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Found 776 Skills
Full Sentry SDK setup for Go. Use when asked to "add Sentry to Go", "install sentry-go", "setup Sentry in Go", or configure error monitoring, tracing, logging, metrics, or crons for Go applications. Supports net/http, Gin, Echo, Fiber, FastHTTP, Iris, and Negroni.
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.
Error tracking and monitoring integration. Sentry, Datadog RUM, Bugsnag. Source maps, breadcrumbs, release tracking, performance monitoring, and alerting configuration. USE WHEN: user mentions "Sentry", "error tracking", "Bugsnag", "Datadog RUM", "crash reporting", "source maps", "release tracking", "error monitoring" DO NOT USE FOR: application logging - use logging skills; APM/tracing - use `opentelemetry`; structured error responses - use `error-handling`
System administration expert for Linux, macOS, Windows, services, and monitoring
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
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".