Define and execute AI agent workflows using the OpenProse programming language.
npx skills add https://github.com/enyst/OpenHands-Tab --skill open-prose-enyst
Please help me install this Agent Skill. Skill: open-prose Source: https://github.com/enyst/OpenHands-Tab/tree/main/.openhands/skills/open-prose Command: npx skills add https://github.com/enyst/OpenHands-Tab --skill open-prose-enyst
This Skill provides a programming language (OpenProse) to structure complex AI workflows, turning natural language prompts into unambiguous control flow for AI agents.
Use the open-prose skill to run the example program 'examples/01-hello-world.prose'.
High-intent search queries and answers about installing and using this skill.
To structure multi-agent AI workflows using natural language, use the OpenProse programming language to turn English prompts into unambiguous control flow for agent orchestration. It enables declarative definition of complex multi-stage tasks.
Yes, you can run parallel tasks and loops in AI agent orchestration. OpenProse explicitly manages control flow including sequential execution, parallel tasks, loops, and error handling to coordinate multiple specialized agents.
The best way to automate a multi-stage code review process is by defining specialized security, performance, and style analysis agents in OpenProse, then orchestrating them to synthesize feedback into a single report.
You need some programming knowledge to define AI workflow control flow, as OpenProse is a programming language utilizing concepts like loops, error handling, and reusable blocks, but it uses an English-like syntax for declarative definitions.
To execute an example AI workflow program and test agent orchestration, use the open-prose skill to run the provided example file 'examples/01-hello-world.prose' to see the declarative workflow mechanism in action.
Context passing between specialized AI agents works by managing the state and data flow through the OpenProse control flow structure. This ensures unambiguous data handoffs during sequential, parallel, and looped agent execution.
1molchuanVerify MCP, Codex, and Gemini endpoints and initialize RPI state.
withkynamGenerate Validate Contract with Net Gate status from Layer 1 and Layer 2 findings.
loveoplay2023-hueDefine and execute multi-agent workflows with OpenProse declarative syntax.
unclehowellGenerate constrained LLM outputs conforming to JSON, XML, or code formats.
