Monitoring
Logging, metrics, and observability
Uses and selection guide
Use these skills to automate builds, delivery and infrastructure maintenance. Read which commands change remote resources, check provider compatibility and review rollback steps before running a deployment workflow.
performance-analysis
by ruvnet
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
ccboard
by FlorianBruniaux
Comprehensive TUI/Web dashboard for Claude Code monitoring
render-monitor
by render-oss
Monitor Render services in real-time. Check health, performance metrics, logs, and resource usage. Use when users want to check service status, view metrics, monitor performance, or verify deployments are healthy.
index-refresh
by paperclipai
Use when an LLM Wiki operation issue requests an index refresh. Rebuild wiki/index.md from the actual wiki tree, reconcile missing/deleted entries, and log counts without editing page bodies.
chat-perf
by microsoft
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
otel
by microsoft
OpenTelemetry instrumentation for the Copilot Chat extension — covers the four agent execution paths, the IOTelService abstraction, span/metric/event conventions, and the relationship between code and the user/developer monitoring docs. Use when adding/changing OTel spans, metrics, or events; instrumenting a new agent surface; touching the Copilot CLI bridge or Claude span emission; or updating extensions/copilot/docs/monitoring/agent_monitoring*.md.
metrics-tracking
by anthropics
Define, track, and analyze product metrics with frameworks for goal setting and dashboard design. Use when setting up OKRs, building metrics dashboards, running weekly metrics reviews, identifying trends, or choosing the right metrics for a product area.
agent-evaluation
by sickn33
Testing and benchmarking LLM agents including behavioral testing,
agent-orchestration-multi-agent-optimize
by sickn33
"Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability."
context-status
by brycewang-stanford
Show current context status and session health. Use to check how much context has been used, whether auto-compact is approaching, and what state will be preserved.
debug-issue-with-datadog
by langfuse
Establish root cause by combining Datadog telemetry with the Langfuse repo. Use when investigating or triaging a user report, Linear or GitHub issue, incident, or pasted production error.
datadog-query-recipes
by langfuse
Research Langfuse production telemetry with reusable Datadog queries. Use for tenant or project activity, API usage, queue behavior, spans, logs, metrics, or ad hoc measurements across production regions; pair with debug-issue-with-datadog for root-cause analysis.
incident-alert-tickets
by langfuse
Read and, after human approval, update the Linear incident-alert knowledge base. Use before and after investigating a named Datadog monitor, incident.io alert or incident, or on-call page to find or record root causes.
weekly-production-review
by langfuse
Prepare Langfuse weekly production reviews covering failures, fixes, open issues, and tracking gaps. Use for "what broke last week," production bugs, Datadog alerts or error patterns, incident.io activity, or pager load.
watchers
by NousResearch
Poll RSS, JSON APIs, and GitHub with watermark dedup.
bloom-tutor
by Li-Evan
Use when 用户想以一对一苏格拉底导师的方式系统学习一个课题——开一门新课、推进课题的下一篇、提交学习反馈或说「我读完了」、或整理/查看学习日志。基于 Bloom 2 Sigma 的交互式学习系统。触发词：开个文件夹学X、我想学X、帮我学X、继续、下一篇、我读完了、整理学习、查看学习日志、interactive Socratic tutoring、Bloom 2 sigma learning。
test-tui
by openai
Guide for testing Codex TUI interactively
azure-ai-anomalydetector-java
by microsoft
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
tracing
by langwatch
Add LangWatch tracing and observability to your code. Use for both onboarding (instrument an entire codebase) and targeted operations (add tracing to a specific function or module). Supports Python and TypeScript with all major frameworks.
eval-triage
by langwatch
Investigate failing experiments and evaluations with LangWatch. Triage a failing experiment run to the exact rows and evaluator scores that regressed, then to a root cause. Use when an experiment fails, scores drop, or evaluations regress.
agent-best-practices
by langwatch
Expert AI engineering consultant for your agent development practices. Audits your codebase, traces, evaluations, and scenarios against best practices, then guides you to close the gaps, starting from low-hanging fruit and going deeper. Use when you want to level up your agent's engineering quality.
cloudwatch
by itsmostafa
AWS CloudWatch monitoring for logs, metrics, alarms, and dashboards. Use when setting up monitoring, creating alarms, querying logs with Insights, configuring metric filters, building dashboards, or troubleshooting application issues.
analyzing-linux-system-artifacts
by mukul975
Examine Linux system artifacts including auth logs, cron jobs, shell history, and system configuration to uncover
adding-activity-logging
by PostHog
Adds or changes activity logging (the audit trail) for a Django model in PostHog. Use when a model's writes must show in the Activity side panel or the advanced activity logs, when adding ModelActivityMixin, an ActivityScope, a model_activity_signal receiver, an activity describer, or field exclusions, when auditing which write paths of a model are logged, or when a change is missing from the activity log. Covers the receiver-module convention, writes the signal cannot see (QuerySet.update, bulk_create), the actor outside requests, and product models on a separate database. Trigger terms - activity log, audit log, audit trail, ModelActivityMixin, log_activity, changes_between, activity describer, who changed this.