Orchestrate multi-step agent pipelines with history tracking and error handling.
npx skills add https://github.com/ayo-ooo/ayo --skill flows
Please help me install this Agent Skill. Skill: flows Source: https://github.com/ayo-ooo/ayo/tree/main/internal/builtin/skills/flows Command: npx skills add https://github.com/ayo-ooo/ayo --skill flows
Flows enables you to design, run, and manage composable agent pipelines, turning ad-hoc agent actions into repeatable workflows.
Create a new flow named my-flow and run it with sample input to see the pipeline in action.
High-intent search queries and answers about installing and using this skill.
Agent pipeline orchestration connects multi-step agent calls with history tracking and error handling. You define structured flows that pass data between agents, validate inputs, and manage execution across local or sandboxed environments.
Automating task workflows requires bash compatibility and a JSON-structured metadata format. This approach lets you define pipelines that pass data between agents, execute locally or in sandboxes, and monitor every run.
Yes, agent pipelines can run in sandboxed environments. The orchestration tool monitors executions and maintains history tracking, allowing you to review past runs and handle errors across both local and sandboxed agent calls.
Yes, bash compatibility and a JSON-structured metadata format are required. These prerequisites integrate with the orchestration tooling to define and execute multi-step agent pipelines that pass data and handle errors.
Use agent orchestration pipelines when you need to turn ad-hoc agent actions into repeatable workflows. This is ideal for automated data processing, task orchestration, and complex decision workflows requiring input validation and error handling.
Running multi-step agent flows locally requires bash compatibility and structured JSON metadata. While local execution supports history tracking and error handling, complex decision workflows may require sandboxed environments for safe execution.
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