Skill UI

This guide provides comprehensive methods for load testing and capacity planning of Vercel serverless deployments. Learn how to use professional tools like k6 and autocannon to simulate realistic traffic spikes, measure latency (P95, P99), analyze cold start impact, and tune concurrency settings (Fluid Compute) to ensure optimal application performance and scalability under heavy load.

A comprehensive tool for security professionals to enumerate and analyze malware persistence mechanisms across critical Windows Auto-Start Extensibility Points (ASEPs). It systematically scans registry run keys, scheduled tasks, services, drivers, and startup locations. Ideal for incident response, threat hunting, and validating the complete removal of malicious autostart entries.

This skill guides proactive security auditing and threat hunting for registry-based persistence artifacts (MITRE T1547) in Windows environments. It focuses on identifying mechanisms such as Run/RunOnce keys, Winlogon modifications, IFEO debugger injection, and COM hijacking to detect malware autostart techniques and scope compromises during incident response.

This skill detects persistence mechanisms by monitoring Windows startup directories for suspicious file creation (T1547.001). It utilizes real-time file system monitoring via Python watchdog, cross-references Autoruns entries, and analyzes file metadata to identify implants that survive system reboots. Essential for threat hunting and validating security monitoring coverage.

A quick reference guide for diagnosing and resolving common runtime and deployment errors encountered on the Fly.io platform. Covers issues such as health check failures, image build failures, machine startup issues, and connection refusals, providing specific diagnostic commands and configuration fixes.

This guide provides a comprehensive framework for investigating production issues on the Nexu platform using the Datadog Logs API. It details how to query crash events, analyze OpenClaw stderr output, check gateway startup status, and review API request logs (including 5xx errors). It includes best practices for authentication, filtering by pod/time, and parsing raw JSON logs using Python for actionable insights.

A comprehensive set of reusable patterns for structured incident triage in AWS environments. Includes pre-built Logs Insights queries for detecting errors, latency spikes, cold starts, and OOM events. Also provides systematic correlation methods linking CloudWatch alarms to deployment events, and a decision tree to narrow the blast radius scope from account to resource.

A comprehensive guide for researchers preparing academic artifacts for voluntary, post-acceptance evaluation (e.g., HPCA). It outlines best practices for structuring submissions for cold-start evaluators, defining reproducibility tiers (full reproduction, regeneration from logs, inspection), and managing computational budgets to successfully earn IEEE reproducibility badges.

A comprehensive guide for drafting and revising high-level microarchitecture papers for top-tier conferences. It mandates the rigorous 'four-beat argument' structure: starting with characterization evidence, defining the insight, detailing the mechanism, and completing with thorough cost accounting. This ensures the paper is a defensible engineering argument.