agent-development
Agent Development
Overview
Design and build AI agents that effectively use tools, manage memory, plan multi-step tasks, coordinate with other agents, and operate within safety guardrails. This skill covers the full agent development lifecycle from architecture through evaluation, with emphasis on observable, testable, and safe agent behavior.
Phase 1: Agent Design
- Define the agent's purpose and scope
- Identify required tools and capabilities
- Design memory architecture (short-term, long-term)
- Plan agent loop structure (observe, think, act)
- Define safety boundaries and guardrails
STOP — Present agent design to user for approval before implementation.
Agent Architecture Decision Table
More from pixel-process-ug/superkit-agents
ui-ux-pro-max
>
784frontend-ui-design
Use when designing UI components, creating component architectures, implementing responsive layouts, setting up design systems, or selecting state management solutions for frontend applications
43reverse-engineering-specs
Use when onboarding to an existing codebase that lacks specifications — exhaustively traces code paths and produces implementation-free behavioral specifications for safe refactoring, feature addition, or legacy modernization
40senior-fullstack
Use when the user needs end-to-end TypeScript development — from database schema through API layer to UI — with tRPC, Prisma, Next.js, authentication, and deployment. Triggers: full-stack feature implementation, database-to-UI pipeline, tRPC router creation, Prisma schema design, auth setup, deployment configuration.
35ux-researcher-designer
>
35clean-code
Use when the user needs code quality review, refactoring guidance, SOLID principles application, or help identifying and fixing code smells. Triggers: code smell detection, refactoring planning, naming convention review, complexity reduction, DRY analysis, error handling improvement.
35