Packs

5 packs

Project Verification Pipeline

For developers running comprehensive verification pipelines for Laravel or Quarkus projects before PRs or releases.

4 skills · pack

DotNet Test Migration to MTP

Migrate .NET test projects from VSTest to MTP, updating project files, CLI, and CI/CD pipelines.

3 skills · pack

FP-TS Backend Toolkit

For Node.js/Deno developers building type-safe backends with fp-ts, covering async pipelines and service composition.

3 skills · pack

AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.

5 skills · pack

Deploy Azure ML Pipeline

Manage Azure Machine Learning resources including workspaces, jobs, models, data, compute, and pipelines using the SDK v2 for Python.

3 skills · pack

Results for “pipelines”

74 skills

Out-of-core tabular analytics with Vaex for billion-row datasets that exceed RAM — lazy evaluation, fast aggregations, big-data visualization, and ML on a single machine. Use when working with large CSV/HDF5/Arrow/Parquet files, computing fast statistics on massive datasets, visualizing big data, or building ML pipelines that do not fit in memory. For distributed clusters prefer dask; for in-memory speed prefer polars. Part of the AlterLab Academic Skills suite.

theheavenlyd3mon

Design data systems by understanding storage engines, replication, partitioning, transactions, and consistency models. Use when the user mentions "database choice", "replication lag", "partitioning strategy", "consistency vs availability", "stream processing", "ACID transactions", "eventual consistency", or "LSM tree vs B-tree". Also trigger when choosing between SQL and NoSQL, designing data pipelines, or debugging distributed system consistency issues. Covers data models, batch/stream processing, and distributed consensus. For system design, see system-design. For resilience, see release-it.