Agent skills for VS Code

Task management CLI for tracking and managing feature subtasks with status, dependencies, and validation

Optimizes and refines Claude Code skills autonomously using a multi-dimensional rubric, paired judge evaluations, and git-backed…

Skill to generate executive dashboards from Azure DevOps data.

Create a new screen in the Multi-site Dashboard with automatic route registration

Create HTML dashboards with KPI metric cards, bar/pie/line charts, progress indicators, and data visualizations.

DDOS v1.1 preview pipeline. Generates a single-file HTML dashboard mockup with static mock data, simulated filters, theme-driven visual…

Data analysis across SQL, visualization, statistics, and reporting.

Use this DeepCTR sub-skill for SparseFeat, DenseFeat,

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

Implement reliable data backup and recovery strategies with automated scheduling, encryption, rotation policies, and disaster recovery…

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

Review data integrity for Rails changes.

Join two datasets with automatic strategy selection (joinp vs join vs sqlp)

Write a Data Management and Sharing Plan (NIH DMSP) or Data Management Plan (NSF DMP, DoD equivalents) — data types, standards…

Design field mapping specifications between source and destination systems for synchronizing insurance AMS and CRM data, LOS to reporting…

Database migration patterns: zero-downtime schema changes, data backfills, Alembic, Prisma Migrate, Rails migrations

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

Optional advanced tool for complex data modeling.

Design Power BI data model relationships and Power Query transformation specifications for combining insurance and financial services data…

Enforces rigorous safety protocols, multi-layer backups, and phased execution for high-risk production database operations.

ETL/ELT patterns, batch vs streaming, idempotency, data quality framework, and pipeline orchestration