ml-pipeline
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...
Discover Research skills, compare source repositories and read the instructions for each workflow.
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.
Run tests according to repository guidelines. Use after linting passes, before staging changes.
Review code for quality, security, and maintainability. Use after code changes are completed and ready for review.
Multi-specialist collaborative work review using independent subagents for comprehensive analysis
Use this skill for large project maintenance with layered CLAUDE.md index system. Triggers when users need to (1) analyze and document existing codebases, (2) generate hierarchical CLAUDE.md files for modules,...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Use this skill when entering a new or legacy project for the first time, to scan and localize global skills for project-specific conventions. Triggers on "onboard", "init skills", "localize skills", "project se...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.