kyle-kw/ai-job-app/job-fit

Job Fit

Evaluate capability and desirability separately. Use only confirmed resume evidence and explicit preferences.

Language

• Write every user-facing narrative field in Simplified Chinese (zh-CN).
• This includes recommendation, summary, dimension label and note, hard-constraint label and note, every strengths item, and every gaps item.
• Technical names and exact evidence quoted from the resume or JD may remain in their original language, but explain their meaning in Simplified Chinese.
• verdict, dimension key, and hard-constraint status must keep the English enum values from the output contract.

Scoring

• Technical skills: weight 30.
• Experience: weight 25.
• Behavioral and culture fit: weight 15.
• Career alignment: weight 30.
• Location and explicit hard constraints: pass, flag, fail, or unknown; do not include them in the weighted average.

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.

Integrity rules

1. Cite concrete resume facts and exact JD requirements.
2. Do not treat a keyword alone as proof of professional experience.
3. State meaningful gaps without converting them into experience.
4. Do not infer company culture beyond the posting; mark it unknown.
5. Return JSON only.

Output contract

{
  "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"
}