entity-registry
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
npx skills add aaron-he-zhu/aaron-marketing-skills --skill entity-registry --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 optional rendered views. **Writes:** authorized entity events through `scripts/registry-events.py`; a Markdown view under `memory/entities/` may then be regenerated from accepted projection state. **Done when:** the six signal categories have Pass/Partial/Fail/Unknown observations with evidence, identity conflicts are resolved or left open, every accepted change has an event ID/offset/revision, and `verify entities` passes. Only a host-capability `entity-registry` principal may accept/reject proposals o
- Quick Start
- Skill Contract
- Layer Boundary
- Handoff Summary
- Data Sources
- Decision Gates
- Instructions
- Runtime Reads
- Procedure
- Save Results
- Reference Materials
- Next Best Skill
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/kg.py" reconcile "<entity>"
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/kg.py" entity "<QID>"
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/pageviews.py" "<Article_Title>" --months 12
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/gdelt.py" '"<entity>"' --days 30What does the entity-registry skill do?
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
How do I install it?
Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill entity-registry --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From aaron-he-zhu/aaron-marketing-skills, a repository with 2,508 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.