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agent/jobs/schema.md
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# Jobs Schema
JD 笔记使用 YAML frontmatter 加正文。
## Frontmatter
```yaml
---
type: job
company:
role:
location: 北京
source_url:
source_name:
source_quality: official / job-board / social / secondary / unknown
collected_at: YYYY-MM-DD
posted_at:
first_seen_at:
last_checked_at:
snapshot_type: new / changed / unchanged / expired
job_code:
previous_snapshot:
status: active / expired / unknown
level:
team:
business_area:
employment_type:
salary:
skills:
- agent
- rag
topics:
- tool-use
- evaluation
models:
-
related_papers:
-
related_experiments:
-
related_projects:
-
relevance: high / medium / low
---
```
## Body
```text
# <company> - <role>
## Source Snapshot
来源、采集日期、是否北京岗位、是否仍可访问。
## Change Snapshot
用于记录最近 6 个月窗口内的变化:
- first_seen_at:
- last_checked_at:
- snapshot_type:
- previous_snapshot:
- changed_fields:
## Raw JD Summary
用自己的话概括岗位职责、任职要求和加分项。不要无选择地复制长段原文。
## Responsibilities
-
## Requirements
-
## Bonus Points
-
## Extracted Signals
- hard requirements:
- preferred skills:
- hidden signals:
- business direction:
## Knowledge Links
- concepts:
- papers:
- experiments:
- projects:
## Gaps for Us
-
## Notes
-
```
## Field Rules
- `source_url` 必填,除非来源是用户直接提供的截图或文本。
- `collected_at` 必填,因为 JD 是强时效资料。
- `first_seen_at``last_checked_at` 用于追踪近 6 个月需求变化。
- `snapshot_type=changed` 时必须写 `previous_snapshot` 或在正文说明变化依据。
- `skills` 使用 [skill-taxonomy](skill-taxonomy.md) 中的标签,新增标签要同步补充说明。
- `Raw JD Summary` 只做摘要和结构化提取,避免长篇搬运。
- `Extracted Signals` 是最重要部分:它把 JD 从资料变成判断。