Define and execute multi-agent workflows with a declarative programming language.
npx skills add https://github.com/clsdavid/autocrab --skill prose-clsdavid
Please help me install this Agent Skill. Skill: prose Source: https://github.com/clsdavid/autocrab/tree/main/extensions/open-prose/skills/prose Command: npx skills add https://github.com/clsdavid/autocrab --skill prose-clsdavid
This Skill automates complex multi-agent workflows by allowing you to write structured programs that define agent behavior, control flow, and data passing.
Run the 'hello world' example program using the prose skill.
High-intent search queries and answers about installing and using this skill.
You orchestrate multi-agent workflows by writing structured programs that define agent behavior, control flow, and data passing. This approach manages agent lifecycles and handles sequential, parallel, and conditional execution logic.
Yes, you can run parallel and sequential tasks in AI agent orchestration by implementing structured control flow. This allows you to define conditional execution logic and manage data passing between specialized agents.
Agent specialization in multi-agent systems is defining custom agents with specific models, prompts, and skills. This allows a central program to orchestrate distinct roles, such as identifying issues, suggesting fixes, and summarizing findings.
You handle state persistence for automated AI orchestration workflows through various configured backends. This manages agent lifecycles and ensures data passing is maintained across complex, structured program executions.
Yes, the declarative language for LLM programming supports program composition via imports. This enables you to modularize complex multi-agent workflows and combine structured programs to automate large-scale processes.
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