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”
24 skills
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
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
neuralblitz big-data
Designs and implements big data architectures, processes large-scale datasets with distributed systems, and optimizes data pipelines for throughput using Hadoop, Spark, and cloud platforms.
1
antigravity jq
Query, filter, transform, and aggregate JSON data using jq in shell pipelines and scripts.
42.4k
More results
lingxling jq
Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and CLI integration.
253
phoroth jq
Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and CLI integration.
3
qhjqhj00 jq
Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and integration with CLI tools.
3 · bundle
alirezarezvani rag-architect
Design, tune, and evaluate production RAG pipelines with deterministic tools for chunking, pipeline design, and retrieval evaluation.
20.4k · bundle
lucaspmarie-a11y jq
Query, filter, and transform JSON with expert jq patterns, including aggregation, string formatting, and shell pipeline integration.
5
oyi77 analysis
Cleans datasets, detects anomalies, generates reports, and creates visualizations using pandas, scikit-learn, and plotting libraries to turn raw data into client-ready deliverables.
10
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
leandrobenjaminl data-design
Define el enfoque, las herramientas y el pipeline de análisis antes de escribir código, eligiendo entre SQL, Python o un enfoque híbrido según la pregunta y los datos.
0
leandrobenjaminl data-cleaning
Limpia datasets crudos eliminando nulos, duplicados, outliers e inconsistencias de tipos, con estrategias de imputación y pipelines reproducibles.
0 · bundle
jeffallan spark-engineer
Write, optimize, and debug Apache Spark jobs for high-performance distributed data processing, ETL pipelines, and big data workloads.
10.4k · bundle
antigravity polars
Provides a fast in-memory DataFrame library for datasets that fit in RAM, with lazy evaluation, parallel execution, and an Apache Arrow backend for ETL pipelines and analytics.
42.4k
mukul975 implementing-cloud-dlp-for-data-protection
Discover, classify, and protect sensitive data across cloud storage, databases, and data pipelines using Amazon Macie, Azure Information Protection, and Google Cloud DLP API.
24.6k · bundle
k-dense-ai flowio
Parse FCS (Flow Cytometry Standard) files v2.0-3.1, extract events as NumPy arrays, read metadata and channels, and convert to CSV or DataFrame for flow cytometry data preprocessing.
30.2k · bundle
github datanalysis-credit-risk
Cleans credit risk data and screens variables for pre-loan modeling through an 11-step pipeline covering missing rate calculation, IV/PSI filtering, null importance denoising, and correlation removal.
36.2k · bundle
k-dense-ai histolab
Process whole slide images for digital pathology: detect tissue, extract tiles, and prepare datasets for deep learning pipelines.
30.2k · bundle
jeffallan rag-architect
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality.
10.4k · bundle
k-dense-ai matchms
Process and analyze mass spectrometry data: import spectra from MGF, mzML, MSP, and JSON formats; apply 40+ filters for metadata harmonization and peak cleaning; compute spectral similarities (cosine, modified cosine) for compound identification; build reproducible processing pipelines.
30.2k · 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