分析

Axiom observability platform for logs, events, and analytics via REST API

Performance optimization and analytics tracking for the Next.js marketplace. Use when optimizing performance, setting up monitoring, or analyzing user behavior and conversion metrics.

Guide for implementing Google Gemini API image understanding - analyze images with captioning, classification, visual QA, object detection, segmentation, and multi-image comparison. Use when analyzing images, answering visual questions, detecting objects, or processing documents with vision.

UI/UX design intelligence for MUED. Plan, build, design, implement, review, improve UI/UX code. Styles: glassmorphism, minimalism, dark mode, responsive. Projects: landing page, dashboard, SaaS, mobile app.

Persistent state management using AgentDB (DuckDB) for workflow analytics and checkpoints.Provides read-only analytics cache synchronized from TODO_*.md files, enabling:- Complex dependency graph queries- Historical workflow metrics- Context checkpoint storage/recovery- State transition analysisUse when: Data gathering and analysis for workflow state trackingTriggers: "analyze workflow", "query state", "checkpoint", "workflow metrics"

Mixpanel funnel analysis, retention tracking, and insights with automatic rate limiting and result formatting. Activated when users mention "Mixpanel", "funnel analysis", "retention", or need product analytics data.

Coordinates data pipeline tasks (ETL, analytics, feature engineering). Use when implementing data ingestion, transformations, quality checks, or analytics. Applies data-quality-standard.md (95% minimum).

Guide for Next.js App Router dynamic routes and pathname parameters. Use when building pages that depend on URL segments (IDs, slugs, nested paths), accessing the `params` prop, or fetching resources by identifier. Helps avoid over-nesting by defaulting to the simplest route structure (e.g., `app/[id]` instead of `app/products/[id]` unless the URL calls for it).

dbt (data build tool) patterns for data transformation and analytics engineering. Use when building data models, implementing data quality tests, or managing data transformation pipelines.

Google ADK (Agent Development Kit) multi-agent system architecture for BigQuery data analytics. Covers BigQuery agent vs conversational agent patterns, ADK Single Parent Rule, domain routing with sub-agents, agent selection mechanisms, SQL error recovery with ReflectAndRetryToolPlugin, transfer_to_agent workflows, and frontend-backend agent coordination. Use when working with Google ADK agents, multi-agent systems, BigQuery SQL automation, domain expert routing, agent orchestration, or implementing error recovery strategies in AI agent applications.

Generate professional .docx comparison reports for two contract versions with executive summary, 5-column analysis table, visual redlines (RED deletions, GREEN additions), business impact narratives, QA/QC validation, and alignment tracking. Use when user uploads two .docx contract versions and requests comparison analysis for internal review, negotiation preparation, or client presentation.

Document chunking implementations and benchmarking tools for RAG pipelines including fixed-size, semantic, recursive, and sentence-based strategies. Use when implementing document processing, optimizing chunk sizes, comparing chunking approaches, benchmarking retrieval performance, or when user mentions chunking, text splitting, document segmentation, RAG optimization, or chunk evaluation.

Comprehensive data profiling and quality assessment using Teradata ClearScape Analytics descriptive statistics functions

Data Science Captain - ML models, analytics, forecasting, and data-driven insights

Generate comprehensive FAQs from common learner questions, analytics, discussion forums, and support tickets. Use for self-service support. Activates on "FAQ", "common questions", "help documentation", or "student support".

Comprehensive observability setup patterns for Google ADK agents including logging configuration, Cloud Trace integration, BigQuery Agent Analytics, and third-party observability tools (AgentOps, Phoenix, Weave). Use when implementing monitoring, debugging agent behavior, analyzing agent performance, setting up tracing, or when user mentions observability, logging, tracing, BigQuery analytics, AgentOps, Phoenix, Arize, or Weave.

Use this skill when working with Buildkite CI/CD pipelines, agents, builds, test analytics, or package registries. Covers pipeline configuration, YAML syntax, agent setup, build steps, plugins, and API usage.

Enhanced WasteWise Complete Analysis with comprehensive validation framework. Validates all requirements before output including contract tab generation, clause extraction, optimization criteria, formula accuracy, and data completeness. Produces detailed validation report showing which checks passed/failed. Use when rigorous quality control is needed for waste management analysis.

Plausible Analytics API for querying website statistics and managing sites. Use this skill to get visitor counts, pageviews, traffic sources, and manage analytics sites.

Specialized Python tutoring for HR analytics professionals. Use when working on HR/talent analytics tasks involving turnover, time-to-fill, retention, headcount, recruiting analytics, or other People Analytics metrics. Loads HR-specific patterns and examples.