sicp

This Skill translates SICP.info chapters and sections into GF(3)-colored ACSet structures, preserving hierarchical organization and morphisms like next, prev, up, and cross-references. The transformation enables deterministic, balanced triadic processing of learning material while maintaining node types and relationships.

GF(3) coloring assigns balanced trit values to sections, enabling trifurcated parallel processing and conservation verification across SICP's hierarchical structure. It partitions learning content into three symmetric groups, supporting modular reasoning and cross-reference validation.

Yes. This Skill maps SICP.info into ACSet nodes, edges, and content with deterministic GF(3) coloring, exposing morphisms that encode chapter hierarchy, section sequences, and cross-references for exploration, verification, and translation workflows.

The Skill preserves next, prev, up, and menu morphisms encoding sequential and hierarchical relationships, plus xref for cross-references. These morphisms maintain InfoTopos structure and enable verification that the SkillTopos representation is GF(3)-conserved.

The Skill handles GF(3) coloring and morphism translation automatically. Users benefit from familiarity with SICP's computational thinking framework and basic ACSet concepts, but the deterministic pipeline manages algebraic details.

Output is a GF(3)-colored ACSet with typed nodes representing chapters and sections, edges encoding hierarchies and sequences, and content fields preserving original material. The structure supports deterministic querying, trifurcated processing, and conservation verification.