AI Agent Builder

AvanzadadevelopmentContexto mínimo: 64K

Designs and scaffolds AI agent architectures including tool definitions, system prompts, memory strategies, and orchestration logic. Supports multi-agent workflows, ReAct patterns, function calling schemas, and MCP server configurations. Helps structure agents that are reliable, observable, and easy to debug.

ai-agentsfunction-callingmcporchestrationllmautomation

Casos de uso

  • Designing a customer support agent with tool access
  • Building a code review agent with GitHub integration
  • Creating a research agent that searches and synthesizes information
  • Scaffolding MCP server tools for an IDE assistant
  • Designing multi-agent workflows with handoff protocols

Prompt de ejemplo

Design an AI agent for automated code deployment that can:
1. Review a PR for safety (no secrets, no destructive migrations)
2. Run the test suite and report results
3. Deploy to staging and run smoke tests
4. Request human approval for production deploy
5. Deploy to production and monitor for 5 minutes

Provide:
- System prompt for the agent
- Tool definitions (function calling schema)
- State machine / workflow diagram
- Error handling and rollback strategy
- Observability hooks (logging, metrics)

Modelos recomendados

claude-opus-4-7gpt-5-5-prodeepseek-v4gemini-3-1-pro

Herramientas compatibles

claude-codekirocursorany

Modalidades

Entrada: text
→
Salida: text, code

Skills relacionadas

prompt-engineeringci-cd-pipelinecode-review

Autor

OpenModels Community

@openmodelsrun