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Best Monitoring Skills for AI Agents
525 Monitoring skills for AI coding assistants — ranked by popularity.
This collection provides modular SKILL.md files designed to give AI agents capabilities in system monitoring, data visualization, and automated testing. For developers working with infrastructure or application performance, these tools act as plugins for Claude Code, Codex, or Cursor. You can deploy agents that generate production Grafana dashboards, parse Cisco configuration files into Draw.io network diagrams, or extract actionable insights from application logs. Beyond technical infrastructure, the library includes specialized agents for health data syncing via Garmin Connect and home automation management through Home Assistant. Whether you need to build custom HTML KPI dashboards for stakeholders or automate QA testing in a browser environment, these skills provide the functional building blocks. By integrating these agents into your workflow, you offload routine observation tasks and reporting to your AI assistant, allowing you to focus on resolving the underlying issues identified by the monitoring tools.
Top Monitoring skills
grafana-dashboards
wshobson
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
dashboard-creator
mhattingpete
Create 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.
cisco-network-diagram
neuro-synapse
Generate Draw.io network topology diagrams from Cisco router and switch configurations. Use when asked to visualize network topology, create network diagrams, map network infrastructure, or generate visual representations from Cisco device configs. Supports parsing show commands, configuration files, CDP/LLDP neighbor data, and routing protocol information to automatically create professional network diagrams.
qa-tester
svilupp
Browser automation QA testing skill. Systematically tests web applications for functionality, security, and usability issues. Reports findings by severity (CRITICAL/HIGH/MEDIUM/LOW) with immediate alerts for critical failures.
analyzing-logs
jeremylongshore
Analyze application logs to detect performance issues, identify error patterns, and improve stability by extracting key insights.
screenshot
davila7
Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed.
home-assistant-manager
komal-SkyNET
Expert-level Home Assistant configuration management with efficient deployment workflows (git and rapid scp iteration), remote CLI access via SSH and hass-cli, automation verification protocols, log analysis, reload vs restart optimization, and comprehensive Lovelace dashboard management for tablet-optimized UIs. Includes template patterns, card types, debugging strategies, and real-world examples.
postmortem-writing
wshobson
Write effective blameless postmortems with root cause analysis, timelines, and action items. Use when conducting incident reviews, writing postmortem documents, or improving incident response processes.
cto-engineering-metrics
rinaldofesta
Expert methodology for defining, tracking, and interpreting engineering performance metrics including DORA, team health, productivity, and executive reporting.
distributed-tracing
wshobson
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
protocol-reverse-engineering
wshobson
Master network protocol reverse engineering including packet analysis, protocol dissection, and custom protocol documentation. Use when analyzing network traffic, understanding proprietary protocols, or debugging network communication.
service-mesh-observability
wshobson
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.
equilateral-agents
Equilateral-AI
22 production-ready AI agents with database-driven orchestration for security reviews, code quality analysis, deployment validation, infrastructure checks, and compliance. Auto-activates for security concerns, deployment tasks, code reviews, quality checks, and compliance questions. Includes upgrade paths to enterprise features (GDPR, HIPAA, multi-account AWS, ML-based optimization).
sentry
openai
Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.
observability-engineer
sickn33
Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows. Use PROACTIVELY for monitoring infrastructure, performance optimization, or production reliability.
email-systems
davila7
Email has the highest ROI of any marketing channel. $36 for every $1 spent. Yet most startups treat it as an afterthought - bulk blasts, no personalization, landing in spam folders. This skill covers transactional email that works, marketing automation that converts, deliverability that reaches inboxes, and the infrastructure decisions that scale. Use when: keywords, file_patterns, code_patterns.
model-usage
openclaw
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
prometheus-configuration
wshobson
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
langfuse
davila7
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.
obsidian-incident-runbook
jeremylongshore
Troubleshoot Obsidian plugin failures with systematic incident response. Use when plugins crash, data is corrupted, or users report critical issues with your Obsidian plugin. Trigger with phrases like "obsidian crash", "obsidian plugin broken", "obsidian incident", "debug obsidian failure", "obsidian emergency".
aggregating-crypto-news
jeremylongshore
Aggregate breaking cryptocurrency news from 50+ sources including CoinDesk, CoinTelegraph, The Block, and Decrypt. Use when needing to monitor crypto market news, track announcements, or find coin-specific updates. Trigger with phrases like "get crypto news", "latest Bitcoin headlines", "DeFi announcements", "scan for breaking news", or "check crypto updates".
analytics-tracking
davila7
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," or "tracking plan." For A/B test measurement, see ab-test-setup.
qa-expert
daymade
This skill should be used when establishing comprehensive QA testing processes for any software project. Use when creating test strategies, writing test cases following Google Testing Standards, executing test plans, tracking bugs with P0-P4 classification, calculating quality metrics, or generating progress reports. Includes autonomous execution capability via master prompts and complete documentation templates for third-party QA team handoffs. Implements OWASP security testing and achieves 90% coverage targets.
slo-implementation
wshobson
Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.
How to choose a Monitoring skill
Evaluate these skills based on the output format and the specific monitoring environment you need to manage. Check the maintainer details to ensure the skill aligns with your technical stack, such as Cisco networking or browser-based QA. Look at whether the skill focuses on live visualization, like Grafana and dashboard creators, or data extraction, such as log analysis and health syncing. Confirm if the agent produces persistent files, like markdown reports or diagrams, or if it executes active commands on your local network or testing environment.
More Monitoring skills
+405 more — browse all skills.