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ClaudSkillsEngineering › Observability

Observability

438 Claude Code skills in the Observability sub-category of Engineering.

438 skills · updated 2026-08-26 · showing 1–60 of 438 by quality score

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Process and generate multimedia content using Google Gemini API for better vision capabilities. Capabilities include analyze audio files (transcription with timestamps, s — from…
로깅 컨벤션 검증 스킬. Python 코드의 로깅 패턴을 분석하여 규칙 준수 여부를 검사한다.
Use after creating PR - monitor CI pipeline, resolve failures, address review feedback, and merge when all gates pass
Primary tool for all code navigation and reading in supported languages (Rust, Python, TypeScript, JavaScript, Go, Java, Scala, SQL).
Expert in error handling, Error Boundaries, Sentry integration, logging strategies, error recovery, user-friendly error UI, and debugging tools
Control and interact with a live browser session on any scraped page — click buttons, fill forms, navigate flows, and extract data using natural language prompts or code.
Implement observability and monitoring using Cloudflare Workers Analytics, wrangler tail for logs, and health checks.
Configures automated infrastructure monitoring with mobile alerts (ntfy.sh and Home Assistant) and implements auto-recovery for common failures.
Check the logs, what happened, debug this, app crashed, nothing happens when I tap. iOS device and simulator log streaming, searching, filtering, and pattern analysis.
Parses OpenTelemetry-formatted logs to reconstruct execution traces, extract errors with call chains, and provide AI-powered root cause analysis.
Expert codebase investigator that builds rich mental models, traces interactions between components, finds bugs and defects, and explains why code behaves the way it does.
Use when: reviewing, designing, implementing, or debugging C++ object lifetime, dangling pointers or references, iterator invalidation, reference invalidation, string_view or span…
Implement monitoring for a project by consuming augur's monitoring-spec.yaml. Produces Grafana dashboard JSON, Prometheus alert rules, and validates that the running service emits…
This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom…
Service health monitoring, alerting patterns, and incident response. Check if services are up, diagnose issues, set up alerting rules.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links.
Run the stata-reviewer agent on a do-file. Produces a structured code-review report covering reproducibility, logging, naming, magic numbers, table/figure quality, and conformance…
Roda, monitora e diagnostica scripts Python/notebooks na workstation. Cobre: verificar se está executando, tempo decorrido/restante, uso de GPU/CPU, escolha de GPU com menor…
Infrastructure operations skill for monitoring servers, validating tokens, and managing backups. Triggers: /infra-status, /token-check, /backup-now
Track Claude Code token usage, sessions, tool calls, lines of code, commits, and PRs per user and team. Supabase OTel queries for usage dashboards.
Automate browsers with Puppeteer CLI scripts and persistent sessions. Use for screenshots, performance analysis, network monitoring, web scraping, form automation, JavaScript…
Use this skill whenever the user needs to perform VMware compliance auditing, baseline checking, or drift detection on vSphere/ESXi/NSX environments.
Entry point for general Agent 365 (A365) registration and CLI setup — use this skill whenever the user wants to "set up A365", "register agent", "create blueprint", or general…
Analyze a repository's type system and generate type-safe DAG execution pipelines with GraphSentry-style certificate verification.
Arize Phoenix observability platform setup for LLM debugging and evaluation
Generates MediatR Pipeline Behaviors for cross-cutting concerns like logging, validation, exception handling, caching, and performance monitoring.
ABAP development patterns and best practices — BAPI/RFC, dynamic programming, Clean ABAP, DDIC design, exception handling, BAL logging, ABAP OO.
Adds an event consumer that writes to Azure Data Lake (Parquet) following BI_SALES_RISK plan. Creates events/consumers/[Name]DataLakeCollector.ts subscribing to RabbitMQ, building…
Add a --debug flag and structured file logging to the current project
Creates a custom MediatR pipeline behavior for cross-cutting concerns. Use when adding validation, logging, caching, or other pipeline logic that applies to multiple handlers.
