How to Analyze Reviews and Customer Feedback Using AI

AI驱动的综合健康分析系统，整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。

Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI

Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers

Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediat

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt

Analyze a repository to generate recommended Claude Code settings.json permissions. Use when setting

Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or con

Read and analyze Hugging Face paper pages or arXiv papers with markdown and papers API metadata.

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human fe

Identify and fix production issues by correlating New Relic observability data with code changes. An

Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synt

Expert patterns for Segment Customer Data Platform including Analytics.js, server-side tracking, tra

Structured guide for setting up A/B tests with mandatory gates for hypothesis, m...

Run the AgentRC readiness assessment on the current repository and produce a sta...

Help the user pick, write, or apply an AgentRC policy. Policies customise readin...

Expert agent for creating comprehensive Architectural Decision Records (ADRs) wi...

This skill should be used when the user asks to "implement LLM-as-judge", "compa...

A hybrid memory system that provides persistent, searchable knowledge management...