Skill UI

This skill acts as a composite CI gate for infrastructure cost monitoring. It runs four parallel checks: budget limits, burn rate acceleration, statistical anomalies, and budget exhaustion projections. It returns a single combined health status with the maximum exit code from all subchecks. Useful for DevOps pipelines to prevent overspending. Supports CLI customization for thresholds and skipping specific checks.

This skill generates a comprehensive cost report detailing token usage and USD expenses categorized by agent and model. It calculates budget utilization, checks alert thresholds, and provides a breakdown by tier and model type. Useful for monitoring AI spending and ensuring budget compliance.

This tool guides the creation of actionable monitoring dashboards for observability platforms like Grafana and SigNoz. Instead of merely displaying raw metrics, it focuses on structuring data to answer critical operational questions: Is the system healthy? Where are the bottlenecks? What changes occurred? And what action should be taken? It transforms raw metrics into decision-making tools.

Build a production-ready, AI-powered data collection agent for any public source (job boards, prices, news, etc.). This agent automatically scrapes data, enriches it using free LLMs (like Gemini Flash), and stores the results in databases such as Notion, Sheets, or Supabase. It runs on a free schedule using GitHub Actions and learns from user feedback, making it ideal for continuous data monitoring and tracking.

Scan project dependencies for known CVEs and outdated packages using npm audit and security CLI tools. Covers severity triage, safe opt-in auto-fix workflow, and continuous monitoring hooks before releases or after lockfile changes.

This skill provides comprehensive operational controls for long-lived, cloud-hosted agent workloads. It manages the entire lifecycle—from deployment and scaling to observability and security. Features include detailed monitoring (logs, metrics, traces), safety controls (kill switches, least privilege), and robust change management processes (rollout, rollback, auditing). Ideal for mission-critical microservices and background agents.

Manage GitHub repositories effectively through issue triaging, PR reviews, and CI/CD workflow debugging. Automate release management and security monitoring using the GitHub CLI. Ideal for maintaining open-source project health and developer experience.

This tool provides a structured way to run predefined, periodic background workers (e.g., security audits, performance optimization, memory consolidation). It utilizes native scheduling mechanisms to automatically dispatch and re-schedule tasks within a session, ensuring continuous system maintenance and optimal performance monitoring.

A comprehensive, end-to-end playbook designed for software engineers and AI agents. It provides a structured methodology to safely introduce machine learning capabilities into existing, non-ML codebases. The process covers critical stages: problem framing, data readiness, architectural decoupling (using dedicated APIs/services), baseline model implementation, and final handoff to MLOps practices (CI/CD, monitoring).

Uses the Monitor tool to stream real-time events from a swarm system instead of inefficient polling. It provides live observability for key actions like agent spawns, task completions, memory writes, and health status. This is ideal for continuous monitoring and debugging of complex, distributed processes.

Automate network device management via SSH using Netmiko. This skill provides scripts and examples for configuring, monitoring, and troubleshooting network devices such as routers and switches. Ideal for network engineers and IT professionals seeking efficient, reliable network automation.

This guide provides a comprehensive workflow for searching and retrieving biomedical literature from PubMed and NCBI. It covers advanced query construction using MeSH terms and specific field tags, advanced filtering (date, publication type), and a repeatable programmatic workflow using NCBI E-utilities (esearch, efetch). Essential for researchers conducting systematic reviews and literature monitoring.