skill-code-review
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
444 skills found
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
Systematically trace code flows, locate implementations, diagnose performance issues, and map system architecture to understand complex codebases.
MPC-based multi-chain wallet SDK and CLI for AI agents and developers. Perform secure, threshold-signed crypto operations (send, swap, sign) across 40+ blockchains without seed phrases.
Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.
Implement Extreme Programming (XP) practices including TDD, pair programming, and continuous integration to enhance team collaboration and technical excellence in software engineering.
Create robust, scalable, and maintainable technical implementation plans for complex software projects.
Implement an AI agent delegation architecture to keep your main context clean, reduce token costs, and isolate specialized infrastructure or API tasks.
Comprehensive guide and implementation framework for building, configuring, and deploying NexAU agents from scratch, including tools, prompts, and skills.
Generate publication-quality statistical plots from CSV or JSON data files using AI-driven automated visualization.
Pre-implementation confidence assessment tool for developers. Ensures 90%+ readiness via duplicate checks, architecture compliance, official docs verification, and root cause analysis.
Integrates browser-native Proofreader API into web applications for AI-powered text correction, grammar checking, and language support with managed model lifecycle.
Automated PR lifecycle management: monitors conflicts, resolves CI failures, handles review feedback, and executes squash-merges for safe code integration.