Score uncurated entities, merge aliases, and prune noise in a custom knowledge graph.
npx skills add https://github.com/JDHayesBC/Awareness --skill curate-jdhayesbc
Please help me install this Agent Skill. Skill: curate Source: https://github.com/JDHayesBC/Awareness/tree/main/.claude/skills/curate Command: npx skills add https://github.com/JDHayesBC/Awareness --skill curate-jdhayesbc
Curate passes address uncurated entities and edges in the custom knowledge graph, scoring importance, merging aliases, pruning noise, and enforcing TTL for technical artifacts to maintain coherent identity across sessions.
Run the curate pass during reflection cycles to clean and normalize the knowledge graph.
High-intent search queries and answers about installing and using this skill.
Knowledge graph curation cleans and enriches data by scoring uncurated entities, merging aliases, and pruning noise. This process maintains coherent identity and relationships across multiple sessions and contexts.
Resolving aliases into canonical entities in a Cypher graph involves merging duplicate entries during reflection cycles. This normalization ensures persistent AI memory maintains a coherent identity across sessions.
TTL enforcement for technical artifacts in a knowledge graph prunes expired data and applies lifecycle rules. This keeps the graph current by automatically removing outdated technical artifacts during curation passes.
You can safely test knowledge graph updates using dry-run mode and mandatory group_id filtering. These guardrails ensure reproducible, auditable changes by enforcing safe writes before modifying the graph.
You should run a curation pass during reflection cycles to clean and normalize the knowledge graph. This timing ensures uncurated entities, noisy relationships, and technical artifacts are processed systematically.
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