policyengine-review-patterns
Standardized review patterns, validation checklists, and quality benchmarks for PolicyEngine codebases.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
510 skills found
Standardized review patterns, validation checklists, and quality benchmarks for PolicyEngine codebases.
Build systematic evaluation frameworks for AI agents using multi-dimensional rubrics, LLM-as-a-judge, and regression testing to measure performance, quality, and context engineering effectiveness.
Evaluate Deca agent prompts and behavioral consistency through automated test runners, manual LLM judgment, and structured reporting.
Architectural expert for the SpecKit template, managing Spec-Driven Development, design patterns, and microservices lifecycle automation.
AWS CloudFormation skill for infrastructure as code, automated stack management, template authoring, drift detection, and troubleshooting across AWS environments.
Master cross-language error handling patterns: exceptions, Result types, and graceful degradation for resilient application development.
Implement an AI agent delegation architecture to keep your main context clean, reduce token costs, and isolate specialized infrastructure or API tasks.
A project-specific template skill for maintaining architectural consistency, coding standards, and deployment workflows in AI-powered full-stack applications.
Analyzes OpenAPI specifications to generate TypeScript interfaces, API service patterns, and implementation guidance for backend-integrated frontend development.
Autonomous iteration loop for AI software development. Executes tasks, validates code, and manages state until completion. Ideal for implementing complex PRP plans.
Execute implementation plans in small, verifiable batches with pause-for-feedback checkpoints to prevent drift and ensure code quality.
High-performance Solana meme coin trading for AI agents: sniping, MEV-protected execution, rug detection, and automated position management.