Complete observability & reliability engineering system. Use when designing monitoring, implementing structured logging, setting up distributed tracing, building alerting systems,…
Monitoring et observabilité pour agents IA en production. Traces, métriques, alertes. Se déclenche avec "monitoring agent", "observabilité agent", "LangSmith", "traces ag — from…
Telemetry and observability patterns for AI agent systems. Structured multi-transport logging, OpenTelemetry traces/spans through action gates, crash diagnostics,…
Grafana Labs LLM plugin, Assistant ve HTTP API ayrımını Sentinel CLI bağlamında açıklarken kullan.
Gives Claude Code operators a live dashboard for multi-agent sessions, tool calls, file activity, and nested task progress so debugging starts from what the agents are actually…
Operational patterns for LLM inference: latency budgeting, tail-latency control, caching, batching/scheduling, quantization/compression, parallelism, and reliable serving — from…
Operational patterns for LLM inference: latency budgeting, tail-latency control, caching, batching/scheduling, quantization/compression, parallelism, and reliable serving — from…
Use when designing AI agent observability architecture, integrating mission-control dashboards, or defining AI-specific KPI schemas
Testing and evaluation framework for LLM prompts and applications -- promptfooconfig.yaml, assertions, model-graded evals, red teaming, CI/CD integration, custom provider — from…
Query and troubleshoot logs in Alibaba Cloud Log Service (SLS) using query|analysis syntax and the Python SDK.
Giải thích dashboard Grafana Dotnet Runtime Metrics (Prometheus) — GC, memory, thread pool, JIT, exceptions.
Structures catastrophe risk assessment with model output interpretation and accumulation monitoring. Use when analyzing cat risk, interpreting cat model results, or managing cat…
Optimize Anthropic Claude API costs with model routing, prompt caching, batching, and spend monitoring.
Use when an approved ai-architecture.md needs eval or observability coverage for an Anthropic Claude capability.
Implement comprehensive API error handling with standardized error responses, logging, monitoring, and user-friendly messages.
Instrument API requests with spans and distributed tracing. Use when tracking request latency or debugging API issues.
**ANALYSIS SKILL** - Observe Aspire apps: logs, traces, metrics, resource state, telemetry export, browser telemetry, and the standalone dashboard.
Use when the user says "audit my observability" / "audit logging/tracing/alerting" / "what are we blind to" / "review my Sentry/Datadog setup" — reads the connected observability…
Implementing comprehensive logging, tracking, and audit trails for AI systems to ensure compliance and enable debugging.
Applies consistent error handling, logging, and user-facing messages: typed errors, operational-vs-programmer classification, API error envelopes, HTTP status mapping.
Use when writing C++ code with `axllm` for agent tracing, centralized and multi-tenant usage accounting, action logs, runtime diagnostics, replay, and production debugging.
Use when writing Go code with `github.com/ax-llm/ax/packages/go` for agent tracing, centralized and multi-tenant usage accounting, action logs, runtime diagnostics, replay, and…
Optimize BambooHR integration costs through request reduction, caching, and usage monitoring. Use when analyzing API usage patterns, reducing unnecessary calls, or implementing…
Use when designing, reviewing, or debugging Batch Apex contracts, scope sizing, stateful behavior, chaining, and AsyncApexJob monitoring.
Step-by-step guide for migrating from Honeycomb Beelines (End of Life) to OpenTelemetry instrumentation.
Use when you need to run a binary, trace execution, or observe runtime behavior. Runtime analysis via QEMU emulation, GDB debugging, and Frida hooking - syscall tracing ( — from…
Analyze MSBuild binary logs to diagnose build failures by replaying binlogs to searchable text logs. Only activate in MSBuild/.NET build context.
Compares how a rhythm CHANGES between conditions, genotypes, treatments, tissues, or ages (differential rhythmicity), classifying each feature as gain-of-rhythm, loss-of-rhythm,…
Discovers periodic signals of unknown period in time-series omics data using Lomb-Scargle periodograms (scipy), autocorrelation, and wavelet time-frequency decomposition (pywt).
Use when troubleshooting Bknd issues, debugging errors, fixing common problems, or diagnosing why something isn't working.
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