data-pipeline-builder

Find out why your AWS bill grew: costs by service, idle EC2, EBS and Elastic IPs, plus failing Kubernetes pods explained from logs. Read-only, uses your aws and kubectl CLI.

1 skill · 3 commands

Find WCAG 2.2 accessibility problems in HTML, React, Vue, Svelte and Astro: missing alt text and labels, keyboard traps, focus issues and color contrast, then fix them.

1 skill · 2 commands

Write OpenAPI 3.1 docs from the real routes in Express, NestJS, Next.js, FastAPI, Flask, Spring and Go code, and check in CI that the docs still match the code.

1 skill · 2 commands

Load test your own API with a safe built-in runner or a generated k6 script: ramp-up, p50/p95/p99 latency, error rates and where it starts to saturate.

1 skill · 2 commands

Speed up and secure GitHub Actions and GitLab CI: find missing caches, wasted runs, missing timeouts, unpinned actions and flaky tests, using your real run times.

1 skill · 2 commands

Measure cyclomatic complexity, long functions, large files and duplicated code in Python, JavaScript, TypeScript, Java, Go and more, and track tech debt over time.

1 skill · 2 commands

This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.

37 skills

ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development

4 skills · 2 commands · 2 agents

Snowflake SQL, data pipelines (Dynamic Tables, Streams+Tasks), Cortex AI functions, Snowpark Python, and dbt integration. Includes query helper script, reference guides, and troubleshooting.

1 skill

Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture

This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.

37 skills

Blazingly fast tabular data wrangling with 57 qsv skill-based commands for CSV, TSV, Excel, JSONL, and Parquet files

20 skills · 3 agents · hooks