القائمة
Evaluate a job posting against a confirmed resume and stated job preferences, producing evidence-backed fit dimensions, hard constraints, strengths, gaps, confidence, and a recommendation. Use when ranking jobs or opening a job's match analysis.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Propose reviewable structured edits to a local master resume from a user conversation, optionally using one job or a server-resolved local market sample as wording and prioritization context.
Classify how a trusted master resume covers a fixed list of aggregated market skills using verifiable resume paths and confirmed fact IDs.
Classify how a trusted resume covers a fixed set of job requirements using explicit resume paths and confirmed fact IDs.
Generate a focused interview preparation plan from aggregated local job-market statistics and, when available, confirmed resume facts. Use when a candidate requests interview skill priorities, personal capability gaps, preparation actions, project stories, or practice questions for the jobs stored in this app.
Extract clean, source-grounded job, company, and business-registration fields from a noisy BOSS job-detail page captured as plain text.
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.
| name | job-fit |
| description | Evaluate a job posting against a confirmed resume and stated job preferences, producing evidence-backed fit dimensions, hard constraints, strengths, gaps, confidence, and a recommendation. Use when ranking jobs or opening a job's match analysis. |
Evaluate capability and desirability separately. Use only confirmed resume evidence and explicit preferences.
zh-CN).recommendation, summary, dimension label and note, hard-constraint label and note, every strengths item, and every gaps item.verdict, dimension key, and hard-constraint status must keep the English enum values from the output contract.Set a dimension score to null when evidence is insufficient. Re-normalize the overall score over known dimensions and set confidence to the sum of known weights. A failed hard constraint caps the overall score at 44.
Use verdicts: strong for 75+, good for 60–74, moderate for 45–59, weak for 30–44, and poor below 30.
{
"overallScore": 0,
"confidence": 0,
"verdict": "strong|good|moderate|weak|poor",
"recommendation": "",
"summary": "",
"dimensions": [{
"key": "technical|experience|behavior|career",
"label": "",
"score": null,
"weight": 0,
"note": "",
"evidence": [""]
}],
"hardConstraints": [{"label": "", "status": "pass|flag|fail|unknown", "note": ""}],
"strengths": [""],
"gaps": [""],
"evidence": [""],
"generatedAt": "ISO-8601",
"skillVersion": "job-fit@1.1.0"
}