entity-registry

仓库创建 2025年12月18日最近提交 1 天前SkillHot 收录 4 小时前

▸ 精选理由

适合需要机器级实体一致性与可追溯知识库、提升实体识别稳定性的团队。

▸ 风险提示

可能处理敏感或受保护的实体信息，部署时注意隐私与合规。

这个 Skill 做什么

维护机器可读的实体登记表，记录身份、sameAs 与识别证据及其溯源。

维护机器可读的实体登记表，记录实体的身份标识、sameAs 链接、识别证据及其来源溯源，供知识图谱和自动识别系统使用。用在合并重复实体、更新权威 ID（如 Wikidata）或把识别证据标准化时，不负责页面级引用或品牌话术。核心是可审计、机器友好的身份事实管理。

▸ 展开 SKILL.md 英文原文

Use when the user asks to "optimize entity presence", reconcile an entity identity, or update canonical Knowledge Graph facts; audits and maintains machine-facing identity, sameAs, schema, disambiguation, and AI-recognition evidence through the entities registry. Not for page-level AI-citation readiness - use geo-content-optimizer; not for human-facing brand canon - use narrative-registry. 实体注册/知识图谱

数据与抓取实体管理知识图谱溯源证据通用

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安装 / 使用

给你的 Agent 一句话（通用）

帮我安装这个 skill：https://raw.githubusercontent.com/aaron-he-zhu/aaron-marketing-skills/main/protocol/entity-registry/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/aaron-he-zhu/aaron-marketing-skills/main/protocol/entity-registry/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

# Entity Registry

The canonical machine-facing entity authority. It records identity and recognition facts with provenance; it does not own positioning, brand voice, claim approval, or page copy.

## Quick Start

```text
Audit entity recognition for organization acme-analytics.
Review pending entity proposals and reconcile duplicate IDs.
Record a verified Wikidata QID and sameAs set for entity-7f42.
Diagnose why AI systems confuse this entity with another organization.
```

## Skill Contract

**Unit:** one stable, non-PII entity aggregate ID. **Reads:** `memory/events/entities.ndjson`, `memory/projections/entities.json`, the Narrative and claims projections, verified source records, and opt

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