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Generate one concise Chinese greeting for a recruiter using a target job and confirmed resume facts. Use when the user wants an opening message for BOSS or another direct recruiter conversation.
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Basé sur la classification professionnelle SOC
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.
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.
| name | greeting-message |
| description | Generate one concise Chinese greeting for a recruiter using a target job and confirmed resume facts. Use when the user wants an opening message for BOSS or another direct recruiter conversation. |
Write one natural sentence that helps the recruiter decide whether to continue the conversation.
Return JSON only:
{
"text": "您好，我有 RAG 与 Agent 工程落地经验，和贵司岗位较匹配，方便聊聊吗？",
"evidenceFactIds": ["fact-id"]
}