250 free skills · page 4 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.
4 / 5page
tax-loss-harvestingjoellewis/finance_skillsExecute a complete tax-loss harvesting workflow from candidate identification through post-harvest monitoring. Use when the user asks about finding TLH candidates, gain/loss budgeting, replacement security selection, wash-sale compliance, or harvest execution planning. Also trigger when users mention 'unrealized losses in my portfolio', 'swap ETFs for tax purposes', 'harvest losses before year-end', 'substantially identical security', 'wash-sale window', 'NIIT offset', 'loss carryforward', or ask how much tax they can save by harvesting.Observability455
wechat-automationcacr92/wereply当用户要求"微信监听"、"消息提取"、"Agent 开发"、"wxauto"、"Accessibility API"、"UI 自动化"、"输入框控制"、"Platform Agent"，或者提到"微信自动化"、"消息监控"、"WeChat monitoring"时使用此技能。用于开发 WeReply 的 Platform Agent（Windows wxauto 或 macOS Accessibility API）、实现微信消息监听、消息提取、输入框控制和 Agent 错误处理。Observability445
database-monitoringaj-geddes/useful-ai-promptsImplement comprehensive database monitoring for performance analysis, health checks, and proactive alerting. Covers metrics collection, analysis, and troubleshooting strategies.Observability443counterparty-riskjoellewis/finance_skillsGuide counterparty credit risk measurement and management for OTC and securities trading, organized around three workflows: assessing a new counterparty, responding to a credit-deterioration event, and executing a default close-out. Use when measuring current or potential future exposure to a counterparty, setting or reviewing counterparty credit limits, evaluating ISDA Master Agreement netting and close-out mechanics, designing CSA collateral terms or uncleared margin compliance (VM/IM, SIMM), assessing central clearing mandates under Dodd-Frank or EMIR and CCP default waterfalls, monitoring creditworthiness via CDS spreads or ratings, quantifying wrong-way risk, or computing EAD, SA-CCR, and CVA. For Reg T and FINRA Rule 4210 brokerage margin see margin-operations; for settlement risk, DVP, and CLS see settlement-clearing.Observability442infrastructure-monitoringaj-geddes/useful-ai-promptsImplement comprehensive infrastructure monitoring to track system health, performance metrics, and resource utilization with alerting and visualization across your entire stack.Observability441account-opening-compliancejoellewis/finance_skillsEmbed compliance controls into account opening and verify regulatory readiness. Use when designing CIP/KYC identity verification gates, implementing OFAC and sanctions screening at onboarding, collecting beneficial ownership certification for entity or trust accounts, building risk-based approval tiers that route applications by risk level, defining compliance screening requirements and exception tracking, adding senior investor protections (FINRA Rules 2165/4512) or trusted contact procedures, establishing CDD risk ratings and ongoing monitoring triggers, or preparing account opening procedures for SEC or FINRA examination. For the operational pipeline these controls plug into, see account-opening-workflow.Observability439post-trade-compliancejoellewis/finance_skillsGuide post-trade compliance monitoring and trade surveillance system design. Use when building alert logic to detect churning, front-running, cherry-picking, layering, spoofing, wash trading, or marking the close, implementing post-trade best execution review, evaluating allocation fairness with pro-rata verification or dispersion analysis, designing exception-based monitoring workflows with escalation paths, correlating trading with MNPI events for insider trading detection, building personal trading surveillance for preclearance and blackout enforcement, determining SAR or blue sheet or CAT reporting triggers, or tuning surveillance thresholds to reduce false positives. Also covers turnover ratios, cost-to-equity ratios, and investigation case management.Observability439stp-automationjoellewis/finance_skillsMeasure and raise straight-through processing (STP) rates in securities operations through zero-touch, exception-based processing. Use when measuring STP rates and analyzing manual touchpoints in an existing process, replacing review-all workflows with exception-based processing, evaluating RPA vs API-based vs hybrid automation for legacy systems, building exception queuing, categorization, and auto-resolution workflows, conducting process mining or root cause analysis on exception volumes, or setting STP rate targets and continuous improvement programs. For approval chains, four-eyes controls, and SLA monitoring, see workflow-automation.Observability438advisor-dashboardsjoellewis/finance_skillsDesign, build, and optimize dashboards for RIA practice management with AUM tracking, revenue analytics, and KPI frameworks. Use when the user asks about tracking firm-level metrics, monitoring advisor productivity, measuring organic growth rate, analyzing client retention and attrition, building executive or branch manager views, setting up exception alerts for NIGO and operational items, benchmarking against industry peers, or designing role-based dashboard access. Also trigger when users mention 'how is the practice doing', 'revenue per advisor', 'client attrition', 'net new assets', 'effective fee rate', 'practice benchmarking', 'AUM growth decomposition', or 'advisor capacity'.Observability437
