Arize Evaluator
GitHubOfficial
Manage LLM-as-judge evaluation workflows on Arize for projects and experiments.
Trusted skills for AI agents from official vendors and established maintainers. Every skill is attributed to its author, scanned, and comes with install steps for your AI tool.
706 skills
GitHubOfficial
Manage LLM-as-judge evaluation workflows on Arize for projects and experiments.
GitHubOfficial
Optimize and debug LLM prompts using production trace data, evaluations, and the ax CLI.
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A decision guide for selecting the appropriate Qdrant deployment strategy based on project requirements.
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A guide to Qdrant client SDKs and API resources for vector database integration.
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An interactive verification agent that audits AI-generated content through claim extraction, source verification, and adversarial review.
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A persistent, compounding knowledge base that combines an LLM-maintained wiki with a structured knowledge graph for evidence-backed retrieval.
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A data engineering skill that safely shuffles repetitive JSON objects while enforcing schema consistency and validation.
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An assistant for building, optimizing, and documenting Power BI semantic models using best practices.
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Expert guidance for writing performant, readable, and maintainable DAX formulas in Power BI following Microsoft best practices.
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Diagnose and resolve performance bottlenecks in Qdrant vector database indexing and data ingestion.
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A diagnostic framework for identifying and resolving search quality issues within Qdrant vector databases.
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A diagnostic guide for identifying and resolving search relevance issues in Qdrant vector databases.
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A workflow for reconciling SQL Server tables across instances using Apache Arrow.
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A comprehensive guide for instrumenting LLM applications with OpenInference tracing for Phoenix AI observability.
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A structured workflow for migrating Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL.
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Expert guidance for optimizing Power BI models, reports, and DAX queries using official Microsoft best practices.
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Best practices for scaling multi-tenant architectures in Qdrant based on tenant volume and isolation requirements.
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Manage, run, and analyze model performance experiments using the Arize ax CLI.
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A navigation hub for optimizing Qdrant vector database performance, covering search speed, indexing, and memory management.
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A guide to diagnosing and optimizing memory consumption in Qdrant vector database deployments.
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Best practices for implementing sliding time window data retention and rotation strategies in Qdrant.
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A structured pipeline for cleaning and screening credit risk data prior to predictive modeling.
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A structured expert system for designing Azure Cosmos DB NoSQL data models through requirement gathering and pattern-based modeling.
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An expert PostgreSQL Database Administrator agent for managing, querying, and optimizing database systems.