Generate a causal GRINDE map with a Mermaid diagram from complex material.
npx skills add https://github.com/Ivcota/skills --skill bear-hunter-system
Please help me install this Agent Skill. Skill: bear-hunter-system Source: https://github.com/Ivcota/skills/tree/main/bear-hunter-system Command: npx skills add https://github.com/Ivcota/skills --skill bear-hunter-system
The Bear Hunter System (BHS) provides a structured method to encode complex material into a causal GRINDE map, targeting 80-95% retention by organizing knowledge into layers: Backbone, Concepts, Details, and Arbitrary. It guides users who want to learn a topic, study challenging material, build a GRINDE map, or encode information quickly, while surfacing triggers like bear hunter, GRINDE map, layers of learning, or backbone and concepts.
Start by asking the user what topic they want to learn and begin building the GRINDE map together.
High-intent search queries and answers about installing and using this skill.
To structure study material for maximum retention, you extract a lean causal backbone of 2-6 nodes, add conceptual layers, and validate directions to prevent reverse causality. This GRINDE map method targets 80-95% retention.
A GRINDE map is a layered knowledge structure that organizes complex material into Backbone, Concepts, Details, and Arbitrary layers. It helps learning by establishing a causal mental model that maximizes long-term retention.
To build a mind map from unstructured notes, you process the source material through phased extraction to identify a core backbone, validate user-led conceptual directions, and generate a Mermaid diagram with clear layering.
Yes, causal mapping handles uncertain sources, notes, and documents by generating a validated backbone and adding conceptual meat through interactive phases. This ensures ownership of the mental model despite source ambiguity.
The best way to validate a knowledge backbone is through interactive user-led decisions during the extraction phases. This avoids accidental imposition, prevents reverse causality, and promotes ownership of the mental model.
Yes, the learning system outputs Mermaid-compatible GRINDE diagrams with clear layering and optional cross-connections for critical relationships. These diagrams are generated in the final phase for easy sharing.
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