openwebninjaopenweb-ninja/openwebninja-skillsUniversal scraper for any OpenWeb Ninja API. Scrape jobs, business listings, products, reviews, news, social profiles, finance data, and more. Use for lead generation, market research, competitor analysis, content monitoring, price tracking, or any structured data extraction task.Observability432workflow-automationjoellewis/finance_skillsDesign human-in-the-loop workflow orchestration for securities operations: task routing, approval chains, and SLA monitoring. Use when building multi-level approval chains with dollar thresholds and delegation of authority, enforcing four-eyes (maker-checker) controls, defining escalation rules for aging work items approaching SLA breach, designing human-in-the-loop gates, selecting a workflow engine or BPM platform (Camunda, Pega, ServiceNow), modeling a process as a state machine, adding audit trails for SEC Rule 17a-3/17a-4 or FINRA supervisory obligations, or migrating from email-and-spreadsheet tracking. For zero-touch automation rates and STP measurement, see stp-automation.Observability431runbook-creationaj-geddes/useful-ai-promptsCreate comprehensive operational runbooks that provide step-by-step procedures for common operational tasks, incident response, and system maintenance.Observability431
dt-obs-androiddynatrace/dynatrace-for-aiInstruments an existing Android project (Kotlin or Java) with the Dynatrace Mobile Agent for basic monitoring. Covers zero-to-first-event setup only: Gradle plugin, agent config, and user privacy opt-in. Do not use for advanced Dynatrace configuration beyond initial instrumentation.Observability428
docker-compose-productionthebushidocollective/hanUse when deploying Docker Compose applications to production including security hardening, resource management, health checks, logging, monitoring, and high-availability patterns.Observability421
agent-orchestration-advisordeanpeters/product-manager-skillsDesign multi-agent AI workflows with clear boundaries, handoffs, and monitoring. Use when a complex PM task should run as parallel specialized agents instead of one linear process.Observability406correlation-tracingaj-geddes/useful-ai-promptsImplement correlation IDs and distributed tracing to track requests across multiple services and understand system behavior.Observability404synthetic-monitoringaj-geddes/useful-ai-promptsSet up synthetic monitoring to automatically simulate real user journeys, API workflows, and critical business transactions to detect issues and validate performance.Observability400
llmquant-portfoliollmquant/skillsRouter skill for LLMQuant portfolio workflows. Use when the user needs company profiles, thesis tracking, theme research, watchlist monitoring, or alert management.Observability398Model Monitoringaj-geddes/useful-ai-promptsMonitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflowObservability397
synthetic-monitoringpetrkindlmann/qa-skillsSynthetic monitoring runs scripted tests against production on a schedule, 24/7. It catches outages, performance degradation, and broken flows before real users report them — at 3 AM when traffic is zero, probes are the only thing checking your app works. A login page that always returns 200 but…Observability395
wake-word-detectionmartinholovsky/claude-skills-generatorExpert skill for implementing wake word detection with openWakeWord. Covers audio monitoring, keyword spotting, privacy protection, and efficient always-listening systems for JARVIS voice assistant.Observability390distributed-tracingaj-geddes/useful-ai-promptsSet up distributed tracing infrastructure with Jaeger or Zipkin to track requests across microservices and identify performance bottlenecks.Observability388
python-logging-best-practicesterrylica/cc-skillsPython logging with loguru, structlog, and orjson. TRIGGERS - loguru, structlog, structured loggingObservability387
it-operationsdavila7/claude-code-templatesManages IT infrastructure, monitoring, incident response, and service reliability. Provides frameworks for ITIL service management, observability strategies, automation, backup/recovery, capacity planning, and operational excellence practices.Observability377llmquant-creditllmquant/skillsRouter skill for LLMQuant credit workflows. Use when the user needs issuer credit review, spread regime analysis, high-yield stress monitoring, default risk, debt maturity, or covenant context.Observability374
observability-monitoringmanutej/luxor-claude-marketplaceComprehensive observability and monitoring skill covering Prometheus, Grafana, metrics collection, alerting, exporters, PromQL, and production monitoring patterns for distributed systems and cloud-native applicationsObservability370
