| name | resume-extraction |
| description | Extract a PDF, DOCX, pasted resume, or RenderCV YAML into a structured RenderCV-compatible candidate profile with source-backed facts and confidence. Use when importing, normalizing, or validating a resume before job matching or tailoring. |
Resume Extraction
Convert the supplied resume text into the JSON contract below. Treat the resume as the only source of biographical truth.
Rules
- Preserve names, employers, dates, degrees, metrics, links, and technologies exactly unless normalizing whitespace.
- Never infer an employer, date, metric, responsibility, credential, or skill that is not supported by the source.
- Put uncertain text in the closest field, lower its fact confidence, and set
confirmed to false.
- Keep accomplishment bullets concrete and concise. Do not turn ordinary responsibilities into invented achievements.
- Reuse the supplied fallback profile when extraction is incomplete.
- Return JSON only. Do not wrap it in Markdown.
- Treat
rawText as the source whether it came from a PDF text layer, DOCX, or page-by-page visual transcription. Page markers such as --- Page 2 --- are source identifiers, not resume content.
- Keep every distinct job, project, and education record as a separate array item. Never merge employers, schools, degrees, or date ranges.
- Split every date range into
startDate and endDate. For 2024.12 - 至今, return startDate: "2024.12" and endDate: "至今". Never place a full range in one field and never add a leading dash.
- Normalize degrees to
本科, 硕士, 博士, or 其他. For any other degree, set degree to 其他 and preserve the exact source wording in degreeDetail.
- Every fact created during import must use
confirmed: false; only the user can confirm imported facts.
Output contract
Return one ResumeProfile object:
{
"id": "resume-master",
"name": "",
"headline": "",
"email": "",
"phone": "",
"location": "",
"website": "",
"summary": "",
"templateId": "ai-engineering",
"professionalSkills": [{
"id": "",
"label": "核心方向",
"items": [""]
}],
"experiences": [{
"id": "",
"company": "",
"position": "",
"location": "",
"startDate": "",
"endDate": "",
"highlights": [""]
}],
"education": [{
"id": "",
"institution": "",
"area": "",
"degree": "",
"degreeDetail": "",
"startDate": "",
"endDate": "",
"highlights": []
}],
"projects": [{
"id": "",
"name": "",
"summary": "",
"startDate": "",
"endDate": "",
"highlights": []
}],
"certifications": [{
"id": "",
"name": "",
"issuer": "",
"date": ""
}],
"facts": [{
"id": "fact-stable-id",
"category": "identity|experience|education|skill|project|certification|other",
"value": "",
"source": "section and source excerpt identifier",
"confidence": 0.0,
"confirmed": false
}],
"preferences": {
"targetRoles": [],
"cities": [],
"remotePreference": "flexible",
"energizingTasks": [],
"drainingTasks": [],
"hardConstraints": []
},
"sourceFileName": "",
"updatedAt": "ISO-8601",
"version": 1
}
Use a confidence of at least 0.9 only for directly readable source claims. Keep user preferences empty; they are collected separately.
