Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
Optimizing dbt and Snowflake performance through materialization choices, clustering keys, warehouse sizing, and query optimization. Use this skill when addressing slow model builds, optimizing query performanc...
dbt project structure using medallion architecture (bronze/silver/gold layers). Use this skill when planning project organization, establishing folder structure, defining naming conventions, implementing layer-...
Install and initialize task-master for AI-powered task management and specification-driven development. Use this skill when users ask you to parse a new PRD, when starting a new project that needs structured ta...
Choosing and implementing dbt materializations (ephemeral, view, table, incremental, snapshots, Python models). Use this skill when deciding on materialization strategy, implementing incremental models, setting...
Monitor dbt execution using the dbt Artifacts package. Use this skill when you need to track test and model execution history, analyze run patterns over time, monitor data quality metrics, or enable programmati...
Ultra-fast data discovery and loading skill for industrial finance datasets. Handles CSV, JSON, DuckDB, Parquet, and Feather with memory-efficient 2-step discovery and loading.
Diagram-first explanations using ASCII visualizations (sequence diagrams, flowcharts, component maps) to explain code, systems, request/response flows, pipelines, concurrency, and comparisons. Use when the user...
Lightweight code review for diffs/PRs focusing on high-signal simplifications, code smells, security, performance, and whether new tests are needed; focus on recently modified code unless instructed otherwise.
Analyze the impact scope of code changes using static dependency analysis
Analyze git history for hotspots, coupling, and knowledge distribution. Use when user asks "who knows this code", "what files change most", "hotspots", "bus factor", "knowledge silos", or needs to understand co...
Get project overview - scan
Extract business logic flow from code, trace execution path from entry point
Trace code execution paths and data flow. Use when user asks "how does X work", "what happens when X", "trace the flow of X", "where does data come from", or needs to understand feature implementation.
Analyze dependency usage for library/framework/SDK upgrades
Find implementation examples and design patterns in the codebase. Use when user asks "how to implement X", "how does this project do X", "show me examples of X", "where is X implemented", or needs to follow exi...
Smart temporal analysis using git history - Hotspots, Coupling, and Recent Contributors
Quickly understand a new codebase's architecture, tech stack, and patterns. Use when user asks "what is this project", "project overview", "how is this codebase structured", "what tech stack", or when onboardin...
Learn design patterns from the current codebase
Analyze what code will be affected by changes. Use when user asks "what will break if I change X", "impact of changing X", "dependencies of X", "is it safe to modify X", or before making significant code change...
Analyze dependencies for upgrade planning and migration. Use when user asks "upgrade to X", "migrate from X to Y", "what breaks if we upgrade", "iOS 17 migration", "React 18 upgrade", or planning framework/SDK...
List saved SourceAtlas analysis results
Clear saved SourceAtlas analysis results
Guide for using Playwright MCP tools for visual and functional regression testing. Use when testing features, validating UI, or running regression checks.
Guide for running and validating quality gates (build, lint, test, coverage, regression). Use when validating code, running tests, or checking if a phase can proceed.
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.