api-error-handlingsecondsky/claude-skillsImplements standardized API error responses with proper status codes, logging, and user-friendly messages. Use when building production APIs, implementing error recovery patterns, or integrating error monitoring services.Observability369
otel-supabase-edge-stylesuperloglabs/skillsSupabase Edge Function observability style: tiny provider-neutral OTel-shaped shim, OTLP export config, traces/logs/metrics, and LLM cost metrics.Observability368health-check-endpointssecondsky/claude-skillsHealth check endpoints for liveness, readiness, dependency monitoring. Use for Kubernetes, load balancers, auto-scaling, or encountering probe failures, startup delays, dependency checks, timeout configuration errors.Observability348
golang-observability-opentelemetrybobmatnyc/claude-mpm-skillsInstrumenting Go applications with OpenTelemetry for distributed tracing, Prometheus for metrics, and structured logging with slogObservability337logging-best-practicessecondsky/claude-skillsStructured logging with proper levels, context, PII handling, centralized aggregation. Use for application logging, log management integration, distributed tracing, or encountering log bloat, PII exposure, missing context errors.Observability330
observability-monitoringandrelandgraf/fullstackrecipesComplete observability stack with structured logging, error tracking, and web analytics.Observability324
ln-627-observability-auditorlevnikolaevich/claude-code-skillsChecks structured logging, health checks, metrics collection, request tracing, log levels. Use when auditing observability.Observability316
monitoring-observabilityakillness/jeo-skillsUse this skill when the main question is "what packet do we have, what should this system notice, and what should interrupt a human?"Observability313otel-flask-stylesuperloglabs/skillsFlask OpenTelemetry style: native FlaskInstrumentor, centralized observability init, Python decorators, OTLP logs, and LLM cost metrics.Observability312
database-migrations-migration-observabilitysickn33/agentic-awesome-skillsMigration monitoring, CDC, and observability infrastructureObservability311error-diagnostics-error-tracesickn33/agentic-awesome-skillsYou are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging,Observability310
admin-dashboardcuriositech/some_claude_skillsExtend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development,Observability306digitalocean-managementbobmatnyc/claude-mpm-skillsDigitalOcean management services for monitoring, uptime checks, and resource organization with Projects. Use when setting up observability, alerts, and operational visibility on DigitalOcean.Observability305
agent-observability-trace-rcadatadog-labs/agent-skillsRoot cause analysis on production LLM traces. Diagnoses why an LLM application is failing — works from eval judge verdicts, runtime errors, or structural anomalies depending on what signals are present. Walks the span tree from symptom to root cause. Use when user says "what's wrong with my app", "why is my eval failing", "analyze errors", "root cause analysis", "diagnose failures", or wants to understand production failure patterns.Observability299
ads-monitoragricidaniel/claude-adsMonitor paid-ad account pacing, delivery, performance, creative fatigue, tracking, policy, and data quality across supported platforms. Use for daily or weekly checks, anomaly review, budget pacing, post-launch verification, or campaign monitoring.Observability297
whale-trackingagiprolabs/claude-trading-skillsLarge wallet monitoring, accumulation and distribution detection, and smart money signal generation for Solana tokensObservability296agent-observability-session-classifydatadog-labs/agent-skillsDetection — At the start of every invocation, before taking any action, determine which backend to use:Observability295
social-media-intelligencejamditis/claude-skills-journalismSocial media monitoring, narrative tracking, and OSINT. Use when tracking viral spread, coordinated campaigns, or account vetting.Observability295
otel-instrumentationdash0hq/agent-skillsConfigures trace spans, defines custom metrics, sets up log exporters, and optimizes sampling strategies for OpenTelemetry instrumentation. Use when instrumenting applications with traces, metrics, or logs. Triggers on requests for observability, telemetry, tracing, metrics collection, logging integration, or OTel setup.Observability295
analyzing-persistence-mechanisms-in-linuxmukul975/anthropic-cybersecurity-skillsScan Linux systems for persistence mechanisms including crontab/systemd entries, LD_PRELOAD injection, shell profile modifications (.bashrc, .profile), and SSH authorized_keys backdoors, then correlate findings with auditd logs into an installation timeline. Use during incident response or threat hunting to detect or confirm how an adversary maintained access to a compromised Linux host.Observability294
pipefy-observabilitypipefy/ai-toolkitMonitor AI agent and automation execution, usage stats, credit consumption, and export job history. 11 MCP tools.Observability292
