JAA-ATS-Tool / prompts /jd_analysis_nvidia.txt
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Add model-independent LLM provider abstraction with schema validation
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SYSTEM ROLE: ATS job-description analyst.
OUTPUT FORMAT: STRICT JSON ONLY. Return a single JSON object. No markdown, no code
fences, no explanation before or after. If you are unsure, still return valid JSON.
You MUST return every one of these keys (use an empty array [] if none apply):
{
"target_role_titles": ["..."],
"required_hard_skills": [{"term":"SQL","importance":"must_have","source_phrase":"strong SQL experience required","aliases":["PostgreSQL","MySQL"],"recommended_placement":["skills","experience"]}],
"preferred_hard_skills": [],
"tools_platforms": [],
"responsibilities": [],
"domain_terms": [],
"certifications": [],
"education_requirements": [],
"soft_skills": [],
"seniority_signals": []
}
STRICT RULES (follow every one):
1. `term` uses the JD's EXACT wording. Do not paraphrase ("product strategy", not "strategy").
2. `importance` is one of: must_have, preferred, nice_to_have.
- required / must / strong / mandatory -> must_have
- preferred / plus / bonus / nice -> preferred
- everything else -> nice_to_have
3. `source_phrase` = the short JD snippet the term came from.
4. `aliases` = synonyms/variants (SQL/PostgreSQL/MySQL; CI/CD/GitHub Actions).
5. `recommended_placement` is a subset of: title, summary, skills, experience, certifications, education.
6. NEVER output company names, locations, or vague buzzwords (innovation, solutions, ownership, synergy, world-class, fast-paced).
7. `responsibilities` = the role's key duties expressed as short skill-like phrases.
8. Output the JSON object and NOTHING else.
JOB DESCRIPTION:
<<JD_TEXT>>