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Found 776 Skills
Monitor LLMs and agentic apps: performance, token/cost, response quality, and workflow orchestration. Use when the user asks about LLM monitoring, GenAI observability, or AI cost/quality.
Use this skill when implementing logging, metrics, distributed tracing, alerting, or defining SLOs. Triggers on structured logging, Prometheus, Grafana, OpenTelemetry, Datadog, distributed tracing, error tracking, dashboards, alert fatigue, SLIs, SLOs, error budgets, and any task requiring system observability or monitoring setup.
Use when user asks about blockchain data or building Web3 applications — token balances, NFT ownership, transaction history, ENS resolution, on-chain statistics, JSON-RPC calls, webhooks, real-time monitoring, or any Nodit API integration across EVM, Solana, Sui, Aptos, and other chains
Real-time monitoring and analytics platform for Pump.fun tokens on Solana using WebSockets, HTML/CSS/JS
Set up and run ongoing competitive intelligence monitoring for a client. Tracks competitor content, ads, reviews, social, and product moves.
Competitor intelligence system. Track competitors across Reddit, Twitter/X, and LinkedIn. Run one-time deep research to create competitor profiles, then automate daily/weekly monitoring with consolidated reports and actionable signals. Reports delivered as markdown files and via email.
Bitcoin mempool monitoring — check transaction confirmation status, retrieve address transaction history, and inspect current mempool state. Data sourced from mempool.space.
AI-powered blockchain monitoring agent with real-time monitoring of Uniswap V2, V3, and V4 most known pools. Track swaps, monitor specific liquidity pools by address, and receive intelligent insights
Use when the user wants to analyze EKS application logs during or after a FIS experiment. Triggers on "analyze app logs", "application log analysis", "check application behavior", "分析应用日志", "查看应用表现", "应用日志分析". Supports two modes: real-time monitoring (during experiment) and post-hoc analysis (after experiment). Reads experiment context from aws-fis-experiment-prepare/execute outputs.
Create Alibaba Cloud CMS alert rules via CLI (write-operation skill). Supports CMS 1.0 cloud resource monitoring for ALL CMS-integrated cloud products. This skill performs write operations: creating alert rules, contacts, and contact groups. Use when: creating monitoring alerts, setting up alarm rules, configuring CMS alert policies for any cloud product, or managing cloud monitoring notifications. Triggers: "create alert", "setup monitoring", "configure alarm", "CMS alert", "cloud monitor rule", "告警规则", "创建告警", "监控报警".
Execute a complete tax-loss harvesting workflow from candidate identification through post-harvest monitoring. Use when the user asks about finding TLH candidates, gain/loss budgeting, replacement security selection, wash-sale compliance, or harvest execution planning. Also trigger when users mention 'unrealized losses in my portfolio', 'swap ETFs for tax purposes', 'harvest losses before year-end', 'substantially identical security', 'wash-sale window', 'NIIT offset', 'loss carryforward', or ask how much tax they can save by harvesting.
SEO drift monitoring: capture baselines of SEO-critical elements, detect changes, and track regressions over time. Git for SEO — baseline, diff, and track changes to your on-page SEO. Use when user says "SEO drift", "baseline", "track changes", "did anything break", "SEO regression", "compare SEO", "before and after", "monitor SEO changes", or "deployment check".