Deduplicate concept stubs, assign tiers, and generate a tiered intellectual map.
npx skills add https://github.com/weiping/gbrain-cn --skill concept-synthesis
Please help me install this Agent Skill. Skill: concept-synthesis Source: https://github.com/weiping/gbrain-cn/tree/main/skills/concept-synthesis Command: npx skills add https://github.com/weiping/gbrain-cn --skill concept-synthesis
Raw concept stubs created during ingestion quickly become duplicated, flat, and unconnected, leaving you without a coherent intellectual map or traceable idea evolution.
Tell your agent to run concept synthesis to dedupe concept stubs, assign tiers, and produce the concepts intellectual map.
High-intent search queries and answers about installing and using this skill.
To deduplicate concept stubs, you can run concept synthesis to deterministically merge near-duplicates using string and title overlap alongside semantic duplicate detection, while preserving aliases and timelines.
Organizing a flat knowledge base into a tiered intellectual map requires scoring canonical concepts by frequency, timespan, and breadth, then assigning them to T1 Canon, T2 Developing, T3 Speculative, or T4 Riff tiers.
Tracing idea evolution across sources over time is achieved by generating verifiable, quote-grounded LLM synthesis for T1 and T2 concepts and clustering tiered concepts into named intellectual domains.
You need canonicalization and tier scoring when your ingestion pipelines generate many near-duplicate concept pages, leaving your knowledge base flat and unconnected without a coherent intellectual map.
bish-xDeduplicate and tier concept stubs into a structured intellectual map.
costiashDetect and merge duplicate entities in Knowledge Graph projects.
spideynoloveCompare embedding models and define chunking strategies for RAG pipelines.
Zoomma1Generate and curate a project knowledge graph with graphify.
