Show HN: Soup – organize and route Agent Skills into your LLM prompts

Description and use

Here's a brief summary of the open-source project "Soup":

Soup is an open-source project that helps organize and route Agent Skills into Large Language Model (LLM) prompts, enabling the creation of repeatable agent workflows from isolated prompts and tools. This project is particularly useful for coordinating multi-agent workflows, adding tool-use pipelines, and standardizing agent memory. While it has some limitations, Soup can be a valuable addition to prototypes or internal workflows, but requires careful evaluation and integration before production use.

As for the practical adoption path, Soup can be adopted by following these steps:

1. **Evaluate the project**: Carefully review the project's documentation, issues, and release cadence to ensure it meets your needs and has a sustainable development path.
2. **Integrate with your workflow**: Manually inspect the project's integration signals to understand how to integrate it with your existing tools and workflows.
3. **Test and refine**: Test the project in a controlled environment, refine the integration as needed, and verify that it meets your requirements.

Regarding production readiness, Soup is considered "medium" ready, meaning it can be useful for prototypes or internal workflows, but requires careful evaluation and integration before production use. This is due to the limited quality signals and the need for manual inspection before adoption. Before

Use in a workflow

Show HN: Soup – organize and route Agent Skills into your LLM prompts helps turn isolated prompts and tools into repeatable agent workflows.

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.