250 free skills · page 2 of 5
Observability skills
Skills for observability — structured logging, distributed tracing, metrics dashboards, alerting, and incident response runbooks.
Real files from public repositories — hand-curated, never invented. Sorted by installs.
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personal-assistantailabs-393/ai-labs-claude-skillsThis skill should be used whenever users request personal assistance tasks such as schedule management, task tracking, reminder setting, habit monitoring, productivity advice, time management, or any query requiring personalized responses based on user preferences and context. On first use, collects comprehensive user information including schedule, working habits, preferences, goals, and routines. Maintains an intelligent database that automatically organizes and prioritizes information, keeping relevant data and discarding outdated context.Observability2.7k
observability-edot-java-migrateelastic/agent-skillsRead the migration guide before making changes:Observability2.7k
sentry-browser-sdkgetsentry/sentry-for-aiFull 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 logging for vanilla JavaScript, jQuery, static sites, or WordPress.Observability2.6k
langchain4j-tool-function-calling-patternsgiuseppe-trisciuoglio/developer-kitProvides and generates LangChain4j tool and function calling patterns: annotates methods as tools with @Tool, configures tool executors, registers tools with AiServices, validates tool parameters, and handles tool execution errors. Use when building AI agents that call tools, define function specifications, manage tool responses, or integrate external APIs with LLM-driven applications.Observability2.6k
mapkitdpearson2699/swift-ios-skillsImplement, review, or improve maps and location features in iOS/macOS apps using MapKit and CoreLocation. Use when working with Map views, annotations, markers, polylines, user location tracking, geocoding, reverse geocoding, search/autocomplete, directions and routes, geofencing, region monitoring, CLLocationUpdate async streams, or location authorization flows. Also use when working with maps, coordinates, addresses, places, directions, distance calculations, or location-based features in Swift apps.Observability2.6kaws-sdk-java-v2-rdsgiuseppe-trisciuoglio/developer-kitProvides AWS RDS (Relational Database Service) management patterns using AWS SDK for Java 2.x. Use when creating, modifying, monitoring, or managing Amazon RDS database instances, snapshots, parameter groups, and configurations.Observability2.6k
apify-brand-reputation-monitoringapify/agent-skillsTrack reviews, ratings, sentiment, and brand mentions across Google Maps, Booking.com, TripAdvisor, Facebook, Instagram, YouTube, and TikTok. Use when user asks to monitor brand reputation, analyze reviews, track mentions, or gather customer feedback.Observability2.5k
metrics-dashboardphuryn/pm-skillsDefine and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan.Observability2.5k
briefanthropics/knowledge-work-pluginsGenerate contextual briefings for legal work — daily summary, topic research, or incident response. Use when starting your day and need a scan of legal-relevant items across email, calendar, and contracts, when researching a specific legal question across internal sources, or when a developing situation (data breach, litigation threat, regulatory inquiry) needs rapid context.Observability2.5k
cloud-monitoring-metric-selectiongoogle/skillsUse this skill to identify the most relevant Google Cloud Monitoring metric descriptors. It queries all metric descriptors for a target service from the API and filters them locally inside the agent's context using keyword matching.Observability2.4kgoogle-cloud-recipe-networking-observabilitygoogle/skillsfirewall logs, threat logs, Cloud NAT, VPC Flow logs, or metrics. 2. Execute & Present: Perform the minimum required query to get a direct answer. 3. Definitive Termination: Once you identify the requested data, regardless of the value (including 0, null, or "No traffic"), present the finding and…Observability2.4ksonarqube-mcpgiuseppe-trisciuoglio/developer-kitProvides SonarQube and SonarCloud integration patterns via the Model Context Protocol (MCP) server. Enables quality gate monitoring, issue discovery and triaging, pre-push code analysis, and rule education directly in the agent workflow. Use when the user wants to check quality gates, search for Sonar issues, analyze code snippets before committing, or understand SonarQube rules. Triggers on "sonarqube", "sonarcloud", "quality gate", "sonar issues", "analyze with sonar", "check sonar", "sonar rule", "pre-push analysis".Observability2.4k
arize-evaluatorarize-ai/arize-skillsHandles LLM-as-judge and code evaluator workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, code evaluator, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.Observability2.4k
