Packs

2 packs

Build RAG Pipeline with Pinecone

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

6 skills · pack

Redpanda Data Skills

Agent Skills for Redpanda's five products — Streaming (Kafka-compatible engine), SQL (Oxla), Connect (incl. CDC connectors), Cloud (Serverless, BYOC, Dedicated), and the Agentic Data Plane — plus the rpk CLI. Grounded in Redpanda source, docs, and APIs.

32 skills · pack

Results for “product-data”

12 skills

dataverse-python-production-code

Generate production-ready Python code using the Dataverse SDK with error handling, retry logic, OData optimization, and logging.

product-page-seo

Audit AEM Edge Delivery Services commerce product pages for search engine crawlability and indexing, then remediate issues with meta tags, structured data, canonical URLs, and image optimization.

dataverse-python-usecase-builder

Generate production-ready Dataverse SDK solutions with architecture recommendations, data models, and implementation code for common business use cases.

arize-prompt-optimization

Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations from Arize AI.

36.2k · bundle

faceless-explainer

Turn any text into a faceless explainer video with typography, abstract graphics, diagrams, and data visualization.

More results

dataverse-python-advanced-patterns

Generate production-ready Python code for Dataverse SDK with advanced patterns including error handling, batch operations, OData optimization, and Pandas integration.

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

data-manager-api-audience-ingestion

Uploads audience members to Google products like Customer Match and mobile device ID audiences using the Data Manager API.

Build and run evaluators for AI/LLM applications using Phoenix, covering error analysis, custom evaluators, experiments, and production monitoring.

36.2k · bundle

dotnet-trace-collect

Guides developers through capturing diagnostic artifacts to diagnose production .NET performance issues, including tool selection and data collection across Windows, Linux, containers, and Kubernetes.

qdrant-deployment-options

Guides selection of Qdrant deployment options: local mode, Docker, self-hosted, Qdrant Cloud, Hybrid Cloud, or Qdrant EDGE based on latency, control, and production needs.

Generates a structured HTML prep file for the next working day by pulling calendar data via WorkIQ, classifying meetings, detecting conflicts, finding learning and deep-work slots, and providing productivity recommendations.