Neo Agentic Design

This skill provides architectural concepts and orchestration patterns for building LLM Agent systems. It covers 21 core design patterns categorized into four themes. The orchestration logic remains abstract and independent of specific programming languages or frameworks.

Gotchas

• Over-engineering: Prioritize simple prompt chains (Chapter 1) or routing (Chapter 2). Use complex multi-agent collaboration (Chapter 7) or hierarchical networks only when necessary to reduce token overhead.
• Reflection Infinite Loops: When implementing reflection (Chapter 4) or self-correction (Chapter 12), enforce a maximum iteration limit (e.g., 3-5 iterations) to prevent the LLM from getting stuck in an infinite loop.
• Blocking Operations: High-risk operations (such as direct database deletions or large fund transfers) must include a Human-in-the-Loop review gate (Chapter 13).
• Context Pruning State Loss: When compressing context, protect critical agent instructions from being pruned to prevent behavioral degradation.

Workflow Checklist

Progress:

• Step 1: Analyze Requirements (define objectives, inputs, constraints, and complexity levels).
• Step 2: Select Orchestration Patterns (load corresponding reference documents based on requirements).
• Step 3: Plan System Components (determine memory, learning mechanisms, and protocol specifications).
• Step 4: Define Resilience and Safety (establish exception handling, human review gates, and input/output guardrails).
• Step 5: Draft Design Proposal (create system topology diagrams and describe the architecture).

Detailed Guidelines