Découvrez les skills Bases de données, comparez leurs dépôts et consultez leurs instructions.
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...
Debug tool: Query specific cell in observed voxel grid
Guidelines and techniques for identifying code smells and refactoring code, based on Refactoring.guru principles and adapted for Vanilla JS Chrome Extensions.
Manages parallel Claude instances via tmux for multi-worktree development. Use when spawning workers, checking status, collecting results, or coordinating parallel tasks.
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...
Deploy and scale full-stack applications globally on Fly.io platform
Remove code duplication by extracting shared logic into reusable components. Use when the same logic appears in multiple places.
Pipe long running commands through tee(1) to allow watching output and repeated analyses without rerunning
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
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.