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”
26 skillsdatabase
Guides database design, implementation, optimization, migrations, data pipelines, and operations across SQL and NoSQL platforms.
5
database
Guides database design, implementation, optimization, migrations, data pipelines, and operations for SQL, NoSQL, and modern data platforms.
42.4k
database
Guides database design, implementation, query optimization, migrations, data pipeline development, and operations across SQL and NoSQL platforms.
0
database
Guides database design, implementation, optimization, migration, pipeline development, and operations across SQL and NoSQL platforms.
2
database
Guides database design, implementation, optimization, migration, pipeline development, quality, and operations across SQL and NoSQL platforms.
0 · bundle
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
More results
jq
Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and CLI integration.
3
prefect-flows
Orchestrates Python data pipelines with Prefect flows, tasks, retries, caching, parallel execution, and deployments to work pools.
10
data-designer
Build synthetic datasets and data generation pipelines using the Data Designer library.
2.2k · bundle
nemo-data-designer-plugin
Build synthetic datasets and data generation pipelines using the Data Designer library.
2.2k · bundle
connect
Build streaming data pipelines with Redpanda Connect using declarative YAML configs, Bloblang mappings, and component discovery. Covers running, linting, and dry-running pipelines.
6 · bundle
etl-pipelines
Construye pipelines ETL/ELT con Pandas: extracción, transformación y carga de datos con logging, manejo de errores, idempotencia y opciones de orquestación.
0 · bundle
ml-pipeline
Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking, creates orchestration DAGs, builds feature store schemas, deploys model registries, and automates retraining and validation workflows.
10.4k · bundle
flow-bio
Authenticate, browse pipelines, samples, and projects, upload data, launch pipeline executions, and check run status on any Flow.bio instance via CLI.
17 · bundle
bigquery-pipeline-audit
Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness, returning a structured report with exact patch locations.
36.2k
database
Guides database design, implementation, optimization, migration, pipeline development, quality, and operations across SQL and NoSQL platforms.
3
shared-git-data
Sets up Git-based version control for data science projects, handling notebooks, datasets, and pipelines with DVC and nbstripout.
0
dbt-etl
Guides the setup and use of dbt for extract-transform-load workflows.
2 · bundle
spark-engineer
Write, optimize, and debug Apache Spark jobs for high-performance distributed data processing, ETL pipelines, and big data workloads.
10.4k · bundle
connect-debugging
Diagnoses and validates Redpanda Connect pipelines using linting, dry-run connection tests, logging, metrics, tracing, and health endpoints, including enterprise feature troubleshooting.
6 · bundle
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
book-sft-pipeline
Convert books into supervised fine-tuning datasets and train style-transfer models that replicate an author's voice.
16.9k · bundle
ray-data
Process large ML datasets in parallel across CPU or GPU clusters, with streaming execution, multi-format I/O, and integration with Ray Train, PyTorch, and TensorFlow for batch inference and preprocessing pipelines.
3 · bundle
latchbio-integration
Build and deploy bioinformatics workflows as serverless pipelines on the Latch platform using Python decorators, cloud data management, and GPU support.
30.2k · bundle
nextflow
Build, run, and debug Nextflow data pipelines and nf-core workflows end to end, covering processes, channels, operators, configuration, testing, and deployment to HPC or cloud.
30.2k · bundle
dnanexus-integration
Build and deploy apps/applets on the DNAnexus cloud genomics platform, manage data objects, run workflows, and use the dxpy Python SDK for genomics pipeline development and execution.
30.2k · bundle