skillful-node-prompt

DAG agent prompts are structured using a four-branch hypertree that separates identity, context, task, and protocol. This architecture allows independent construction of each branch before assembly, standardizing how prompts are loaded and executed across WinDAGs workflows.

Standardizing node prompts for DSPy orchestration involves applying a four-branch hypertree architecture. By codifying identity, context, task, and protocol into distinct sections, it enforces a safe execution contract and maps skill relationships through frontmatter constraints like allowed-tools.

Assembling a node prompt requires defining the four-branch hypertree: identity, context, task, and protocol. Explicit branch content such as references, tools, and MCPs can be loaded on demand to support node execution and debugging within your DAG.

Yes, the four-branch prompt architecture supports loading explicit branch content like references, tools, and MCPs on demand. This allows targeted capability loading for individual node executors during DAG execution.

Agent prompts break across DAG nodes without a standardized architecture. Applying a four-branch hypertree separating identity, context, task, and protocol resolves this by ensuring consistent assembly and enforcing safe execution contracts through frontmatter constraints.

Yes, frontmatter constraints like allowed-tools and pairs-with are required to enforce safe execution contracts in WinDAGs. The four-branch prompt architecture satisfies these constraints to map skill relationships and standardize node execution.