subagent-prompting

To get deterministic outputs in multi-agent workflows, structure prompts using a 4-part framework: GOAL, CONSTRAINTS, CONTEXT, and OUTPUT. This ensures sub-agents receive clear objectives, boundaries, necessary data, and expected deliverables for predictable execution.

The best way to visualize sequential tasks and conditional logic in agent orchestration is using F# conceptual pipeline notation. This maps out the flow of agent tasks and conditional branches, such as routing to an issue debugger if an auditor finds problems.

You standardize sub-agent invocation for a code review pipeline by enforcing a structured template for each agent. Define the security auditor's goals, constraints, context, and output format, then chain it sequentially to the architecture auditor using pipeline notation.

Yes, you can use this structured prompting template for conditional agent branching. By defining clear constraints and expected outputs, you can map conditional logic in F# notation to route execution to specific agents, like triggering an issue debugger based on audit findings.

Multi-agent workflows produce unpredictable results when sub-agent prompts lack defined boundaries and output expectations. Implementing a standardized GOAL, CONSTRAINTS, CONTEXT, and OUTPUT structure enforces deterministic inputs to resolve this inconsistency.

Yes, subagent-prompting works without external dependencies. It is a standalone template that standardizes prompt structure and uses F# conceptual pipeline notation to define multi-agent orchestration logic directly within your workflow.