What problem does it solve? Building multi-agent pipelines often requires orchestration logic beyond a simple sequence: running agents concurrently, branching on runtime conditions, repeating steps until a goal is met, or dynamically picking which agent runs. This Skill provides the patterns to implement that control flow with the Agno framework. ## Core Features & Use Cases - Parallel execution: Run multiple researcher agents concurrently with Parallel and merge their outputs into a downstream analysis step. - Conditional branching: Gate expensive steps behind an evaluator function with Condition, skipping work when it is not needed. - Loops and dynamic routing: Repeat refinement steps with Loop until an end condition holds, and select agents at runtime with Router based on the input. - Use Case: Build a research pipeline where a web researcher and a deep researcher run in parallel, a fact-checker only runs when the draft contains statistics, and a router sends coding questions to a coder agent and prose questions to a writer agent. ## Quick Start Show me how to build an Agno workflow that runs two researcher agents in parallel and then conditionally fact-checks the combined output.
