Resumes come in every layout imaginable and plain text parsers choke on the creative ones. This reads them like a person does, with vision, then returns clean JSON.
sonnet1 weekGPT-4 VisionPDF.con8nPostgres
Claude
77ROI
88Scale
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README.md
Why this subagent
Resumes come in every layout imaginable and plain text parsers choke on the creative ones. This reads them like a person does, with vision, then returns clean JSON.
It renders each page as an image, captures names, roles, dates, and skills, and maps them to a fixed schema your ATS can ingest. Tricky two-column designs stop breaking the import.
How it runs
Used at step 01 to kick off the pipeline.
Write
Used at step 01 to kick off the pipeline.
WebFetch
Used at step 01 to kick off the pipeline.
WebSearch
Used at step 01 to kick off the pipeline.
Read the pages with a vision model to capture names, roles, dates, and skills.
pending
Normalize the result into a fixed JSON schema with consistent date formats.
pending
Validate required fields and flag any resume where a key field could not be read.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
Parse the resume into the fixed JSON schema; use null for missing fields and never invent employers or dates.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.