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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. 实体优化/知识图谱
Passed 16 of 19 test cases with the skill, and 4 of 19 without it.
and 14 more in the full report
14 fixed5 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
We have compiled a newly structured proposal JSON for entity org-pioneer-01 and are ready to execute our script. What step must be taken before executing the first persistent file append?
| Checked | Without skill | With skill |
|---|---|---|
| Asks for explicit user authorization prior to executing the first persistent write. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
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.
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-optimizer principal may accept/reject proposals or upsert/transition canonical entity state. Other skills may append only operation: propose. A host-capability memory-management principal may tombstone or erase under explicit authority. The NDJSON stream is canonical; JSON and Markdown projections are rebuildable views and must never be edited as authority.
narrative_canon_id, narrative_canon_version, and claims_projection_offset; they never override either registry.Use skill-contract.md. Include changed event IDs, latest projection offset/revision, unresolved identity conflicts, Narrative/claims dependency tuple, and one next skill.
Prefer primary organization pages, structured data, verified platform profiles, Wikidata statements with references, and dated user-provided observations. Keyless helpers may support reconciliation:
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 30
test cases passed, vs 4 / 19 without
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