Results for “performance-monitoring”
76 skillsperformance-engineer
Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance monitoring. Handles end-to-end optimization, real user monitoring, and scalability patterns. Use PROACTIVELY for performance optimization, observability, or scalability challenges.
23
azure
Deploy, monitor, and manage Azure services with battle-tested patterns covering cost, security, networking, performance, monitoring, IaC, and identity.
10 · bundle
power-bi-performance-troubleshooting
Systematically diagnose and resolve performance issues in Power BI models, reports, and queries using a structured troubleshooting methodology.
36.2k
ads-monitor
Monitor paid-ad account pacing, delivery, performance, creative fatigue, tracking, policy, and data quality across supported platforms for daily or weekly checks, anomaly review, budget pacing, post-launch verification, or campaign monitoring.
observability-engineer
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.
23
auto-evolve
Continuously monitors system performance, identifies improvement opportunities, and orchestrates skill discovery and creation to autonomously evolve capabilities.
10
More results
sentry-mcp-server
Connects error monitoring to MCP clients, enabling issue search, stack trace analysis, performance investigation, and AI-powered root cause analysis.
28
ml-monitoring
Monitor a live model for data quality, input and prediction drift, performance decay, and fire retraining triggers.
0
apm-setup
Set up application performance monitoring tools. TRIGGERS - Use when user needs help with apm-setup related tasks.
22
apm-setup
Set up application performance monitoring tools. TRIGGERS - Use when user needs help with apm-setup related tasks.
3
cloud-monitoring
Monitor cloud infrastructure and applications using metrics, logs, and traces to provide real-time observability into performance, health, and reliability. Use when the user requests cloud monitoring or provides relevant inputs for this workflow.
159
google-cloud-waf-performance-optimization
Evaluates Google Cloud workloads against the Performance Optimization pillar of the Well-Architected Framework, providing actionable recommendations for resource allocation, modular design, elasticity, and monitoring.
14.4k
03-performance
Optimizes Dify workflows and plugins by restructuring graphs, reducing LLM token usage, tuning worker pools, and improving parallel processing.
34 · bundle
azure-sql
Manages and analyzes Azure SQL databases via Azure CLI, covering DTU/vCore performance, elastic pools, geo-replication, and health monitoring.
7
performance-benchmarking
Use when evaluating, measuring, or comparing the performance of systems, functions, or services. This skill provides a framework for establishing baselines, measuring performance, and validating that changes meet performance requirements.
0
cpu
Monitor CPU load, per-core usage, and rank top resource-consuming processes. Use when checking temperatures, ranking processes, tracking load.
12 · bundle
performance-profiling
Performance profiling principles. Measurement, analysis, and optimization techniques.
3 · bundle
caching
Implements multi-level caching with strategies for invalidation, stampede prevention, and performance monitoring.
1
performance-profiler
Performance Profiler
3 · bundle
benchmark
Measures performance baselines, detects regressions before and after PRs, and compares stack alternatives.
1
benchmark
Measure performance baselines, detect regressions before and after PRs, and compare stack alternatives using browser, API, and build benchmarks.
226k
benchmark
Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
1
benchmark
Performance regression detection using the browse daemon. (gstack)
0
benchmark
Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
0
profiling
`task-agent`/`review-agent`: use when CPU, memory, I/O, database, network, rendering, or cost needs measured bottleneck evidence; skip without a profiling need.
4 · bundle
performance-optimizer
Use this when the team needs to improve latency, throughput, render performance, query speed, worker throughput, or resource usage across frontend, backend, database, or background systems.
0
performance
Use for identifying and resolving performance bottlenecks.
3
ivx-cf-benchmarking
Design and execute performance benchmarks for models and systems. Use when measuring throughput, latency, or comparing system variants.
0 · bundle
performance-optimizer
Transform the agent into a performance engineer. Apply methodologies for measuring, profiling, and optimizing code (caching, algorithm complexity, resource usage).
2
self-monitor
Proactive self-monitoring of infrastructure, services, and health. Tracks disk/memory/load, service health, cron job status, recent errors. Auto-fixes safe issues. Triggers on: health check, heartbeat, monitor status, service status, infrastructure check.
6 · bundle
qdrant-monitoring-debugging
Diagnoses Qdrant production issues using metrics and observability tools, covering optimizer problems, memory spikes, and slow queries.
36.2k
qdrant-monitoring
Guides monitoring and observability setup for Qdrant vector search deployments, including Prometheus scraping, health checks, and metric-based debugging of production issues.
36.2k
sla-monitor
Design SLA monitoring with alerts, dashboards, and reporting. TRIGGERS - Use when user needs help with sla-monitor related tasks.
22
sla-monitor
Design SLA monitoring with alerts, dashboards, and reporting. TRIGGERS - Use when user needs help with sla-monitor related tasks.
3
performance-profiler
Systematically profile Node.js, Python, and Go applications to identify CPU, memory, and I/O bottlenecks, generate flamegraphs, analyze bundle sizes, optimize database queries, and run load tests with k6 and Artillery.
20.4k · bundle
benchmark
Performance regression detection using the browse daemon. Establishes baselines for page load times, Core Web Vitals, and resource sizes. Compares before/after on every PR. Tracks performance trends over time. Use when: "performance", "benchmark", "page speed", "lighthouse", "web vitals", "bundle size", "load time". (gstack) Voice triggers (speech-to-text aliases): "speed test", "check performance".
0