Plugins
6 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
Build Feature with TDD Pipeline
Research, plan, implement with TDD, review, and commit a new feature.
5 skills · plugin
curated
Product Strategy Pipeline
From market analysis to north star metric, this pack builds a complete product strategy foundation.
4 skills · plugin
curated
Quarkus Release Pipeline
Install this pack to run build, static analysis, security scan, and diff review before a Quarkus release.
3 skills · plugin
curated
FP-TS Backend Toolkit
For Node.js/Deno developers building type-safe backends with fp-ts, covering async pipelines and service composition.
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 “build-pipeline”
11 skills
lingxling AI Ml
Orchestrates AI/ML workflows for building LLM applications, RAG systems, AI agents, and ML pipelines, covering design, integration, observability, and security.
253
jorcan AI Ml
Orchestrates AI/ML workflows for building LLM applications, RAG systems, AI agents, and ML pipelines, covering design, integration, observability, and security.
0 · bundle
phoroth AI Ml
Orchestrates AI/ML workflows for building LLM applications, RAG systems, AI agents, and ML pipelines, covering design, integration, observability, and security.
3
lucaspmarie-a11y AI Ml
Orchestrates AI/ML workflows for building LLM applications, RAG systems, AI agents, and ML pipelines, covering design, integration, observability, and security.
5
More results
affaan-m Pytorch Patterns
Provides idiomatic PyTorch patterns and best practices for building robust, efficient, and reproducible deep learning applications, covering model architecture, training loops, data pipelines, and checkpointing.
226k
nvidia Deepstream Profile Pipeline
Profile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement.
2.2k · bundle
jeffallan 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
neuralblitz Tensorflow
Build and deploy machine learning models with TensorFlow, covering Keras, data pipelines, and production serving.
1
oyi77 RAG Builder
Designs and implements RAG pipelines, covering document chunking, embedding strategies, hybrid search, answer synthesis with source attribution, and evaluation using RAGAS metrics.
10
k-dense-ai Pyhealth
Build clinical deep-learning pipelines with PyHealth: load EHR, signal, and imaging datasets, define prediction tasks, instantiate models, train with the PyHealth Trainer, and compute clinical metrics.
30.2k · bundle
nvidia Deepstream Import Vision Model
Import object detection models from HuggingFace or NVIDIA NGC into a DeepStream pipeline with automated ONNX download, TensorRT engine build, custom parser, multi-stream benchmark, and PDF report generation.
2.2k · bundle