Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datase — from…
Guide for the phoenix-otel TypeScript package — OTel registration, stack-based global provider management, and provider lifecycle.
OpenTelemetry instrumentation coverage auditor. Scans Node.js/Python/Go/Java source code to detect missing or misconfigured OTel instrumentation — HTTP handlers without spans,…
Este skill deve ser usado quando o usuário precisar consumir a API Pier Cloud (Lighthouse) para gerenciamento de custos em nuvem — incluindo autenticação JWT, listagem de…
Use when publishing or subscribing to Salesforce Platform Events from Apex, comparing Platform Events with Change Data Capture, or designing event-triggered error handling and…
Check if services are responding on given host:port pairs. Supports TCP and HTTP checks with configurable timeout. Use for service monitoring, health checks, and network debugging.
Portkey AI gateway — unified LLM API, load balancing, fallbacks, caching, guardrails, observability
Pro+ subscription required. Tenant-wide Power Automate monitoring using the FlowStudio MCP cached store: failure rates, run-health trends, maker/app inventory, inactive owners,…
Gerencia o ciclo de vida completo de processos background com suporte cross-platform (Windows taskkill + Unix killpg/SIGTERM).
Prometheus metrics for LLM/AI inference telemetry. Token throughput counters, KV-cache hit/miss rates, latency histograms, model queue depth gauges, and Grafana dashboard…
Builds custom Prometheus exporters using the prometheus_client Python SDK and Go client_golang library.
Reviews Prometheus instrumentation in Go code for proper metric types, labels, and patterns. Use when reviewing code with prometheus/client_golang metrics.
Design application metrics, Prometheus scraping topologies, PromQL queries, alerting rules, and Grafana dashboards as code.
Validates and tests Prometheus alerting rules against historical metrics data using the Prometheus HTTP API /api/v1/query_range endpoint.
Observability patterns for Python backends. Use when adding logging, metrics, tracing, or debugging production issues.
Pyroscope is an open-source continuous profiling platform by Grafana Labs that helps identify CPU, memory, and I/O bottlenecks at the line-of-code level.
Use when writing or reviewing TypeScript/full-stack code. Encodes principles for type safety (branded types, discriminated unions, end-to-end types), real tests over mocks,…
Quickwit is a cloud-native search engine built in Rust for log management and distributed tracing. It offers sub-second search on cloud storage (S3, Azure Blob, GCS), an…
Quota tracking, threshold monitoring, graceful degradation for rate-limited APIs.
Upload files to Cloudflare R2, AWS S3, or any S3-compatible storage (like MinIO) and generate secure, time-limited presigned download links with configurable expiration, typically…
Guias de observabilidade para serviços em produção — logs, métricas, traces e resposta a incidentes. Use ao instrumentar código (logging estruturado, correlation/trace IDs,…
Monitor Replit deployments with health checks, uptime tracking, resource usage, and alerting. Use when setting up monitoring for Replit apps, building health dashboards, or…
Review code for logging patterns and suggest evlog adoption. Guides setup on Nuxt, Next.js, SvelteKit, Nitro, TanStack Start, React Router, NestJS, Express, Hono, Fastify, Elysia,…
Use when an ai-issue-solver batch run should execute unattended over night (or any long period) with full preflight checks, log rotation, dashboard refresh, and a final summary.
Runtime operational metrics with meters, timers, histograms, and moving averages. node-measured patterns for tracking request rates, execution durations, error rates, and EWMAs…
Monitor SAM.gov federal contract opportunities (and follow-on awards) by NAICS, PSC, agency, set-aside, and keyword — produces a daily pipeline report with pursue/no-pursue…
Review SAP Cloud ALM for SRE and operations governance: health monitoring configuration, alerting rule coverage, integration and exception monitoring, business process monitoring,…
Use TickerQ to add persistent cron and time-based job scheduling, retries, multi-node coordination, OpenTelemetry, and a live dashboard to .NET agent services.
Dictionary utilities for scientific Python — attribute-access dicts, conflict-aware merging, nested flattening, and pretty rendering.
System resource introspection + monitoring. `get_specs()` returns full hardware/OS/Python snapshot (CPU, memory, disk, network, GPU, OS, Python version) as a nested dict.
Full Sentry SDK setup for browser JavaScript. Use when asked to "add Sentry to a website", "install @sentry/browser", or configure error monitoring, tracing, session replay, or…
Integrate Sentry into CI/CD pipelines for automated release creation, source map uploads, and deploy notifications.
