Skill UI

Guides multi-step deliveries by linking Antigravity skills into workflows for SaaS MVP launches, security audits, AI agent systems, and browser QA, recommending best-fit playbooks and verifying each artifact.

Guides multi-step deliveries by linking Antigravity skills into workflows for SaaS MVP launches, security audits, AI agent systems, and browser QA, recommending best-fit playbooks and verifying each artifact.

A master-level architect specializing in reviewing and guiding complex, modern distributed systems. This skill excels at evaluating adherence to patterns like Clean Architecture, DDD, and Microservices. Use it when assessing scalability, resilience, security posture, and maintainability across major design changes, ensuring the resulting system is robust and future-proof.

A comprehensive guide for building production-grade Web3 applications, smart contracts, and decentralized systems. Covers expertise in DeFi protocols, NFT platforms, DAOs, cross-chain interoperability, and advanced smart contract security patterns (Solidity, Rust). Ideal for developers building complex, resilient decentralized finance (DeFi) and enterprise-grade blockchain solutions.

Expert guide for designing robust, scalable, and resilient backend systems. Covers modern patterns including Microservices, Event Sourcing, CQRS, and advanced API contracts (REST, GraphQL, gRPC). Specializes in defining service boundaries, implementing distributed transactions (Saga), and integrating comprehensive security measures like OAuth 2.0 and mTLS.

A powerful tool for comprehensive, offline dependency auditing across 8+ programming ecosystems (e.g., Node, Python, Go, Rust). It identifies critical CVE vulnerabilities, license conflicts, and calculates safe upgrade paths, making it essential for pre-release security checks, legal compliance reviews, and major version migrations.

This guide outlines essential security best practices for integrating Firecrawl. It covers secure API key storage (using environment variables and .gitignore), verifying webhook signatures with HMAC-SHA256 for data integrity, implementing key rotation strategies across different environments (dev/staging/prod), and sanitizing scraped content to mitigate XSS and PII risks. Essential for building secure, production-grade systems.

A comprehensive guide detailing the entire workflow for analyzing embedded firmware. It covers hardware-level extraction methods (UART, JTAG, SPI dump), filesystem analysis (SquashFS, JFFS2), binary reverse engineering using tools like Ghidra, and identifying common vulnerabilities (Buffer Overflow, Command Injection). Ideal for security researchers and embedded systems engineers.

This guide outlines critical security measures for integrating with Guidewire systems, which handle sensitive policyholder PII, claims, and financial data. It covers best practices for implementing OAuth2 JWT authentication, API role scoping, input validation, and sensitive data redaction (PII) to prevent data breaches and meet compliance standards.

A comprehensive skill for implementing and managing Information Security Management Systems (ISMS) aligned with ISO 27001:2022 and global regulatory standards. This tool guides users through critical security processes, including risk assessments, control implementation, gap analyses, and preparing for audits. Essential for HealthTech and MedTech companies ensuring data privacy and compliance.

This module implements comprehensive Role-Based Access Control (RBAC) for multi-tenant LangChain applications. It provides granular permission models for controlling model access, tool execution, and chain invocation. Key features include multi-tenant data isolation in vector stores, enforcing usage quotas (token limits), and integrating middleware for robust security enforcement. Ideal for building secure, scalable, and compliant enterprise LLM systems.

A comprehensive checklist for ensuring LangChain applications are robust, secure, and scalable for production environments. It covers critical areas including configuration management, advanced error handling, observability setup (e.g., LangSmith), performance optimization, security best practices (like prompt injection prevention and PII handling), rigorous testing, and zero-downtime deployment strategies. Use this guide when preparing for a major launch or auditing existing LLM systems.