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concept-synthesis

Deduplicate concept stubs into tiered maps with frontmatter-guided output.

Updated May 16, 2026
Search Tags:#synthesis#deduplication#knowledge-management#canon#tiering#riff#concept-map
One-click install
npx skills add https://github.com/Morris-UTRUST/GBrain-knowledge --skill concept-synthesis-morris-utrust
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: concept-synthesis
Source: https://github.com/Morris-UTRUST/GBrain-knowledge/tree/main/skills/concept-synthesis
Command: npx skills add https://github.com/Morris-UTRUST/GBrain-knowledge --skill concept-synthesis-morris-utrust

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deduplicate and synthesize vast collections of raw concept stubs into a coherent, tiered map that reveals evolution from Canon to Riff, enabling clearer knowledge structures and actionable insights.

Core Features & Use Cases

  • Phase-driven dedup: merges duplicates, timelines, and aliases into canonical concepts.
  • Tiered synthesis: assigns T1–T4 tiers and generates evolution narratives for canonical concepts.
  • Cluster mapping: groups related concepts into domains and builds an intellectual universe map.

Quick Start

Instruct the agent to deduplicate raw concept stubs and generate a tiered map under concepts/.

Frequently Asked Questions about concept-synthesis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deduplicate raw concept stubs into a structured knowledge map?▼

To deduplicate raw concept stubs into a structured knowledge map, this Skill merges duplicates, timelines, and aliases into canonical concepts. It outputs a tiered intellectual map under a concepts/ directory using frontmatter-guided synthesis.

What is the best way to organize large research note collections by idea evolution?▼

Organizing large research note collections by idea evolution is best handled by assigning tier scores from T1 Canon to T4 Riff. This process generates evolution narratives and clusters related concepts into an intellectual universe map.

How does tier scoring work when synthesizing concept notes?▼

Tier scoring when synthesizing concept notes works by applying a phase-driven dedup process that assigns T1 to T4 tiers. T1 represents canonical concepts, while T4 captures riffs, tracing idea evolution across sources.

Can I use this to trace patterns and timelines across large note archives?▼

Yes, you can use this to trace patterns and timelines across large note archives. It applies deterministic dedup logic and cluster mapping to reveal clear canonical concepts and evolving clusters within your research notes.

Do I need any external dependencies to generate a tiered intellectual map?▼

You do not need any external dependencies to generate a tiered intellectual map. The Skill operates independently to deduplicate concept stubs and output frontmatter-guided files directly to your concepts/ directories.

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