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Observability (Page 6 of 7)

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

386 skills · updated 2026-07-27 · showing 301–360 of 386 by quality score

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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…
Use when configuring, writing, or debugging Stove end-to-end tests; choosing JVM, process, container, or provided-application runners; wiring Stove systems; enabling tracing,…
Structured logging for Python applications with context support and powerful processors
Modern, powerful structured logging for Python using structlog. Use when adding or improving logging in Python projects, configuring structlog for dev/production, working with…
Guide for writing effective log messages using wide events / canonical log lines. Use when writing logging code, adding instrumentation, improving observability, or reviewing log…
Implement JSON-based structured logging for observability. Use when setting up logging, debugging production issues, or preparing for log aggregation (ELK, Datadog).
Use when designing log schemas, choosing JSON vs text logs, setting up correlation IDs across services, redacting PII, controlling log volume costs, or wiring logs into…
Design a structured (JSON) logging strategy with a stable field schema, correlation-ID propagation, and a disciplined level policy — then migrate ad-hoc string logs toward it.
Logging system design guide covering centralized architecture, field standards, and distributed tracing.
Plans changes by inserting structured temporary stub comments and then replacing them with real code in a second pass.
Review Go code for style, idioms, naming, comments, and project conventions — including error handling style, context propagation, logging conventions, package comments, YAML tag…
Create, edit, and convert Excel workbooks (.xlsx/.xls) using Syncfusion XlsIO. Supports two modes — generate C# code for the user's project, or execute a temporary CSX script.
Implement synthetic monitoring and automated testing to simulate user behavior and detect issues before users.
Linux syslog integration for agent audit logging. Write structured events to /dev/log via UDP syslog, severity levels (EMERG→DEBUG), facility codes, RFC5424 format, and forwarding…
A high-performance Agent subsystem for complex multi-agent orchestration. It provides a visual workflow canvas (OASIS) to coordinate OpenClaw agents, automated computer use tasks,…
Unified delegation and temporal-calibration protocol. Use when delegating bounded implementation work to a worker model (Codex Spark 5.3 at xhigh or medium reasoning) while the…
Help developers use Temporal for durable execution workflows. Covers CLI commands, SDK patterns (Go, TypeScript, Python, Java), workflow orchestration, and architectural decisions.
Develop, debug, and manage Temporal applications across Python, TypeScript, Go, and Java. Use when the user is building workflows, activities, or workers with a Temporal — from…
Temporal is an open-source durable execution platform that lets developers build scalable, fault-tolerant workflows.
Keep Temporal Python Workflows deterministic across deployments using patching/worker versioning and replay tests.
Expert in temporary license agreements for very short-term occupancy (1 day to 3 months) that avoid creating landlord-tenant relationships.
Applies systematic tracing and isolation techniques to pinpoint exactly where a bug originates in code.
Debug a codegen issue by tracing from wrong Python output back through the graph to the root cause. Identifies whether the bug is in primitive definitions, type resolution, or…
Trace function call hierarchies, dependencies, side effects, and symbol relationships using LCI. 以LCI追蹤函數調用層次、依賴、副作用、符號關係。 Use when: understanding function before modifying,…
You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools.
Upgrade OpenTelemetry instrumentations across the Sentry JavaScript SDK. Use when bumping OTel instrumentation packages to their latest versions.
Uptime Kuma is an open source uptime monitor for HTTP, TCP, ping, DNS, Docker, and keyword checks. It gives agents a concrete way to create, update, and review monitors,…
Applies the manual stack-trace pattern for Visual Basic 6 based on EnterMethod/ExitMethod calls that push and pop method names from a module-level array.
Use when preparing, running, debugging, post-processing, or extending VibeFlow/VibeCAE SU2 CFD, heat-transfer, adjoint, deformation, and optimization workflows from…
Graceful-failure essentials for a website — custom error pages with correct status codes, 503 maintenance pages, graceful degradation without JavaScript, web app manifest, and…
Automating the macOS desktop via AppleScript, JXA, and osascript. Controls native apps (Finder, Mail, Safari, Calendar, Notes, Music, System Events) through Apple Events, scripts…
Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checki — from…
Zabbix monitoring system automation via API and Python. Use when: (1) Managing hosts, templates, items, triggers, or host groups, (2) Automating monitoring configuration, (3)…
MUST USE when writing any Python code with aerospike-py or aerospike_py. This is a Rust/PyO3 library with UNCONVENTIONAL patterns that differ from typical Python clients —…
Use this skill when designing, writing, configuring, or debugging a new phased executor task for the Myco agent harness — even if the user doesn't explicitly ask for a "task…
Automate contract review and monitoring with Box MCP — identify new contracts added since last review period using metadata or keyword search, compare contracts against standard…
Generates Logging Query Language (LQL) queries for Google Cloud Logging from natural language. Use this skill when you need to query log data or when you are debugging issues.
This skill enables Claude to monitor database health using real-time metrics, predictive alerts, and automated remediation.
Use this skill when debugging is complete and the user wants to stop accumulating large trace logs — trigger words \"turn off debug\", \"stop verbose\", \"disable trace\", \"debug…
Provides systematic debugging methodology for thorough root cause analysis with evidence-based investigation.
This skill automates the setup of distributed tracing for microservices. It helps developers implement end-to-end request visibility by configuring context propagation, span…
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