wuyang
106 lines
1.7 KiB
Markdown
106 lines
1.7 KiB
Markdown
# Industry Schema
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行业资料笔记使用 YAML frontmatter 加正文。
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## Frontmatter
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```yaml
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---
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type: industry
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company:
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team:
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title:
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url:
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source_name:
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source_type: technical-report / research-blog / engineering-blog / product-blog / product-doc / code-release / benchmark / talk / other
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source_quality: official / official-adjacent / secondary / unknown
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published_at:
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collected_at: YYYY-MM-DD
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status: queued / summarized / analyzed / deprecated
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topics:
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- agent
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implementation_signals:
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- tool-use
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product_area:
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- coding-agent
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models:
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-
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tools:
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-
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benchmarks:
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-
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related_papers:
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-
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related_jobs:
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-
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related_experiments:
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-
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related_projects:
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-
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evidence_level: high / medium / low
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relevance: high / medium / low
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---
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```
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## Body
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```text
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# <company> - <title>
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## One-line Takeaway
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一句话说明这条资料暴露了什么行业趋势或工程经验。
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## Source Snapshot
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来源、发布日期、采集日期、来源质量。
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## What They Built or Claimed
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公司发布了什么产品、系统、能力、报告或代码？
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## Technical Signals
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- architecture:
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- tool use:
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- memory:
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- evaluation:
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- safety:
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- deployment:
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- data:
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## Product and Business Signals
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- users:
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- scenario:
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- pricing / availability:
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- go-to-market:
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## Evidence Quality
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判断它是强证据还是弱信号。是否有论文、技术报告、benchmark、代码或只是营销描述？
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## Links
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- papers:
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- jobs:
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- experiments:
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- projects:
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- docs:
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## Gaps for Us
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-
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## Notes
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-
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```
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## Field Rules
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- `url` 和 `collected_at` 必填。
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- 优先官方来源；二手来源只能作为线索。
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- `evidence_level` 和 `source_quality` 必须分开：官方产品博客也可能证据很弱。
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- 技术细节不足时标记为 `low`，不要强行推断实现。
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