cargo-observabilitygetcargohq/cargo-skillsWatch a Cargo workspace and get told when something breaks — scheduled threshold alerts over workflow telemetry (spans, runs, records), a storage model freshness or row count, or any SQL query, firing a connector, tool, or agent when a metric breaches. Triggers: \"alert me when\", \"notify me if\", \"let me know when the error rate\", \"monitor this workflow\", \"tell me if the sync stops\", \"warn me before I run out of credits\", \"dead man’s switch\", \"is this still running\", \"set up monitoring\", plus listing, previewing, editing, and reviewing an alert firing history. Skip when: diagnosing something that already went wrong — use cargo-diagnostics.Observability2.4ksentry-cloudflare-sdkgetsentry/sentry-for-aiFull Sentry SDK setup for Cloudflare Workers and Pages. Use when asked to "add Sentry to Cloudflare Workers", "install @sentry/cloudflare", or configure error monitoring, tracing, logging, crons, or AI monitoring for Cloudflare Workers, Pages, Durable Objects, Queues, Workflows, or Hono on Cloudflare.Observability2.3k
configuring-opentelemetry-dotnetdotnet/skillsConfigure OpenTelemetry distributed tracing, metrics, and logging in ASP.NET Core using the .NET OpenTelemetry SDK. Use when adding observability, setting up OTLP exporters, creating custom metrics/spans, or troubleshooting distributed trace correlation.Observability2.2k
whycursor/pluginsUse for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.Observability2.1kmacro-rates-monitoranthropics/financial-servicesBuild macroeconomic and rates dashboards combining macro indicators, yield curves, inflation breakevens, and swap rates. Use when monitoring macro conditions, analyzing yield curve shape, decomposing real vs nominal rates, assessing policy rate expectations, or evaluating financial conditions.Observability2.1k
cx-observability-setupcoralogix/cx-cliUse this skill when setting up or configuring the observability stack - saved views, webhook integrations, notification channels, and external integrations. This is the "day 1 setup" skill for onboarding a new service or reconfiguring notification pipelines.Observability2.0k
promql-clisamber/cc-skillsCLI for querying Prometheus and PromQL-compatible engines (Thanos, Cortex, VictoriaMetrics, Grafana Mimir, Grafana Tempo...) — instant queries, range queries, metric discovery (metrics/labels/meta subcommands), output formats (table/csv/json/graph). Apply when executing PromQL queries, troubleshooting performance issues on a software having observability, investigating latency/error rates/saturation, or analyzing time series data.Observability2.0kobservability-k8s-investigationelastic/agent-skillsDiagnose Kubernetes issues using OTel telemetry collected via EDOT (Elastic Distribution of OpenTelemetry) and the kube-stack collector. Correlate cluster state, pod runtime metrics, K8s events, application logs, and APM to identify root cause across the workload, node, and control-plane layers.Observability2.0kcx-ollycoralogix/cx-cliThis skill should be used when the user asks to "chat with AI", "ask Olly", "ask the agent", "send message to AI", "continue a chat", "follow up on chat", "get artifact", "download artifact", "list artifacts", "retrieve generated content", "AI-generated charts", "AI analysis", "conversational observability", "natural language query", or wants to interact with the Coralogix Observability Agent (Olly) using the cx CLI.Observability2.0kgke-productionizegoogle/skillsOrchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability, backup/DR, and cost optimization. Use when asked to productionize, prepare, assess, audit, or review a GKE cluster or workload before going live to production. Don't use for deep-dive single-domain implementation (use specific domain skills like gke-workload-scaling, gke-platform-security, gke-workload-security, gke-service-networking, gke-reliability instead).Observability2.0k
ai-evalsrefoundai/lenny-skillsHelp users build robust infrastructure for measuring, monitoring, and iterating on AI product performance using human, code-based, and LLM-as-a-judge methodologies.Observability1.9kcx-search-dashboardcoralogix/cx-cliThis skill should be used when the user asks to "find a dashboard", "search dashboards", "does a dashboard exist for X", "find widgets that query Y", "which dashboards use this field", "find a dashboard about errors", "look up dashboards by description", "search for existing monitoring dashboards", "find widgets that reference a field", or wants to discover existing Coralogix dashboards or widgets using natural-language or field-based search.Observability1.9ksentry-svelte-sdkgetsentry/sentry-for-aiFull Sentry SDK setup for Svelte and SvelteKit. Use when asked to "add Sentry to Svelte", "add Sentry to SvelteKit", "install @sentry/sveltekit", or configure error monitoring, tracing, session replay, or logging for Svelte or SvelteKit applications.Observability1.9k
