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Found 1,595 Skills
Prometheus monitoring and alerting for cloud-native observability. USE WHEN: Writing PromQL queries, configuring Prometheus scrape targets, creating alerting rules, setting up recording rules, instrumenting applications with Prometheus metrics, configuring service discovery. DO NOT USE: For building dashboards (use /grafana), for log analysis (use /logging-observability), for general observability architecture (use senior-software-engineer with infrastructure focus). TRIGGERS: metrics, prometheus, promql, counter, gauge, histogram, summary, alert, alertmanager, alerting rule, recording rule, scrape, target, label, service discovery, relabeling, exporter, instrumentation, slo, error budget.
Setup Sentry Tracing (Performance Monitoring) in any project. Use when asked to enable tracing, track transactions/spans, measure latency, or add performance monitoring. Supports JavaScript, Python, and Ruby.
Monitor Nx Cloud CI pipeline and handle self-healing fixes. USE WHEN user says "monitor ci", "watch ci", "ci monitor", "watch ci for this branch", "track ci", "check ci status", wants to track CI status, or needs help with self-healing CI fixes. ALWAYS USE THIS SKILL instead of native CI provider tools (gh, glab, etc.) for CI monitoring.
Operational security guidance for deployment, monitoring, and maintenance. Use this skill when you need to understand which middlewares to apply, configure environment variables, monitor security post-deployment, or follow the pre-deployment checklist. Triggers include "security operations", "deployment security", "security monitoring", "environment variables", "when to use middleware", "pre-deployment", "security checklist", "production security".
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.
Get system information: CPU, memory, disk, network, processes. Useful for monitoring, debugging, and system analysis. No API key required.
Monitor current news and reaction signals, then decide which are credible newsjacking opportunities for a client. Uses the local monitoring engine for evidence, but the skill owns PR judgment, brand safety, standing, decay, angle fit, and handoff.
Macro liquidity monitoring and risk early-warning system. By tracking 4 core indicators (Fed Net Liquidity, SOFR Overnight Financing Rate, MOVE Treasury Volatility Index, Yen Carry Trade Signals), it provides real-time assessment of liquidity conditions in the global financial system, outputting liquidity ratings and risk response recommendations. When users mention topics such as liquidity, Fed balance sheet reduction (QT), TGA account, reverse repo ON RRP, SOFR rate, MOVE index, Treasury volatility, yen carry trade, USDJPY and interest rate differentials, impact of QT on markets, whether money is tight, liquidity inflection points, tightening financial conditions, etc., this skill should be used. Even if users ask broadly "how is liquidity right now" or "is the Fed draining or injecting liquidity," this skill should be triggered to provide a structured analytical framework.
Router skill for LLMQuant credit workflows. Use when the user needs issuer credit review, spread regime analysis, high-yield stress monitoring, default risk, debt maturity, or covenant context.
Listen for one or more IMAP inboxes with the IDLE command, fetch unread email metadata plus text previews, and forward each message to OpenClaw webhooks. Use when tasks need near-real-time mailbox monitoring, multi-account inbox ingestion via environment variables, and automatic trigger delivery into OpenClaw automation.
Grafana Cloud Database Observability — query-level performance insights for MySQL and PostgreSQL. Covers setup with Grafana Alloy, query samples, visual explain plans, RED metrics, pg_stat_statements and Performance Schema integration, and correlation with application traces. Use when monitoring database performance, diagnosing slow queries, setting up database observability for MySQL or PostgreSQL (self-managed, RDS, Aurora, Azure, Cloud SQL), or correlating DB metrics with APM data.
Expert Celery distributed task queue engineer specializing in async task processing, workflow orchestration, broker configuration (Redis/RabbitMQ), Celery Beat scheduling, and production monitoring. Deep expertise in task patterns (chains, groups, chords), retries, rate limiting, Flower monitoring, and security best practices. Use when designing distributed task systems, implementing background job processing, building workflow orchestration, or optimizing task queue performance.