Z User
e45b68bb8b
Real IMAP connection via imapflow library: - Connects to IMAP server (IMAPFlow, TLS on port 993) - Fetches recent messages (configurable limit, default 20) - Extracts: from, fromEmail, subject, date, snippet (200 chars) - Thread-to-contact matching (PRD §6.1): 1. Match sender email against persons table 2. If no person match, extract domain and match against company.website 3. Returns matchedCompany + matchedPerson for each email - Audit-logged (action: crm.mailsync:imap) - Zod validated (host, port, user, password, folder, limit) - 502 on IMAP connection failure with detail - 400 on validation failure Tested: invalid creds → 502 'IMAP connection failed', missing host → 400
69 lines
2.3 KiB
Markdown
Executable File
69 lines
2.3 KiB
Markdown
Executable File
---
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name: gaokao-recommend-schools
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description: >-
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基于推荐专业列表、考生画像与志愿列表，由 Agent 分析推荐院校并给出个性化理由，
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输出结构化 school_recommendation.json。适用于高考院校推荐、选大学、冲稳保院校布局。
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---
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# 推荐院校与理由
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本 Skill 是流水线的**第四步**：在已确定专业方向的基础上，从 `parsed.json` 中推荐院校并说明理由。
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## 上下游
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- **上游**：`student.json` + `parsed.json` + `major_recommendation.json`
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- **下游**：[gaokao-generate-report](../gaokao-generate-report/SKILL.md)
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## 输入
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1. `student.json` — 意向城市、家庭、就业方向等
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2. `parsed.json` — 院校标签、城市、冲稳保档位、录取概率
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3. `major_recommendation.json` — 已推荐专业及方向，用于判断院校专业契合度
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## Agent 分析任务
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1. 优先推荐**包含已推荐专业**或**优势学科与专业方向契合**的院校。
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2. 结合 `preferred_cities`、城市产业机会（可参考 [career_reference.md](career_reference.md) 城市表）、院校层次（985/211/双一流等）。
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3. 兼顾冲/稳/保布局：核心目标放稳档，冲顶名校与保底院校均需有代表。
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4. 挑选 **6–12 所**院校，每所撰写个性化 `modal` 推荐理由。
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## 推荐理由应覆盖
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- **地域优势**：城市产业与实习就业资源
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- **院校层次**：标签与社会认可度
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- **专业契合**：与 `major_recommendation.json` 的关联
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- **录取性价比**：档位与概率是否匹配考生诉求
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## 硬性约束
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`recommended_schools` 每项的 `university_name`、`university_code` 必须与 `parsed.json` **完全一致**。
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## 输出
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保存为 `output/school_recommendation.json`，结构见 [examples/school_recommendation_template.json](examples/school_recommendation_template.json)。
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```json
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{
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"school_strategy": "院校布局策略（冲/稳/保如何分配）",
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"recommended_schools": [
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{
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"university_name": "...",
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"university_code": "...",
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"modal": {
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"title": "学校推荐原因：...",
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"body": "<h4>推荐原因</h4><ul><li>...</li></ul>"
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}
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}
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]
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}
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```
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## 向用户交付
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- 保存 JSON 绝对路径
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- 用自然语言解读院校推荐逻辑与梯度布局
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## 附加资源
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- [career_reference.md](career_reference.md) — 城市产业与院校层次参考
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