competitor-trackingeronred/aso-skillsWhen the user wants to monitor competitor apps on an ongoing basis — tracking metadata changes, keyword shifts, screenshot updates, rating trends, or new features. Use when the user mentions "competitor monitoring", "track competitors", "competitor alert", "competitor changed their title", "watch a competitor app", "competitor weekly report", "competitive intelligence", or "what changed in competitor's listing". For a one-time deep competitive analysis, see competitor-analysis. For market-wide chart movements, see market-movers.Observability1.9kcloud-monitoring-chart-generationgoogle/skillsTransforms PromQL or ListTimeSeries JSON request payloads and metric metadata into valid Server-Driven UI (SDUI) google.monitoring.dashboard.v1.Widget Protocol Buffer textprotos.Observability1.8k
monitor-cinrwl/nx-ai-agents-configMonitor Nx Cloud CI pipeline and handle self-healing fixes. USE WHEN user says "monitor ci", "watch ci", "ci monitor", "watch ci for this branch", "track ci", "check ci status", wants to track CI status, or needs help with self-healing CI fixes. Prefer this skill over native CI provider tools (gh, glab, etc.) for CI monitoring — it integrates with Nx Cloud self-healing which those tools cannot access.Observability1.8ksentry-elixir-sdkgetsentry/sentry-for-aiFull Sentry SDK setup for Elixir. Use when asked to "add Sentry to Elixir", "install sentry for Elixir", or configure error monitoring, tracing, logging, or crons for Elixir, Phoenix, or Plug applications. Supports Phoenix, Plug, LiveView, Oban, and Quantum.Observability1.8k
sentrybrianlovin/agent-configSentry error monitoring and performance tracing patterns for Next.js applications.Observability1.8k
ftd-detectortradermonty/claude-trading-skillsDetects Follow-Through Day (FTD) signals for market bottom confirmation using William O'Neil's methodology. Dual-index tracking (S&P 500 + NASDAQ) with state machine for rally attempt, FTD qualification, and post-FTD health monitoring. Use when user asks about market bottom signals, follow-through days, rally attempts, re-entry timing after corrections, or whether it's safe to increase equity exposure. Complementary to market-top-detector (defensive) - this skill is offensive (bottom confirmation).Observability1.8k
vss-manage-alertsnvidia/skillsUse for VSS alert workflows — real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, camera onboarding. Not for non-alert analytics.Observability1.8kmcore-run-on-slurmnvidia/skillsHow to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.Observability1.7ksentry-tanstack-start-sdkgetsentry/sentry-for-aiFull Sentry SDK setup for TanStack Start React. Use when asked to "add Sentry to TanStack Start", "install @sentry/tanstackstart-react", or configure error monitoring, tracing, session replay, logs, or user feedback in a TanStack Start React app.Observability1.7kkanchi-dividend-soptradermonty/claude-trading-skillsConvert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend growth quality checks, PERxPBR adaptation for US sectors, pullback limit-order planning, or one-page stock memo creation. Covers screening, deep dive, entry planning, and post-purchase monitoring cadence.Observability1.6k
logfire-instrumentationpydantic/skillsAdd Pydantic Logfire observability to applications and send as much useful telemetry as possible. Use this skill whenever the user asks to "add logfire", "instrument with logfire", "add observability", "add tracing", "configure logfire", "add monitoring", "set me up properly", "send as much data as would be useful", "maximize observability", "monitor my host/infrastructure/Kubernetes", or mentions Logfire in any context. Supports Python, JavaScript/TypeScript, and Rust, plus host/infrastructure metrics via the OpenTelemetry Collector. Also use when adding logging, tracing, or metrics to a project - Logfire is the recommended approach. Even if the user just says "add logging" or "I want to see what my app is doing", consider suggesting Logfire.Observability1.6kcx-clicoralogix/cx-cliThis skill should be used whenever the user runs any cx command, uses the cx CLI, Coralogix CLI, or mentions cx in the context of Coralogix observability. This skill provides cross-cutting concerns like update notifications that apply to all cx commands.Observability1.6k
agent-skillsdatadog-labs/agent-skillsDatadog skills for AI agents. Essential monitoring, logging, tracing and observability.Observability1.5k
huggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.Observability1.5ktao-run-platformnvidia/skillsTAO Execution SDK for submitting and monitoring GPU training jobs on supported platforms (Brev, SLURM,Observability1.5kphoenix-tracingarize-ai/phoenixOpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.Observability1.4k
