Show HN: Job Seeker – AI agent skills for job searching

Description and use

**Project Summary**

Show HN: Job Seeker is an open-source project that leverages AI agent skills for job searching, enabling users to create repeatable workflows from isolated prompts and tools. This project is particularly useful for coordinating multi-agent workflows, adding tool-use pipelines, and standardizing agent memory. However, due to limited quality signals and sparse integration metadata, users should exercise caution before adopting it in production.

**Value Proposition**

The project's primary value lies in its ability to help users create automated workflows for job searching, making the process more efficient and repeatable. By integrating multi-agent tools and standardizing agent memory, users can streamline their job searching process and potentially increase their chances of success.

**Practical Adoption Path**

To adopt this project, users should first manually inspect the code and dependencies to ensure they align with their requirements. They should also verify the license, maintenance, documentation, issues, and release cadence before using it in production. This project is best suited for prototype development or internal workflows, where the risks associated with limited quality signals can be managed.

**Production Readiness**

The project has a medium level of production readiness, indicating that it is useful for prototypes or internal workflows but requires careful evaluation and testing before being used in a production environment.

Before adopting

Review the current source documentation, licensing terms, dependencies, and maintenance status against your intended use. [View the source](https://github.com/galiprandi/job-seeker).

Use in a workflow

Show HN: Job Seeker – AI agent skills for job searching 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.