Agent Skills Hub

fabric

Intelligent pattern selection for Fabric CLI, automatically choosing from 242+ specialized prompts for threat modeling, data analysis, summarization, and content creation.

orchestrator

Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.

creating-opencode-agents

Expert guidance and configuration standards for creating specialized OpenCode AI agents, including YAML frontmatter, tool permissions, and operational modes.

overview

Foundational mental model and operational rules for using TraceMem to ensure secure, auditable, and compliant AI agent execution.

hash

A Zod schema generation and validation rule set for the HASH intelligent database ecosystem to ensure type safety and data integrity.

ciso-assistant-bootstrap

Bootstrap CISO Assistant environments by guiding users through organizational structure setup, framework selection, and initial risk assessment configuration using MCP tools.

WordPress Penetration Testing

Conduct automated security assessments of WordPress sites using WPScan, enumeration techniques, and vulnerability scanning for themes, plugins, and users.

htmx-rust

Build interactive, hypermedia-driven web applications using Rust, Axum, and HTMX for dynamic, real-time UI updates without complex JavaScript frameworks.

ck:better-auth

Implement comprehensive TypeScript authentication and authorization using Better Auth, supporting OAuth, 2FA, passkeys, sessions, and multi-tenant features.

Delegating to AWS Agent

Implement an AI agent delegation architecture to keep your main context clean, reduce token costs, and isolate specialized infrastructure or API tasks.

test-reporting-analytics

Advanced QE reporting, quality dashboards, and predictive analytics for test metrics, code coverage, and deployment readiness to drive data-informed quality decisions.

guard

Epistemic safety analysis for JSON data in prompts to prevent LLM hallucinations and reasoning errors when handling incomplete or large-scale datasets.