Agent Skills Hub

ring:dev-sre

Gate 2 development cycle skill that validates observability implementation, including structured logging, OpenTelemetry tracing, and instrumentation coverage, without modifying code.

milan-news-briefing

Automate your daily Milan news digest with this Python-based briefing tool. Supports weather, strikes, world/AI/Italian news, and event scraping, featuring deduplication, RSS/API pipeline management, and AI-agent ready scheduling.

Security Code Review

Analyze source code for security vulnerabilities based on OWASP Top 10 guidelines and suggest remediation strategies.

compliance-testing

Automate regulatory compliance testing for GDPR, CCPA, HIPAA, SOC2, and PCI-DSS to ensure legal adherence, prepare for audits, and secure sensitive data.

performance-analysis

Systematic performance engineering: baseline measurement, profiling, bottleneck diagnosis, and evidence-based optimization guidance for high-performance applications.

claude-rag-skills

A suite of professional tools for auditing, evaluating, chunking, and scaffolding production-ready RAG pipelines within Claude Code.

security-assessment

Systematic security assessment using STRIDE threat modeling, OWASP top 10 review, and secure coding practices for code, architecture, and infrastructure.

opsx

A specification-driven workflow management system for structured development lifecycle management, covering proposal, planning, implementation, and archival phases.

supermemory

Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.

code-security

Comprehensive secure coding guidelines for 15+ languages, covering OWASP Top 10, infrastructure security, and best practices to identify vulnerabilities in code, configurations, and cloud setups.

security-hardening

Comprehensive security audit and hardening for AI agents: credential scanning, PII protection, prompt injection defense, and workspace config optimization.

evidence-first-debugging

Enforces a strict evidence-based debugging workflow using structured observation, hypothesis testing, and causality validation to eliminate speculation in technical investigations.