Best data cleaning skills, page 6

데이터 품질 차원(정확성, 완전성, 적시성, 일관성 등)별 검증 규칙 설계와 Great Expectations, dbt tests 등의 도구 활용 가이드.

revfactory/harness-100

React data-fetching patterns at scale — recommender carousels, infinite feeds, pages with many parallel fetches, dashboards.

pproenca/dot-skills

A skill your agent uses when technical debt needs linked code or operational evidence, deduplication, first-seen provenance, or impact, effort, confidence, and cost-of-delay prioritization.

davekilleen/Dex

Local meta-capi documentation reference (latest). An agent skill from olorehq/olore.

olorehq/olore

Plan and execute database migrations, data transformations, and system migrations safely with rollback strategies and data integrity validation.

Microck/ordinary-claude-skills

Expert-level Data Labeler specializing in multi-modal annotation (text, image, audio, video), quality control workflows, annotation tool operation (Label Studio, CVAT, Scale AI), NER/…

theneoai/awesome-skills

Finds out why a data quality check failed or errored, looks at the rows it matched, and recommends the fix.

PostHog/posthog-foss

Model calibration and data reconciliation workflow for NeqSim digital twins.

equinor/neqsim

Meta Conversions API (CAPI) Setup Reference — architecture, event types, customer information hashing, deduplication, implementation examples, AEM, and testing

cognyai/claude-code-marketing-skills

Organizational AI readiness assessment evaluating data quality, team capabilities, infrastructure, governance, and use case prioritization to produce an actionable readiness scorecard.

FerroxLabs/wayland

Quick techniques for cleaning CSV files - deduplication, normalization, encoding fixes, merging, and common data quality repairs using command-line tools and scripting.

FerroxLabs/wayland

Combining investigative journalism with data analysis, including FOI requests, dataset acquisition, statistical analysis, visualization, and compelling data-driven storytelling.

FerroxLabs/wayland

Data quality engineering covering Great Expectations suite design, data contracts between teams, schema validation at ingestion, statistical anomaly detection, automated data profiling, quality…

FerroxLabs/wayland

Data cleaning automation expertise covering missing value strategies, outlier detection methods, duplicate detection and deduplication, data type correction, text normalization, date parsing across…

FerroxLabs/wayland

Data validation and quality expertise covering Great Expectations patterns, schema validation, statistical validation, referential integrity checks, data profiling, anomaly detection, data…

FerroxLabs/wayland

Expert ETL pipeline design covering extract patterns (CDC, full load, incremental), transform strategies (SCD types, data cleansing), load patterns (upsert, merge), error handling, data quality…

FerroxLabs/wayland

Reshape, query, validate, and transform JSON data using jq, JavaScript, and Python - with ready-to-use recipes for common data transformation tasks.

FerroxLabs/wayland