Agentic Workflow
ListedAutomates complex tasks by orchestrating multiple tools and APIs into sequential, adaptable workflows.
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supercent-io
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About this skill
What it does
The agentic-workflow skill enables AI agents to execute complex, multi-step tasks through autonomous decision-making and coordination. It allows agents to break down workflows into smaller actions, manage dependencies between them, and adapt dynamically based on real-time inputs or outcomes.
When to use it
- Automating a sequence of data processing steps that require conditional logic
- Orchestrating multiple AI tools in a coordinated workflow for content creation
- Managing task delegation across different agents in a distributed system
- Handling workflows with dynamic input, such as customer service ticket resolution
Key capabilities
- Task decomposition and prioritization
- Agent-to-agent communication and coordination
- Dynamic workflow adjustment based on outcomes
- Dependency management between steps
Example prompts
- "Process this dataset by first cleaning it, then running a classification model, and finally generating a report."
- "Coordinate with the research agent to gather data, the analysis agent to interpret results, and the reporting agent to summarize findings."
- "Handle customer support tickets by routing urgent ones to the priority queue and non-urgent ones to the standard queue."
Tips & gotchas
- Ensure all agents involved in the workflow are properly configured with clear roles and permissions.
- Monitor workflows for performance bottlenecks, especially when handling large or complex tasks.