gplay-review-managementtamtom/gplay-cli-skillsReview monitoring, filtering, and automated responses for Google Play. Use when managing user reviews and feedback.Observability292analyzing-outlook-pst-for-email-forensicsmukul975/anthropic-cybersecurity-skillsParse Microsoft Outlook PST and OST files using libpff and pst-utils to extract message content, headers, attachments, deleted items, and MAPI metadata, including recovery of items from the Recoverable Items folder. Use when conducting email forensic investigations, legal e-discovery, or incident response that requires reconstructing communication patterns or tracing message routing from Outlook archives.Observability290agent-observability-eval-pipelinedatadog-labs/agent-skillsEnd-to-end Agent Observability pipeline for an instrumented ml_app — classify production traces, root-cause failures, bootstrap evaluators, then (optionally) sample + publish a dataset, generate + run an experiment, and analyze results. Six narrated phases with a standardized banner and a "continue" checkpoint between each. Pure orchestration over the agent-observability sub-skills (agent-observability-session-classify, agent-observability-trace-rca, agent-observability-eval-bootstrap, agent-observability-experiment-bootstrap, agent-observability-experiment-analyzer). Use when user says "run the eval pipeline", "go from traces to evals", "bootstrap evals end to end", "classify then RCA then bootstrap", "build an eval set from scratch", "onboard me to datasets and experiments", "walk me through experiments", "I have an ml_app, now what", "Agent Observability onboarding", "guided experiment setup", "from traces to experiments", or wants a deterministic, narrated tour from production data through evaluators, datasets, and experiments. Stop early with --stop-after <phase> to short-circuit at evaluators or dataset, or resume mid-flow with --start-at <phase>.Observability288
125-java-concurrencyjabrena/plinthUse when you need to apply Java concurrency best practices — including thread safety fundamentals, ExecutorService thread pool management, concurrent design patterns like Producer-Consumer, asynchronous programming with CompletableFuture, immutability and safe publication, deadlock avoidance, virtual threads, structured concurrency, scoped values, backpressure, cancellation discipline, and observability for concurrent systems. This should trigger for requests such as Review Java code for concurrency; Review Java code for thread safety; Fix race conditions in Java concurrency code; Choose ExecutorService or virtual threads in Java; Improve synchronization and shared mutable state handling; Apply structured concurrency for related Java subtasks. Part of Plinth ToolkitObservability284observability-monitoring-monitor-setupsickn33/agentic-awesome-skillsYou are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful daObservability282
dashboard-creatormhattingpete/claude-skills-marketplaceCreate HTML dashboards with KPI metric cards, bar/pie/line charts, progress indicators, and data visualizations. Use when users request dashboards, metrics displays, KPI visualizations, data charts, or monitoring interfaces.Observability279gplay-vitals-monitoringtamtom/gplay-cli-skillsMonitor Android app stability and performance from the Play Developer Reporting API via gplay vitals. Use to query crash/ANR rates, detect release regressions with anomaly detection, filter error issues/reports with AIP-160 expressions, and break down startup/rendering/battery metrics by dimension. Use when asked to check crash rates, ANR rates, error trends, performance data, or to gate a release on stability.Observability271gplay-rollout-managementtamtom/gplay-cli-skillsStaged rollout orchestration and monitoring for Google Play releases. Use when implementing gradual release strategies.Observability270dt-obs-ios-sdkdynatrace/dynatrace-for-aiSet up the Dynatrace iOS SDK (OneAgent) in an iOS project using Swift Package Manager. Automates adding the SPM dependency, creating a Dynatrace.plist configuration file, adding the import statement, adding privacy opt-in code, and building the project. Use this skill when the user wants to integrate, install, add, or set up Dynatrace monitoring in their iOS app. Keywords: Dynatrace, iOS, SDK, OneAgent, setup, install, integrate, SPM, Swift Package Manager, Info.plist, DTXApplicationID, DTXBeaconURL, mobile monitoring, RUM.Observability269
adding-error-trackingspencerpauly/awesome-cursor-skillsAdd Sentry error tracking, performance monitoring, and source maps to a web application.Observability267
farming-expertpersonamanagmentlayer/pclExpert-level precision agriculture, farm management systems, crop monitoring, and agtechObservability264copy-tradingagiprolabs/claude-trading-skillsWallet evaluation, monitoring, and copy-trade strategy design for Solana DEX tradingObservability260
sentry-setup-logginggetsentry/sentry-agent-skillsSetup Sentry Logging in any project. Use when asked to add Sentry logs, enable structured logging, capture console logs, or integrate logging libraries (Consola, Loguru) with Sentry. Supports JavaScript, Python, and Ruby.Observability258Other tasks
same rules, different job
