Skill UI

Qdrant is a high-performance, Rust-powered vector database designed for production-grade RAG (Retrieval-Augmented Generation) and semantic search applications. It provides fast nearest neighbor search, supports complex hybrid search using metadata filtering, and offers horizontal scalability through sharding and replication. Ideal for building real-time recommendation systems and enterprise-level knowledge retrieval.

Expert in designing and implementing advanced Retrieval-Augmented Generation (RAG) pipelines. This role focuses on optimizing the entire information retrieval process—from document chunking and embedding model selection to vector database architectures and hybrid search strategies. The goal is to bridge the gap between raw knowledge documents and accurate LLM understanding, drastically reducing hallucination and enhancing context relevance for enterprise applications.

Guides teams through configuring Replit Enterprise SSO, role-based permissions, organization management, and deployment controls so admins can securely provision access and audit activity across workspaces.

Guide for configuring Retell AI enterprise SSO, role-based access control, scoped API keys, and organization-level phone/call management so teams can securely provision agents, assign numbers, and audit recordings with defined approvals and restrictions.

Provides auto-triggered guidance for creating enterprise risk assessments, covering workflows that span governance, compliance, project management, and integration best practices while validating outputs for production readiness.

Automates enterprise workflow roadmap generation by triggering whenever roadmap needs occur, guiding best practices, producing production-ready artifacts, and validating against governance and compliance standards.

Guides enterprise teams through Scala 3 functional programming, reactive Akka/Pekko systems, Spark pipelines, and type-safe tooling to deliver resilient distributed applications with observability, CI/CD, and JVM optimization.

Automates security benchmark runner workflows by triggering on relevant terminology, guiding pen testing/compliance tasks, generating production-ready configs, and validating outputs against industry standards within advanced enterprise security scenarios.

Helps product and program teams plan, assess, and steer enterprise software, SaaS, and digital transformation portfolios using quantitative risk analytics, resource optimization, health scoring, and executive-level reporting.

Guide SREs and security admins through configuring enterprise-grade role-based access control in Sentry, covering team setup, permissions, SSO/SAML integration, SCIM provisioning, and token hygiene to manage organizational access safely.

Guide for designing and rolling out enterprise-grade Sentry setups, covering project structuring, SDK configuration, error handling, tracing, and alert routing best practices.

Automates SLA monitor setup within enterprise workflows, delivering step-by-step guidance, best practices, code/config snippets, and validation to align monitoring, compliance, and integration standards.