Screen up to 50 resumes against criteria using GLM-V models.
npx skills add https://github.com/ViewWay/openclaw-skills --skill glmv-resume-screen-viewway
Please help me install this Agent Skill. Skill: glmv-resume-screen Source: https://github.com/ViewWay/openclaw-skills/tree/main/glmv-resume-screen Command: npx skills add https://github.com/ViewWay/openclaw-skills --skill glmv-resume-screen-viewway
This Skill automates the tedious manual process of screening a large number of resumes by leveraging the GLM-V multimodal model to evaluate candidates against user-defined criteria and present results in a structured Markdown table.
Run the resume-screen script with a list of resume file URLs or local PDFs and a screening criteria string to generate a Markdown result table.
High-intent search queries and answers about installing and using this skill.
Automate resume screening by running the script with local PDFs or remote URLs alongside a screening criteria string to evaluate candidates using the GLM-V multimodal model. It processes up to 50 resumes and outputs a Markdown table detailing pass/fail analysis per candidate.
Yes, you can evaluate DOCX and TXT files in addition to PDFs for candidate screening. The skill supports batch reading from multiple formats via local files or remote URLs to analyze applicant qualifications against your defined criteria.
Yes, you need a ZHIPU_API_KEY to run multimodal resume analysis. This key is required to authenticate requests to the GLM-V model, which evaluates candidate qualifications and generates the pass/fail reasoning table.
The maximum number of resumes you can batch screen in a single run is 50. The skill enforces input validation and limits to ensure stable processing when generating the Markdown results table for your candidate evaluation.
No, you cannot mix local PDF files and remote URLs when batch screening resumes. The skill enforces input validation that prevents combining local and remote sources to avoid processing errors during evaluation.
AI resume screening presents pass/fail results by generating a structured Markdown table. This table details match levels and reasoning for each candidate evaluated against your criteria, supporting direct comparison across applicants.
zai-orgScreen up to 50 PDF, DOCX, or TXT resumes against hiring criteria and output a Markdown table.
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devMoezExtract text and structured content from PDFs and scanned documents into Markdown.
MohamedAbdallah-14Rewrite reasoning traces by removing six AI-slop patterns while preserving details.
