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Search Data Quality , found 7 results

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CodeQL Security Scan

trailofbits/skills

Automates CodeQL database builds, suite selection, and taint-aware scans to surface security and quality issues across supported languages, handling output directories, SARIF results, and extensions in one workflow.

Customer.io Pitfall Checklist

customerio-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

Identifies Customer.io anti-patterns across authentication, tracking, data quality, delivery, and performance so you can audit integrations, fix common mistakes, and optimize implementations with actionable checks.

Data Engineering Patterns

data-engineering

rohitg00/awesome-claude-code-toolkit

Guides data engineering patterns for ETL pipelines, Spark analytics, and quality checks, showcasing Python and SQL snippets to extract, transform, load, validate, and model sales data in modern warehouses.

Senior Data Engineering Guide

senior-data-engineer

alirezarezvani/claude-skills

Guides building scalable data pipelines, ETL/ELT workflows, and modern data infrastructure with Python, SQL, Spark, Airflow, dbt, Kafka, and allied tools, covering architecture decisions, modeling, quality, monitoring, and performance optimization.

AI Test Automation Mastery

sickn33/antigravity-awesome-skills

Expert AI-powered test automation guidance covering modern frameworks, self-healing suites, CI/CD integration, performance and data strategies for scalable quality engineering.

SOC Metrics KPI Tracking

building-soc-metrics-and-kpi-tracking

mukul975/Anthropic-Cybersecurity-Skills

Builds SOC performance dashboards that track MTTD, MTTR, alert quality, analyst productivity, and ATT&CK coverage from SIEM data to give leadership operational visibility, continuous improvement insights, and executive reporting on effectiveness.

Paper Figure Generation

wanshuiyin/Auto-claude-code-research-in-sleep

Auto-generates publication-quality plots and comparison tables from experiment data, following a shared matplotlib style, respecting figure plans, and preserving manual assets for ML papers.

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