Skill UI

This skill provides a comprehensive workflow for verifying the integrity of a system's boot chain using Trusted Platform Module (TPM 2.0). It covers local validation (event log replay against PCRs) and remote attestation (generating signed, nonce-bound quotes). Use this to detect bootkits, unauthorized firmware changes, or establish device posture for Zero Trust architectures.

This masterclass framework provides a structured, end-to-end guide for scoping and planning new web projects, applications, or page designs. It systematically covers core concept definition, user experience (UX) mapping, visual design system establishment, selecting the technical architecture, and optimizing for SEO and performance. Ideal for the initial stages of development.

This skill provides comprehensive guidance on designing complex system integrations, including event-driven architectures (EDA), webhook flows, API chaining, and robust ETL pipelines. It covers advanced patterns like Saga, Outbox, and resilience mechanisms (Idempotency, Circuit Breaker), making it ideal for connecting multiple microservices and managing asynchronous data flows.

This skill guides users through an in-depth interview process to achieve maximum project context completeness (100% "Gold Code") for their .faf file. By systematically asking questions about project goals, architecture, and technology stack, it ensures all critical context slots are filled, making the project fully structured and highly readable by AI systems.

A sophisticated and print-friendly presentation template designed for explaining complex system architectures and data pipelines. Featuring a blueprint grid, cream background, and rust red accents, this deck is ideal for technical deep dives in engineering and system design.

Create engaging and intuitive process visualization using the whiteboard aesthetic. This template simulates a physical brainstorming session with sticky notes, hand-drawn SVG connections, and optional cursor interactions, perfect for onboarding, system architecture, or operational workflows.

Diagnoses full-stack failure modes in agent and LLM applications, including wrapper regressions, memory contamination, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings and code-first fixes for production agent systems.

Design a persistent multi-agent operating system on Claude Code with kernel routing, specialist agents, slash commands, file-based memory, and scheduled automation for long-lived projects.

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.

This skill provides a comprehensive, evidence-based inventory and overlap audit workflow for enterprise automation. It helps users determine which jobs, hooks, connectors, or wrappers are currently live, broken, redundant, or missing before making critical changes, ensuring reliable system architecture and clean code practices.

Automatically analyzes unfamiliar codebases to generate a comprehensive, structured onboarding guide. It systematically detects package manifests, framework fingerprints, architecture maps, key entry points, and coding conventions. Ideal for new developers joining a project or setting up a repository for the first time.

This utility facilitates the creation and management of Dynamic Agentic Architecture (DAA) agents. Unlike static systems, DAA agents are designed to continuously learn from interactions, adapt their behavior based on performance metrics, and propagate knowledge across multiple agents. It provides comprehensive tools for agent creation, monitoring learning progress, checking performance, manual adaptation, and knowledge sharing, ensuring robust and evolving AI workflows.