Packs

2 packs

Automated E2E Test Generation

Installs a pipeline to explore a website, generate a Playwright test, and run it until passing.

10 skills · pack

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”

9 skills

Build synthetic datasets and data generation pipelines using the Data Designer library.

nemo-data-designer-plugin

Build synthetic datasets and data generation pipelines using the Data Designer library.

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.

More results

deepstream-generate-pipeline

Builds and validates DeepStream GStreamer pipelines through an interactive questionnaire and a BM25 retrieval engine over 270+ verified pipelines.

Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.

code-testing-agent

Generates and writes unit tests for any programming language using a multi-agent pipeline that researches, plans, and implements tests with build and verification steps.

deepstream-profile-pipeline

Profile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement.

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.

Runs a three-layer verification pipeline on AI-generated output: extracts verifiable claims, finds supporting or contradicting sources via web search, and produces a structured verification report with source links for human review.

36.2k · bundle