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All AI skills

207 skills. Every one is readable here; downloads and live use need a subscription.

monte-carlo-monitor-creation

Guides creation of Monte Carlo monitors via MCP tools, producing monitors-as-code YAML for CI/CD deployment.

monte-carlo-prevent

Surfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.

monte-carlo-push-ingestion

Expert guide for pushing metadata, lineage, and query logs to Monte Carlo from any data warehouse.

monte-carlo-validation-notebook

Generates SQL validation notebooks for dbt PR changes with before/after comparison queries.

monte-carlo-analyze-root-cause

Investigate data incidents and find root causes using Monte Carlo's observability data. Guides the agent through systematic investigation: alert lookup, lineage tracing, ETL checks, query analysis, and data profiling.

monte-carlo-monitoring-advisor

Analyze data coverage, create monitors for warehouse tables and AI agents. Covers coverage gaps, use-case analysis, data monitor creation, and agent observability.

api-testing-observability-api-mock

You are an API mocking expert specializing in realistic mock services for development, testing, and demos. Design mocks that simulate real API behavior and enable parallel development.

database-migrations-migration-observability

Migration monitoring, CDC, and observability infrastructure

frontend-observability

A portable, framework-agnostic field-side observability system for any React or React Native app.

observability-and-instrumentation

Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works.

observability-engineer

Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows.

observability-monitoring-monitor-setup

You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful da

observability-monitoring-slo-implement

You are an SLO (Service Level Objective) expert specializing in implementing reliability standards and error budget-based engineering practices. Design comprehensive SLO frameworks, establish meaningful SLIs, and create monitoring systems that balance reliability with feature velocity.

service-mesh-observability

Complete guide to observability patterns for Istio, Linkerd, and service mesh deployments.

agenttrace-session-audit

Audit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.

application-performance-performance-optimization

Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.

aws-agentic-ai

AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations.

ax-extract-workflow

Reconstruct workflow behind a past coding-agent artifact using local ax sessions/commits/skills/tool traces. Use when asked how X was built.

azure-mgmt-applicationinsights-dotnet

Azure Application Insights SDK for .NET. Application performance monitoring and observability resource management.

azure-mgmt-arizeaiobservabilityeval-dotnet

Azure Resource Manager SDK for Arize AI Observability and Evaluation (.NET).

azure-mgmt-weightsandbiases-dotnet

Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability.

brendangregg-use-tsa

Methodical performance troubleshooting and root-cause analysis with Brendan Gregg's USE and TSA methods, plus evidence-backed RCA and postmortem reports.

devops-troubleshooter

Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability.

error-debugging-error-analysis

You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.

error-debugging-error-trace

You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging, and ensure teams can quickly identify and resolve production issues.

error-diagnostics-error-analysis

You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.

error-diagnostics-error-trace

You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging,

grafana-dashboards

Create and manage production-ready Grafana dashboards for comprehensive system observability.

grpc-golang

Build production-ready gRPC services in Go with mTLS, streaming, and observability. Use when designing Protobuf contracts with Buf or implementing secure service-to-service transport.

incident-responder

Expert SRE incident responder specializing in rapid problem resolution, modern observability, and comprehensive incident management.

incident-response-smart-fix

[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and res

kubestellar-console

Multi-cluster Kubernetes dashboard with AI-powered operations via MCP server and 10+ built-in agent skills

langfuse

Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production.

manifest

Install and configure the Manifest observability plugin for your agents. Use when setting up telemetry, configuring API keys, or troubleshooting the plugin.

monte-carlo-performance-diagnosis

Diagnoses pipeline performance issues -- slow jobs, expensive queries, latency trends -- using Monte Carlo's cross-platform observability. Uses a tiered investigation approach: discover problems, bridge to affected tables, then drill into root causes.

performance-engineer

Expert performance engineer specializing in modern observability,

service-mesh-expert

Expert service mesh architect specializing in Istio, Linkerd, and cloud-native networking patterns. Masters traffic management, security policies, observability integration, and multi-cluster mesh con

azure-data-tables-java

Build table storage applications using the Azure Tables SDK for Java. Works with both Azure Table Storage and Cosmos DB Table API.

azure-data-tables-py

Azure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations.

data-dense-design

Web and App implementation guide for Data-Dense Design. Trigger when user wants professional tools, maximum information density, and expert interfaces (like Bloomberg terminals or IDEs).

data-engineer

Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.

data-engineering-data-driven-feature

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

data-engineering-data-pipeline

You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.

data-quality-frameworks

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

data-scientist

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.

data-storytelling

Transform raw data into compelling narratives that drive decisions and inspire action.

data-structure-protocol

Give agents persistent structural memory of a codebase — navigate dependencies, track public APIs, and understand why connections exist without re-reading the whole repo.

extract-document-data

Extract structured, grounded fields from documents — values cite their page, missing values abstain instead of hallucinating. Use for parsing invoices, payslips, statements, contracts.

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