senior-data-engineer

World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.

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Dépôt: davila7/claude-code-templates
Dernière activité de la source: 20 décembre 2025 à 02:14
Langue détectée de SKILL.md: anglais
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Forks: 3 917

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npx skills add https://github.com/davila7/claude-code-templates --skill senior-data-engineer

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SKILL.md

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name	senior-data-engineer
description	World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.

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senior-frontend

You MUST use this whenever you build, change or review user interface code, including small UI tweaks and when the user is in a hurry: pages, components, forms, lists, tables, modals, navigation, layout or styling in React, Next.js, Vue, Svelte, Astro or plain HTML/CSS/Tailwind. Reuse the project's own components and tokens, design every state (loading, empty, error, long content), make it work with a keyboard and a screen reader and at phone width, then open it in a real browser and check it before saying it is done.

2026-11-11

render-deploy

Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform.

2026-11-08

technical-debt-auditor

Scans a codebase and produces a quantified technical debt report with a prioritized remediation plan. Analyzes dead code, TODO/FIXME/HACK markers, dependency staleness, complexity hotspots, code duplication signals, test coverage gaps, unused exports, and outdated patterns. Use this skill when the user asks to audit their codebase for tech debt, wants a health check of their code quality, says things like "where should I focus refactoring", "find code smells", "audit my codebase", "what technical debt do we have", "prioritize cleanup work", or asks about code quality metrics. Also trigger when the user mentions "code rot", "legacy cleanup", "refactoring priorities", or wants to understand the overall health of a project before a major effort. Trigger even if the user doesn't say "technical debt" explicitly — any request to systematically assess code quality and identify improvement priorities belongs here.

2026-11-08

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senior-data-engineer

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