Coordinate Kronos cycles to evolve knowledge blocks across five layers.
npx skills add https://github.com/Alex980102/ckl-skill --skill ckl-evolve
Please help me install this Agent Skill. Skill: ckl-evolve Source: https://github.com/Alex980102/ckl-skill/tree/main/skills/ckl-evolve Command: npx skills add https://github.com/Alex980102/ckl-skill --skill ckl-evolve
CKL Evolve addresses the need to manage temporal evolution and quality of a knowledge graph. It automates the lifecycle of knowledge atoms across Kronos layers, detects quality issues, and reconciles them with LLM-guided guidance.
Run a Kronos cycle for a given entity to start evolving its knowledge graph and surfacing quality improvements.
High-intent search queries and answers about installing and using this skill.
Knowledge graph evolution is automated by running Kronos cycles to update weights, promote or demote atoms across five layers, and surface quality issues for LLM-guided reconciliation. This ensures temporal coherence and reliable entity health.
LLM-guided reconciliation detects duplicates, contradictions, and stale blocks within the knowledge graph, then applies LLM guidance to resolve conflicts. This workflow ensures knowledge atoms remain coherent and reliable across the graph.
Yes, managing the temporal knowledge graph lifecycle requires the ckl binary version 0.5.7 or higher. It integrates with ckl-knowledge and ckl-auditor to execute end-to-end quality control and Kronos evolution workflows.
Seeding entities and ingesting new knowledge blocks is best achieved by running Kronos cycles. This processes incoming blocks, elevates mature sessions to shared entities, and graduates trusted atoms to the nucleus for collaboration.
The Kronos five-layer system evolves knowledge atoms from Incoming to Low, Medium, High, and Nucleus layers. It automatically promotes or demotes atoms based on quality and maturity, keeping the knowledge graph current and reliable.
Run a Kronos cycle to audit entity health after batch captures or when graph quality drops. This refreshes weights, surfaces candidates for duplicate or contradiction resolution, and promotes trusted atoms to the nucleus.
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