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Skill v1.0.0
currentAutomated scan100/100kyle-kw/ai-job-app/job-fit
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PublishedNovember 6, 2026 at 12:12 AM
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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. metadata: version: "1.0.0"
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, dimensionlabelandnote, hard-constraintlabelandnote, everystrengthsitem, and everygapsitem. - 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, dimensionkey, and hard-constraintstatusmust 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
- Cite concrete resume facts and exact JD requirements.
- Do not treat a keyword alone as proof of professional experience.
- State meaningful gaps without converting them into experience.
- Do not infer company culture beyond the posting; mark it unknown.
- Return JSON only.
Output contract
json
{"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"}