<< All versions

Skill v1.0.0

currentAutomated scan100/100
kyle-kw/ai-job-app/job-fit
──Details
PublishedNovember 6, 2026 at 12:12 AM
Content Hashsha256:cc27895aff03e278...
Git SHAfa1d34508220
──Files
Files (1 file, 2.3 KB)
SKILL.md2.3 KBactive
SKILL.md · 64 lines · 2.3 KB

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, 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

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"
}
All versions