Agent Skills Hub

error-handling

Implement robust backend error handling with custom classes, middleware, structured logging, and recovery patterns.

github-code-review

Deploy specialized AI swarms to perform comprehensive, multi-domain GitHub pull request reviews covering security, performance, architecture, and style.

turing-tavily-web-search

Search the web for real-time data and research using the Turing Tavily proxy. Use for up-to-date information, current events, and web-based research tasks.

create-evlog-framework-integration

Add evlog framework integration: automate wide-event logging across your stack with standardized middleware, build configurations, testing, and documentation.

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.

Quality Assurance

Automated quality assurance system that validates markdown deliverables against defined checklists for PB-000 market research workflows.

gitlab-ci-patterns

Implement professional GitLab CI/CD pipelines with multi-stage workflows, caching strategies, and Kubernetes deployment patterns for scalable automation.

flow-nexus-platform

Comprehensive management for the Flow Nexus platform, covering user authentication, sandbox execution, app deployment, credit management, and gamified challenges.

worker

Autonomous agent for ticket-driven development, managing the full software lifecycle from polling providers to automated PR creation with ERNE standard validation.

solana-vulnerability-scanner

Scans Solana programs (native/Anchor) for 6 critical vulnerabilities, including arbitrary CPI, improper PDA validation, and missing ownership checks, providing detailed fix recommendations.

k8s-security-policies

Implement production-grade Kubernetes security using NetworkPolicy, RBAC, Pod Security Standards, and OPA Gatekeeper policies.

code-quality

Enforce strict code quality, correctness, and Rust design patterns for the Turso database, prioritizing data integrity, performance, and maintainable, idiomatic code.