Skill UI

This model provides an engineering operational framework for teams that leverage AI agents to generate large volumes of code. It shifts the focus from simple syntax to process quality, robust architecture design, rigorous testing, and systematic risk control, ensuring the development of highly stable and reliable systems in AI-assisted environments.

Use this command to set up a structured multi-agent collaboration environment within AgentHub. It allows you to define the core task, specify the required number of agents, and configure detailed evaluation criteria (metrics, directions, and commands) for both quantitative benchmarking and qualitative LLM judging. This is the starting point for any agent competition or complex AI workflow.

Production-grade toolkit that lets Claude Code agents scaffold Playwright configs, generate/review/fix end-to-end tests, migrate suites, sync with TestRail, and run BrowserStack reports.

Agent Analytics delivers CLI-first tracking, experimentation, and optimization so AI agents can monitor site traffic, run A/B tests, and measure funnels consistently across projects.

Validates SKILL.md files against the agentskills specification and Anthropic best practices, catching structure, semantic, naming, and quality issues in a single read-only pass before publishing or debugging skills.

Helps founders, RevOps, and GTM engineers turn manual revenue processes into reliable, observable automation by mapping tech stacks, designing workflow architectures, and orchestrating AI agents across platforms like n8n, Make, and Zapier.

This command executes the entire AgentHub lifecycle in a single, chained invocation. It automates complex development tasks by sequentially handling initialization, capturing performance baselines, spawning multiple specialized agents, evaluating the results (via metrics or LLM judging), and finally presenting a winner for merging. Use this when running an end-to-end competition or complex refactoring task.

A comprehensive design specification detailing 98 rules for building Command Line Interface (CLI) tools that are safe, reliable, and easily consumable by AI agents. It covers structured JSON output formats, standardized error handling (to stderr), robust input contracts, safety guardrails (e.g., preventing path traversal), and tiered compliance levels (Agent-Friendly, Agent-Ready, Agent-Native) for seamless integration into AI workflows.

A comprehensive toolset for analyzing Cobalt Strike Malleable C2 profiles. It parses advanced C2 communication configurations to extract crucial Indicators of Compromise (IOCs) such as HTTP headers, DNS settings, URI patterns, and user agents. The analysis is vital for threat hunting, developing network detection signatures (Suricata/Snort), and understanding evasion techniques used by advanced persistent threats (APTs).

This guide provides a comprehensive walkthrough for deploying and configuring a production-grade Command and Control (C2) infrastructure using the open-source Havoc framework. It covers setting up the Teamserver, configuring secure HTTPS listeners, implementing redirectors (e.g., Nginx), and deploying Demon agents for advanced post-exploitation red team operations. This skill is essential for authorized security assessments and building robust defensive countermeasures.

A robust framework for orchestrating complex, multi-step coding tasks using multiple AI agents. It functions by first planning the entire project into a mission dependency graph (DAG), then dispatching specialized agents to isolated Git worktrees for parallel development. The system automatically monitors progress, handles merges, and generates structured, comprehensive reports detailing changes, completed tasks, and next steps.

This guide details the comprehensive deployment of Palo Alto Networks Prisma Access for implementing a modern SASE-based Zero Trust Network Access (ZTNA). It covers configuring the cloud infrastructure, deploying ZTNA Connectors, defining granular application policies, enforcing device posture via Host Information Profile (HIP), and utilizing GlobalProtect agents for secure, enterprise-grade remote access.