Analyze and resolve Sentry comments on GitHub Pull Requests. Use this when asked to review or fix issues identified by Sentry in PR comments.
Collect diagnostic information for Sentry troubleshooting and support tickets. Use when events are not appearing in Sentry, SDK initialization seems broken, DSN connectivity…
Debug and analyze {{PROJECT_NAME}} errors and exceptions. Use when investigating crashes, error patterns, performance issues, or understanding what went wrong in production.
Full Sentry SDK setup for .NET. Use when asked to "add Sentry to .NET", "install Sentry for C#", or configure error monitoring, tracing, profiling, logging, or crons for ASP.NET…
Capture your first test error with Sentry and verify it appears in the dashboard. Use when testing a new Sentry integration, verifying error capture works after install-auth, or…
Install and configure Sentry SDK authentication with DSN setup. Use when setting up Sentry error tracking, configuring DSN, or initializing Sentry in a Node.js or Python project.
A change touching Sentry — `Sentry.init`, `@sentry/react`, `@sentry/nextjs`, `@sentry/react-native`, `withSentryConfig`, `getSentryExpoConfig`, a DSN, an auth token, source maps,…
Sentry error tracking i performance monitoring dla React + Supabase Edge Functions. Aktywuje się przy pracy z błędami, monitoringiem, captureException, error boundary, śledzeniem…
Identify and fix common Sentry SDK pitfalls that cause silent data loss, cost overruns, and missed alerts. Covers 10 anti-patterns with fix code.
Configure Sentry for local development with environment-aware settings. Use when setting up dev vs prod DSN routing, enabling debug mode, tuning sample rates for local work, or…
Full Sentry SDK setup for Node.js, Bun, and Deno. Use when asked to "add Sentry to Node.js", "add Sentry to Bun", "add Sentry to Deno", "install @sentry/node", "@sentry/bun", or…
Review a project's PRs to check for issues detected in code review by Seer Bug Prediction. Use when asked to review or fix issues identified by Sentry in PR comments, or — from…
Production deployment checklist for Sentry integration. Use when preparing a production deployment, auditing an existing Sentry setup, or running a go-live readiness review.
Manage Sentry rate limits, quotas, and event volume optimization. Use when hitting 429 errors, tuning sampleRate/tracesSampleRate, filtering noisy browser errors with beforeSend,…
Upgrade Sentry SDK versions and migrate breaking API changes. Use when upgrading from Sentry v7 to v8, migrating Python SDK v1 to v2, replacing deprecated Hub/Transaction APIs, or…
Use when dispatching 2+ independent parallel agents for debugging, multi-domain investigation, or simultaneous fixes on unrelated modules.
Logs and scores skill usage quality, tracking output effectiveness, user satisfaction signals, and improvement opportunities.
Use when working with Slang shaders, shader modules, HLSL-compatible GPU code, graphics pipelines, compute shaders, tessellation, ray tracing, parameter blocks, generics,…
Structured logging workflow for debugging code paths with per-run log files in `.context/slog`. Use when the user says "use slog", asks for structured logging, wants you to…
General best practices for software engineering across any language. Use when writing code, debugging, or designing systems to ensure reliability, observability, and…
Provides final code cleanup after task review approval. Removes debug logs, temporary comments, dead code, optimizes imports, and improves readability.
Principal-level SRE architect focused on reliability, observability, SLOs, alerting, incident response, and operational excellence. Strategic role. OpenSource only instruments.
Defines service level objectives, creates error budget policies, designs incident response procedures, develops capacity models, and produces monitoring configurations an — from…
Use this when: my alerts are too noisy, set up monitoring, service is down, alert fatigue, define SLOs, write a runbook, postmortem template, why is my service slow, error rate is…
ใช้ skill นี้เมื่อเขียน ASP.NET API Controller, กำหนด route, HTTP method, permission/authorization, หรือ logging ใน controller ตามมาตรฐาน SSD
ใช้ skill นี้เมื่อตั้งค่า Logging ด้วย Serilog, สร้าง Background Job ด้วย Quartz, หรือสร้าง RestSharp API Client สำหรับเรียก API ภายนอก ตามมาตรฐาน SSD
Troubleshoots Outfitter Stack issues including Result handling, MCP problems, CLI output, exit codes, and logging.
Real-time metrics streaming via StatsD UDP protocol. Counter, gauge, timer, and set metrics; sampling rates; DogStatsD tags; flush intervals; and integration with Datadog/Graphite…