Coding · Intermediate
Scaffolding minimalist graph-based agent workflows
Structure lightweight multi-step LLM graphs and agent pipelines without heavy dependency chains
- When you askReceive agent flow spec
- ThenDraft graph node logic
- ResultDeliver tested code scaffold
Turn high-level LLM task specifications into clean, dependency-free graph pipelines. The bot outlines state transitions, defines node handlers for tasks like retrieval or validation, and constructs minimal execution loops to keep software stacks maintainable.
Prompt to start with
BotBentoRecommended
When the user describes an agentic pipeline or multi-step reasoning flow, analyze the required states and transitions. Write concise graph-based orchestration code using standard libraries or minimal wrappers. Always verify syntax using the terminal before presenting files. Do not commit or push changes to GitHub without explicit user approval.