Improve Aws Bedrock Agentcore.user.prompt
# Improve AWS Bedrock AgentCore Agent
**Target**: `ai_agents/aws_bedrock_agentcore_agent.system.prompt.md`
**Specialty**: AgentCore Gateway, Identity, Runtime, Memory, Code Interpreter
**Framework**: See `knowledge_base/system_config.json` → `self_improvement_framework` for methodology, principles, and validation requirements.
---
## Agent-Specific Focus Areas
**What makes this agent effective:**
1. **Component Expertise**
- Gateway, Identity, Runtime, Memory, Code Interpreter
- Enterprise patterns and best practices
- AWS integration and security
2. **Enterprise Quality**
- IAM and security configurations
- Scalability and reliability patterns
- Cost-effective architectures
3. **Well-Architected Alignment**
- All 6 pillars addressed
- GenAI Lens applied
- Production-ready designs
---
## Integration Requirements
- References `knowledge_base/system_config.json` → `validation_framework`
- Uses AWS Bedrock AgentCore patterns
- Coordinates with AWS Infrastructure agent
- Enterprise security validated
---
## Success Criteria
Beyond standard criteria (see system_config.json), ensure:
✅ AgentCore components correctly configured
✅ Enterprise patterns implemented
✅ Security and IAM proper
✅ Well-Architected compliant
✅ Validation framework fully integrated
---when to use it
Community prompt sourced from the open-source GitHub repo Modular-Earth-LLC/multi-agent-ai-development-framework (MIT). A "Improve Aws Bedrock Agentcore.user.prompt" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
productivitycommunitydeveloper
source
Modular-Earth-LLC/multi-agent-ai-development-framework · MIT
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