Plugins
3 pluginscurated
Build RAG Pipeline with Pinecone
Build a production RAG pipeline and persistent agent memory using Pinecone as the vector database backend.
6 skills · plugin
curated
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 · plugin
@alirezarezvani
Engineering
37 advanced engineering skills: agent designer, agent workflow designer, RAG architect, database designer + schema designer + SQL assistant, migration architect, observability designer, dependency auditor, changelog generator (with semantic version bumper and hotfix/rollback procedures), API design reviewer, API test suite builder, CI/CD pipeline builder, MCP server builder, skill security auditor
33 skills · plugin
Results for “data-pipeline”
8 skills
lucaspmarie-a11y database
Guides database design, implementation, optimization, migrations, data pipelines, and operations across SQL and NoSQL platforms.
5
antigravity database
Guides database design, implementation, optimization, migrations, data pipelines, and operations for SQL, NoSQL, and modern data platforms.
42.4k
iamanacarolinarezende database
Guides database design, implementation, query optimization, migrations, data pipeline development, and operations across SQL and NoSQL platforms.
0
More results
nimoqup046-collab database
Guides database design, implementation, optimization, migration, pipeline development, and operations across SQL and NoSQL platforms.
2
jorcan database
Guides database design, implementation, optimization, migration, pipeline development, quality, and operations across SQL and NoSQL platforms.
0 · bundle
phoroth database
Guides database design, implementation, optimization, migration, pipeline development, quality, and operations across SQL and NoSQL platforms.
3
schattenspiegel duckdb-polars-boundaries
Guides the choice between DuckDB and Polars for each stage of an analytical pipeline, covering Arrow transfer, lazy versus eager execution, registration lifetime, schema conversion, and result ownership.
0 · bundle
k-dense-ai pyopenms
Analyze proteomics and metabolomics mass spectrometry data with PyOpenMS: read/write MS file formats, process spectra, detect and quantify features, identify peptides and proteins, and run end-to-end LC-MS/MS pipelines using ready-to-run scripts.
30.2k · bundle