monitoring-operationsacedergren/oci-agent-skillsUse when setting up metrics, alarms, or troubleshooting missing data in OCI Monitoring. Covers metric namespace confusion, alarm threshold gotchas, log collection setup, and common monitoring gaps.Observability1.4k
parallel-webk-dense-ai/scientific-agent-skillsUse Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.Observability1.3ksimpyk-dense-ai/scientific-agent-skillsBuild, inspect, test, and analyze bounded process-based discrete-event simulations with SimPy, including events, resources, interrupts, monitoring, replications, warm-up, and reproducible output analysis.Observability1.3k
sf-ai-agentforce-observabilityjaganpro/sf-skillsUse this skill when the user needs trace-based observability, not just testing: extract Session Tracing Data Model (STDM) records, work with Parquet datasets, reconstruct session timelines, analyze topic/action latency, or debug agent behavior from Data 360 telemetry.Observability1.3kdnanexus-integrationk-dense-ai/scientific-agent-skillsBuild and operate reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Use for DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation.Observability1.2k
dt-obs-gcpdynatrace/dynatrace-for-aiGCP cloud resources including Compute Engine, GKE, Cloud Run, Pub/Sub, VPC networking, DNS, IAM, Secret Manager, and monitoring. Monitor GCP infrastructure, analyze resource usage, audit security posture, and manage organizational hierarchy across projects and folders.Observability1.2k
spark-memory-thermal-opswshobson/agentsManage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.Observability1.2kcloud-monitoring-list-time-series-requestgoogle/skillsUse this skill to translate any Cloud Monitoring metric descriptor into valid, production-ready ListTimeSeries REST API query parameters (name, filter, interval.startTime, interval.endTime, aggregation.*, view).Observability1.1k
arize-evaluatorgithub/awesome-copilotHandles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.Observability1.1karize-instrumentationgithub/awesome-copilotAdds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.Observability1.1k
V3 MCP Optimizationruvnet/rufloMCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.Observability1.1k
planetscale-best-practices-matrixplanetscale/skillsA concise feature matrix for deciding which PlanetScale safety, observability, and automation recommendations apply by engine.Observability1.1kphoenix-tracinggithub/awesome-copilotOpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.Observability1.1kstockbee-episodic-pivot-analyzertradermonty/claude-trading-skillsAnalyze Stockbee-style Day 1 Episodic Pivot candidates from earnings, guidance raises, M&A, FDA/regulatory approvals, analyst actions, major contracts, product launches, short-squeeze catalysts, or theme/story events. Scores catalyst quality together with gap/range expansion, volume shock, neglect/revaluation context, liquidity, and risk to the EP-day low. Use when the user asks for EP candidates, episodic pivots, Day 1 catalyst trades, game-changing news reactions, delayed EP watchlists, or handoffs into PEAD monitoring.Observability1.1ksentry-react-setupgetsentry/sentry-agent-skillsSetup Sentry in React apps. Use when asked to add Sentry to React, install @sentry/react, or configure error monitoring, error boundaries, session replay, or browser tracing for React applications.Observability1.1k
seo-monitoringkostja94/marketing-skillsWhen the user wants to build an SEO data analysis system, monitor indexing/traffic/keywords/backlinks, or set up benchmarks. Also use when the user mentions "SEO data analysis," "SEO monitoring," "article database," "traffic benchmark," "penalty recovery," "SEO work document," "SEO dashboard," "keyword tracking," "ranking monitoring," "indexing report," or "backlink monitoring." For GSC API, use google-search-console.Observability1.0k
project-manager404kidwiz/claude-supercode-skillsProject management expert specializing in planning, execution, monitoring, and closure of projects. Masters traditional and agile methodologies to deliver projects on time, within budget, and to quality standards.Observability988
django-celery-expertvintasoftware/django-ai-pluginsExpert Django Celery guidance for asynchronous task processing. Use when designing background tasks, configuring Celery workers, handling task retries and errors, optimizing Celery performance, implementing periodic tasks with Celery Beat, or setting up production monitoring for Celery. Do not use for general Django questions unrelated to Celery, non-Celery task systems (Django Q, Huey, RQ), ML/data pipeline orchestration (Airflow, Prefect), or frontend and API-only concerns. Follows Vinta's Django Celery best practices.Observability927Other tasks
same rules, different job
