Skill UI

Automatically checks application metrics such as load times, bundle sizes, and API responses against predefined performance budgets, surfacing regressions and preventing slippage before deployments—ideal for CI/CD workflows.

This comprehensive guide outlines the core principles for developing immersive Virtual and Augmented Reality (VR/AR) applications. It covers critical aspects such as platform selection (Quest, ARKit, ARCore), mandatory performance metrics (FPS, frame budget), user comfort techniques (motion sickness prevention), and best practices for spatial interaction and world design. Essential reading for engineers building next-generation spatial computing experiences.

Runs AgentHub's init→baseline→spawn→eval→merge workflow in one command, letting teams define tasks, agents, metrics, and templates to automate evaluation and merging the winning agent.

A comprehensive guide to using k6 for robust performance and load testing across APIs, WebSockets, and browser scenarios. Learn to write realistic load simulations (smoke, load, stress, soak), analyze performance metrics, set SLAs, and integrate testing into CI/CD pipelines to ensure system reliability before deployment.

Deploy DefectDojo as a centralized vulnerability dashboard that aggregates scanner results, deduplicates findings, tracks metrics, and feeds Jira/CI/CD workflows for security teams.

Structured facilitation of post-incident reviews that captures timelines, successes, failures, root causes, response metrics, and actionable improvements to strengthen future incident response.

Analyzes Zeek conn.log intervals with ZAT to compute jitter metrics and flag low-variance periodic connections, helping SOC analysts hunt for command-and-control callbacks and validate monitoring coverage.

Apply frequency analysis, jitter metrics, and coefficient-of-variation scoring to Zeek/proxy logs and SIEM data to surface periodic C2 beaconing, enrich with threat intelligence, correlate endpoints, and prioritize high-risk callbacks during threat hunting.

This skill automates the execution of red team phishing campaigns using the Python gophish library. It enables users to create sophisticated email templates with tracking pixels, configure SMTP profiles, import target lists from CSV, and launch full-scale simulations. The system tracks key metrics, including open rates, click rates, and submitted credentials, providing essential data for security awareness training and vulnerability assessments.

AgentHub spawns parallel git worktree agents that compete on tasks, evaluates their outputs via metrics or LLM judges, and merges the top branch for optimizations, research, or content variations.

Executes a structured VC valuation workflow that ingests SaaS or startup metrics, runs DCF, comparable revenue multiples, and SaaS health models via Python, and synthesizes a defensible valuation, runway, and capital-efficiency narrative for users planning fundraising or benchmarking.

A lightweight CLI tool for systematically comparing various coding AI agents (such as Claude Code, Aider, and Codex) head-to-head. It measures crucial metrics—pass rate, API cost, execution time, and consistency—on reproducible tasks defined via YAML manifests. Use this to objectively select the best agent for your codebase or to validate model updates before production deployment.