Skill UI

This framework provides a comprehensive, structured approach for making critical architectural decisions. It guides users through requirements analysis, detailed trade-off evaluation, and documenting decisions using Architecture Decision Records (ADRs). It is essential when analyzing or designing complex system architectures to ensure simplicity, robustness, and maintainability.

Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems. This skill helps in designing new backend systems, refactoring monolithic applications, and establishing architecture standards for your team. It is suitable for migrating from tightly coupled to loosely coupled architectures and planning microservices decomposition.

Review repository architecture using the Ontoly Software Graph and MCP capabilities. Explains module boundaries, package topology, service ownership, dependency cycles, and architectural risk with graph-backed evidence, node ids, edge types, source spans, and confidence levels.

Senior embedded software engineering guidance for ARM Cortex-M firmware, peripheral drivers, DMA/cache safety, interrupts, RTOS integration, and maintainable code.

A router that helps you pick which skill or workflow fits your situation. It maps the main idea-to-ship flow, on-ramps like triage, and standalone skills, and explains when to use handoff versus compact across coding-agent sessions.

Maintain comprehensive IT asset inventory and configuration management database. Track hardware, software, and cloud resources using automated discovery scripts, AWS Config rules, and tagging enforcement for compliance and operational visibility.

This skill provides comprehensive guidance on implementing high-performance, non-blocking applications in Python. It utilizes asyncio, async/await, and advanced concurrency patterns to handle I/O-bound workloads efficiently. Ideal for building async web APIs, real-time systems, and concurrent data processing.

A goal-integrity skill for backend/API/persistence work that preserves existing behavior, validates changes, and prevents scope drift. Emits contracts, deviation notices, and phase checks to maintain alignment with user requirements during complex development tasks. Skip for Q&A or trivial edits.

Atlas Ledger is a critical companion designed to provide lasting 'memory' to project contracts. It automatically processes detected deviations or 'drift' (e.g., from audits or reviews) and distills these instances into formal, actionable contract clauses (WHEN/DON'T/INSTEAD). These clauses are written to a persistent project memory file, Atlas.md. This mechanism ensures that lessons learned from failure are systematically captured, allowing future contract cycles to incorporate these rules, thereby strengthening overall project governance and reliability.

Orchestrates authorized multi-stage security engagements spanning reconnaissance, initial access, privilege escalation, and lateral movement. Plans coherent attack paths and coordinates specialist tools for comprehensive penetration testing and red team operations.

This skill enables independent auditing of AI agent, gateway, or automation workflow runs. It reconstructs events from traces, checkpoints, and tool calls to verify success claims without trusting self-reports. Users establish contracts, build claim ledgers, normalize evidence, rank witnesses, and assign verdicts like proven or contradicted. It ensures integrity in multi-step automation and separates autonomous success from human-assisted outcomes.

Implement comprehensive audit logging for compliance, security monitoring, and forensic analysis across infrastructure and applications. Configure log retention, integrate with SIEM platforms, and establish tamper-proof audit trails for regulatory requirements like SOC 2 and HIPAA.