databricks-unity-catalog
Manage Unity Catalog resources including catalogs, schemas, and tables. Handles discovery, creation, updates, and deletions with proper naming conventions and governance. Use when exploring catalogs, creating s...
Discover DevOps skills, compare source repositories and read the instructions for each workflow.
Manage Unity Catalog resources including catalogs, schemas, and tables. Handles discovery, creation, updates, and deletions with proper naming conventions and governance. Use when exploring catalogs, creating s...
Customer workspace initialization skill (Japanese UI). Provides inbox (information accumulation), meeting minutes management, and auto-classification rules. Use for "setup customer workspace" or "add inbox feat...
Refactor overly large code units into smaller, more focused components. Use when code has grown too large or complex.
Use when designing or architecting Elixir/Phoenix/LiveView applications, creating comprehensive project documentation, planning OTP supervision trees, defining domain models, structuring multi-app projects with...
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...
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...
Guidelines and templates for creating effective Product Requirement Documents (PRD), bridging the gap between business goals and technical implementation.
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.
Multi-specialist collaborative work review using independent subagents for comprehensive analysis
Code Kanban 本地任务管理系统。支持项目、任务、Worktree 的完整 CRUD 操作。私有数据不暴露到公开 GitHub。
Code Kanban 任务批量编排器。读取本地 Kanban 的 todo 任务,分析优先级和依赖关系,生成执行计划,然后并行执行。用于自动化处理大量待办任务,数据不暴露到公开 GitHub。
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...
Create new AI agent skills for this project. Use when asked to create a skill, add a skill, or document a new module for AI context.
Meta-skill that analyzes the Trail of Bits Testing Handbook (appsec.guide) and generates Claude Code skills for security testing tools and techniques. Use when creating new skills based on handbook content.
Use multiple Claude agents to investigate and fix independent problems concurrently
Skills wiki intro - mandatory workflows, search tool, brainstorming triggers
Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.
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.