Use Strands Agents to assemble model-agnostic Python or TypeScript agent harnesses with tools, MCP, guardrails, tracing, streaming, and provider swaps.
Build Kubernetes observability stacks with Prometheus, Grafana, OpenTelemetry, Jaeger, and Loki. Use when implementing metrics, tracing, logging, SRE practices, or cost…
Use when building AI agents with OpenAI's Agents SDK. Triggers include creating agents, implementing tools, multi-agent handoffs, guardrails, MCP integration, tracing.
Use when building AI agents with OpenAI's Agents SDK. Triggers include creating agents, implementing tools, multi-agent handoffs, guardrails, MCP integration, tracing.
Configure Grafana Loki logging using byteforge-loki-logging library for Python/Flask applications. Use when setting up Loki logging, configuring centralized logging, or adding…
Configure Prometheus metrics for Python/Flask applications with multi-worker gunicorn safety and optional Redis-backed business metrics.
Trace Elixir call trees from entry points via mix xref. Use when debugging data flow, planning signature changes, or understanding how a bug reaches code.
Handle Canva Connect API rate limits with backoff, queuing, and monitoring. Use when hitting 429 errors, implementing retry logic, or optimizing API request throughput for Canva…
Check Python logging levels and patterns for correctness. Focus on identifying wrong severity levels and missing exception handling. Use when reviewing code quality.
An ASE skill built on Checkmate, the open source self-hosted monitoring platform for uptime, incidents, response times, and infrastructure visibility.
Develop, fix, and profile Cherry Studio in a tracked Electron instance. Use for everyday implementation, UI and interaction work, bug fixing, runtime debugging, DevTools…
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring ne — from…
Debug and analyze web applications using Chrome DevTools MCP. Use for console log inspection, network request monitoring, performance analysis, and debugging authenticated…
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring ne — from…
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring ne — from…
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring ne — from…
Autonomous CI fix loop with background monitoring and retry logic. Runs up to 10 fix-commit-push-wait cycles until CI passes or max retries reached.
Query PyTorch CI, GitHub Actions, HUD, Grafana, and infrastructure metrics. Use when users ask about CI duration, job failures, queue times, workflow trends, runner health,…
Use after creating PR - monitor CI pipeline, resolve failures cyclically until green or issue is identified as unresolvable
CI/CD pipeline monitoring and polling. Use PROACTIVELY when user pushes code, creates PR/MR, mentions "wait for CI", "check the build", "monitor pipeline", "watch workflow", or…
Repeatable workflow for monitoring CI check status, tracking PR merge-readiness, and verifying auto-merge success using the gh CLI.
Optimize Anthropic API costs — model selection, prompt caching, batches, Use when working with cost-tuning patterns. token reduction, and usage monitoring.
Emit low-cost debug telemetry for skill-listing batches that records batch size, initial-vs-dynamic mode, and cumulative sent count without logging the payload body.
Claude Code internals - hooks, skills, subagents, headless mode, and debugging, current as of June 2026.
Safe removal of unnecessary variables during code review and refactoring. Use when simplifying code, inlining temporary or single-use variables, or removing redundant aliases,…
Implement monitoring, logging, and observability for Clerk authentication. Use when setting up monitoring, debugging auth issues in production, or implementing audit logging.
Use when a user wants to wire an OpenTelemetry collector into a Managed ClickStack service on ClickHouse Cloud, either by deploying a new local collector (Docker run or Docker…
Optimize ClickUp API usage costs through plan selection, request reduction, caching, and usage monitoring.
Handle ClickUp API rate limits with backoff, queuing, and header monitoring. Use when hitting 429 errors, implementing retry logic, or optimizing API throughput against ClickUp's…
Systematic debugging with root cause tracing. Use when encountering bugs, test failures, or unexpected behavior - find root cause before attempting fixes, trace backward through…
Analyze code complexity, cyclomatic complexity, maintainability index, and code churn using metrics tools.
Understand unfamiliar code quickly by tracing real execution paths rather than reading files in order.
Collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases.
Troubleshoot systematically using the Scientific Method. Use when debugging crashes, tracing errors, diagnosing unexpected behavior, or investigating exceptions.
Token-efficient JS/TS code investigation. Use when exploring unfamiliar code, tracing symbol usage, understanding a file before editing, debugging cross-file behavior, or…
Configure OpenTelemetry distributed tracing, metrics, and logging in ASP.NET Core using the .NET OpenTelemetry SDK.
Global hooks for logging Claude Code conversation events to markdown files. Tracks prompts, tool usage, and responses across all sessions.
Unify metrics, logs, and traces for cohesive debugging. Implement exemplars for log-to-trace linking, build unified dashboards using RED/USE methods, and enable rapid root cause…
Implement distributed tracing with correlation IDs, trace propagation, and span tracking across microservices.
Explain why counterexamples violate specifications by analyzing formal specifications (temporal logic, invariants, pre/postconditions, code contracts), informal requirements (user…
Android Crash/ANR/結構化日誌的「實作層」 — Firebase Crashlytics 33.x、Custom Signals/OnFatalException、Android 14 ANR Watchdog（含 foreground threshold）、Memory Warning、Timber、Play Console +…
Schedule and manage recurring tasks with cron and systemd timers. Use when setting up cron jobs, writing systemd timer units, handling timezone-aware scheduling, monitoring failed…
Unified JSON logging across Next.js, Python, and Firebase Functions using Pino and structlog. PROACTIVELY activate for: (1) Setting up structured logging, (2) Configuring Pino for…
Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments distributed tracing — from…
Defines service level objectives, creates error budget policies, designs incident response procedures, develops capacity models, and produces monitoring configurations an — from…
Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checki — from…
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,…
Analyze and resolve Sentry comments on GitHub Pull Requests. Use this when asked to review or fix issues identified by Sentry in PR comments.
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…
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\",…
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…
Executes DAG workflows with parallel wave processing, agent spawning, context isolation, permission enforcement, and full execution tracing.
Migrate a fleet of hand-built monitoring dashboards into version-controlled code with a MACHINE-CHECKED equivalence proof.
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observabili — from…
Interfaces with the Datadog API v2 monitors and dashboards endpoints to programmatically create and manage monitors.
Synchronizes Datadog monitor definitions between environments using the Datadog API v2 monitors endpoint.
Use when diagnosing Apex behavior with debug logs, choosing log levels, or replacing `System.debug` habits with structured production logging and async job monitoring.
Debug hanging issues in SGLang distributed inference (TP/PP/DP/EP). Covers identifying hang locations via py-spy/watchdog/cuda coredump, per-rank logging to find state divergence,…
Add contextual logging to the exact call sites a bug passes through, run the repro, collect the logs, then REMOVE the logs.
Debug FlyDSL GPU kernels that produce NaN, inf, wrong results, or crash. Covers cache invalidation, tracing pitfalls (runtime conditionals, range vs range_constexpr), loop-carried…