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.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
418 skills found
Implement an AI agent delegation architecture to keep your main context clean, reduce token costs, and isolate specialized infrastructure or API tasks.
Deployment skill for AWS Elastic Beanstalk Node.js apps, providing dependency strategies for monorepos, private packages, and environment configuration.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers.
Development guide for lemline-core, the stateless Serverless Workflow engine. Manage workflow execution, node navigation, state transitions, JQ expression evaluation, error handling, and parallel fork logic.
Provides Jest testing patterns and best practices for interpreters, parsers, and async TypeScript code in the Lea language repository.
Automated quality assurance system that validates markdown deliverables against defined checklists for PB-000 market research workflows.
Guide for installing or reimaging NixOS from live media using a declarative, flake-based approach with hardware-specific configuration support.
Standardized debugging and diagnostic guidelines for AI coding agents.
Maintains a centralized architecture overview with Mermaid diagrams to document system boundaries, module dependencies, and interface contracts for onboarding and refactoring.
An Obsidian vault curator for identifying stub notes, detecting duplicates, fixing outdated information, and improving documentation quality in both English and Korean.
The final execution agent for the vibe-coding workflow. Builds your MVP incrementally by following the AGENTS.md master plan, managing session continuity, and verifying each feature via testing.
Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.