subagent-driven-development
Execute implementation plans using isolated subagents for each task, featuring a rigorous two-stage review process for spec compliance and code quality.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
453 skills found
Execute implementation plans using isolated subagents for each task, featuring a rigorous two-stage review process for spec compliance and code quality.
AWS DynamoDB engineering assistant for schema design, query optimization, single-table patterns, and infrastructure management using Boto3 and AWS CLI.
A scaffolding tool for generating production-ready Model Context Protocol (MCP) servers, including boilerplate, typed handlers, schema definitions, and test stubs for AI agent integrations.
Build a cohesive, constraint-based design system using the Design Graph methodology. Automate the creation of design tokens, typography scales, components, variants, and themes.
Self-modify your Milady agent by managing plugins. Edit code, rebuild, and restart the runtime to develop new capabilities or improve agent workflows locally.
Expert advisor for implementing Anthropic's structured outputs. Choose between JSON mode and strict tool use for guaranteed schema compliance and validated agentic workflows.
Debug package implementation guide for LobeHub. Provides standardized logging patterns, namespace conventions, and configuration for browser, Node.js, and Electron environments.
Systematically trace code flows, locate implementations, diagnose performance issues, and map system architecture to understand complex codebases.
SwiftUI architecture and implementation patterns for native iOS and macOS development, focusing on state management, view composition, and data persistence.
Manage CI/CD workflows, Docker containerization, and infrastructure configurations for the multi-chain crypto wallet system.
Comprehensive smart contract testing skill for Hardhat and Foundry, featuring unit tests, integration suites, gas optimization, fuzzing, and mainnet forking.
Provides comprehensive knowledge on Zed Editor and the Agent Client Protocol (ACP), including AI agent integration, performance tuning, and configuration for professional development workflows.