Agent skills for Arize — datasets, experiments, and traces via the ax CLI
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Updated
Jun 9, 2026 - Python
Agent skills for Arize — datasets, experiments, and traces via the ax CLI
Root cause analysis for AI agents. Detects agent loops, retry storms, and optimization opportunities in LangSmith, Langfuse, Arize Phoenix, and OpenTelemetry traces.
Compile natural-language eval criteria into deterministic Python evaluators. No LLM judges.
A cybersecurity agent that prepares a triage report for IoC (indicator of Compromise) types including: Domain, URL, IP, Hash, CVE, and Packages. Cross-references multiple data sources during research. Built using LangGraph
A Gemini agent that reads its own observability data via Phoenix MCP to avoid repeating past failures. Built for the Arize hackathon track.
The audit layer for AI evaluation: a six-hat panel scores a submission against a rubric with evidence-grounded scores, then audits and self-corrects its own over-confident scores against a calibration prior — every step a traceable span in Arize AX. Gemini 3.1 Flash-Lite · Google ADK 2.0 · Arize AX. Trace it. Trust it.
AWS AI BUILDER HACKATHON LAB: CRAFT WITH AI AND BUILD WITH AI - (Virtual Pet Store)
AI-powered student developer assistant with white-box reasoning, built with Gemini 2.5 Flash and Arize observability
An intelligent virtual receptionist for Camping La Rosaleda, built with Google ADK (Agent Development Kit) and Vertex AI RAG Engine.
AI security case-file pipeline for Phoenix traces, Gemini analysis, and Cloud Run demos.
Self-improving Gemini agent that separates real hiring pain from ghost-risk signals - reads its own Arize Phoenix traces via MCP and corrects itself. Google Cloud Rapid Agent Hackathon, Arize track.
Gemini-powered Green Coding Coach — reads real Arize Phoenix traces via MCP to detect AI token waste.
Phoenix-compatible exporter: ragdrift's five drift scalars as OpenTelemetry span attributes for Arize alerting.
Observable human-supervised incident agent with Gemini, Google Cloud Agent Builder, and Arize Phoenix MCP
Rootin4 — Gemini agent that predicts who plays at the seat you bought for World Cup 2026. Built on Google ADK + Arize Phoenix MCP for the Google Cloud Rapid Agent Hackathon.
An AI-powered video game assistant built with Google Agent Development Kit (ADK) and Gemini 2.5 Flash. Features a multi-agent architecture with specialized sub-agents for YouTube video search, web search, and URL verification.
Multi-step research agent instrumented with Arize AX. Built for the Arize PM take-home.
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