# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

- Search: append `?q=<keywords>` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README.
- Filter by type: append `?type=<cli|skill|plugin|mcp>` to the URL.
- Filter by profession: append `?profession=<profession id>` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions
- Filter by tag: append `?tag=<tag>` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags

Tagged `glm`: 1 item.

- [GLM-V Resume Screening](https://hebbmind.com/skill/glmv-resume-screen.md): [Skill] Official Zhipu skill that uses the GLM-V multimodal model to read resumes in bulk, judge each against your criteria (e.g. 3+ years of experience) with reasons, and output a comparison table. Needs a Zhipu API key and Python; resumes can be URLs (PDF, Word, TXT) or local PDFs (needs PyMuPDF).