Packs
2 packscurated
Automated E2E Test Generation
Installs a pipeline to explore a website, generate a Playwright test, and run it until passing.
10 skills · pack
@fradser
Storm
Wikipedia-style long-form article generation via multi-perspective question asking and retrieval — a Claude-native port of Stanford STORM's two-stage research-to-article pipeline
6 skills · pack
Results for “pipeline-generation”
11 skills
nvidia data-designer
Build synthetic datasets and data generation pipelines using the Data Designer library.
2.2k · bundle
nvidia nemo-data-designer-plugin
Build synthetic datasets and data generation pipelines using the Data Designer library.
2.2k · bundle
majiayu000 rag
Builds Retrieval-Augmented Generation systems with document chunking, embedding generation, vector storage, and retrieval pipelines, including evaluation and optimization.
567 · bundle
More results
github pinecone-rag
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.
36.2k
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
tradermonty edge-pipeline-orchestrator
Coordinate multi-stage edge research pipelines from candidate detection through strategy design, review, revision, and export.
2.3k · bundle
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
tradermonty skill-idea-miner
Extract, score, and backlog skill idea candidates from Claude Code session logs for a weekly skill generation pipeline.
2.3k · bundle
redpanda-data 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
nvidia rag-eval
Evaluates RAG pipelines using a filesystem-based benchmark with corpus/ and train.json, running evaluate_rag.py to tune retrieval and generation flags and interpret RAGAS metrics.
2.2k · bundle
k-dense-ai transformers
Load pre-trained models from Hugging Face Hub, run pipeline inference, generate text, and fine-tune models on NLP, vision, audio, and multimodal tasks using the Transformers library.
30.2k · bundle