Agent skills for Devin Desktop

Route broad Data Analytics requests to the appropriate quantitative analysis, visualization, dashboard, report, notebook, KPI…

Use this DeepCTR sub-skill for SparseFeat, DenseFeat,

Data architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema…

Process large datasets efficiently using chunk(), chunkById(), lazy(), and cursor() to reduce memory consumption and improve performance

Clean a CSV/TSV/Excel file - fix headers, trim whitespace, remove duplicates, validate

Produce documented data cleaning scripts that log every transformation with N before/after each step, generate a CONSORT-style exclusion…

Use to build Molecular Cell's data and code deposition plan and the Data and Code Availability statement inside STAR Methods Resource…

Use to build PNAS's Data Availability Statement and deposition plan — mandatory deposition of data in an approved repository at…

Use to build PNAS Nexus's Data and Code Availability — mandatory public-repository deposition of all materials, data, code, and protocols…

Use to build Science's data, code, and materials availability — mandatory deposition in approved repositories, accession numbers, a…

Define or review a data contract between a producer and consumers.

Design and verify data contracts, schema changes, migrations, rollbacks, backfills, compatibility windows, tenant isolation, and…

Prepare a replication package for the sewage-house-prices project.

Automate update and maintenance of data dictionaries in Treasure Data - generates 80-90% of column descriptions automatically, allowing…

Build scalable data pipelines, modern data warehouses, and real-time streaming architectures.

Evaluation criteria and scoring for data engineering artifact reviews

Data Engineering and Analytics, in 27 concepts.

Common patterns for extracting analytics data from GA4 and GSC with API handling

Generates a Mermaid sequence diagram showing how data moves between components.

Quick data freshness check. Use when the user asks if data is up to date, when a table was last updated, if data is stale, or needs to…

Establish data ownership, quality standards, compliance policies, and metadata management.