Gsd-skill-creator mfe-synthesis

Meta-mathematical connections, cross-domain synthesis, and the Complex Plane as a navigational tool. Classifies problems by quadrant (Abstract/Embodied x Logic/Creativity), routes them to relevant domains, and traces dependency chains. Use when classifying mathematical problems across domains, navigating the Complex Plane of Experience, finding cross-domain connections, or building multi-domain solution strategies.

install
source · Clone the upstream repo
git clone https://github.com/Tibsfox/gsd-skill-creator
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/Tibsfox/gsd-skill-creator "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/mfe-domains/synthesis" ~/.claude/skills/tibsfox-gsd-skill-creator-mfe-synthesis && rm -rf "$T"
manifest: skills/mfe-domains/synthesis/SKILL.md
source content

Synthesis

Part X: Being — Chapters 32, 33 — Plane Position: (0, 0) radius 0.6 — 35 Primitives

Workflow

  1. Classify the problem using Position-Based Classification to determine its Complex Plane coordinates (real axis: logic↔creativity, imaginary axis: embodied↔abstract)
  2. Identify active domains via Domain Activation — check which of the 10 domain regions contain the problem position
  3. Plan navigation path through activated domains in dependency order, minimizing traversal cost
  4. Apply cross-quadrant composition when the problem spans multiple quadrants — use bridge primitives for distant concepts (distance > 0.8)
  5. Trace the dependency chain back to foundations to verify all prerequisites are covered

Key Concepts

Complex Plane of Experience (definition): The Complex Plane of Experience is a two-axis classification framework for mathematical concepts: the real axis spans from pure logic (-1) to pure creativity (+1), the imaginary axis spans from pure embodied (-1) to pure abstract (+1). Every mathematical concept occupies a position on this plane.

  • Classifying mathematical problems by their character and abstraction level
  • Organizing an entire mathematical curriculum into a navigable landscape
  • Determining which mathematical domains are relevant to a given problem

Quadrant Classification (technique): The Complex Plane divides into four quadrants, each with distinct mathematical character: Q1 (Abstract+Creative): pure mathematics, category theory, topology; Q2 (Abstract+Logical): formal methods, proof theory, mathematical logic; Q3 (Embodied+Logical): applied science, physics, engineering; Q4 (Embodied+Creative): design, simulation, computational art.

  • Quickly classifying a mathematical concept by its nature
  • Organizing curriculum by quadrant for balanced learning
  • Identifying which thinking mode a problem requires

Domain Positioning (definition): Each of the 10 mathematical domains occupies a region on the Complex Plane defined by a center position and radius: Perception (-0.2, 0.2, r=0.4), Waves (-0.4, 0.0, r=0.4), Change (0.0, -0.2, r=0.4), Structure (-0.3, 0.5, r=0.4), Reality (0.3, -0.4, r=0.35), Foundations (-0.6, 0.6, r=0.35), Mapping (0.2, 0.4, r=0.4), Unification (0.0, 0.6, r=0.3), Emergence (0.5, 0.0, r=0.4), Synthesis (0.0, 0.0, r=0.6).

  • Mapping which domains cover which areas of the mathematical plane
  • Identifying which domains overlap for cross-domain composition
  • Routing problems to the most relevant domain based on plane position

Mathematical Dependency Chain (definition): Every complex mathematical concept traces back to simpler foundations through a directed acyclic graph of dependencies. A dependency chain is a path from a complex theorem back to the axioms it ultimately rests on. The length of the longest dependency chain in the MFE measures the depth of mathematical knowledge.

  • Understanding the logical foundations of any mathematical result
  • Finding the minimal prerequisites for learning a concept
  • Tracing the intellectual history of mathematical ideas

Cross-Quadrant Composition (technique): The most powerful mathematical techniques combine concepts from different quadrants of the Complex Plane. Cross-quadrant composition bridges abstract and embodied, logical and creative, yielding solutions that neither quadrant alone could produce. The composition cost increases with plane distance.

  • Solving problems that require combining abstract theory with practical application
  • Finding creative approaches by crossing between logical and creative quadrants
  • Building mathematical bridges between theory and computation

Plane Navigation (technique): Plane navigation is the technique of tracing paths through the Complex Plane from a problem's position to the primitives needed for its solution. A valid navigation path visits domains in dependency order, respecting prerequisite relationships, and minimizes total traversal cost.

  • Finding the mathematical tools needed to solve a problem
  • Building step-by-step solution strategies across domains
  • Optimizing the order in which mathematical concepts are applied

Position-Based Classification (technique): Position-based classification maps a problem description to a Complex Plane position by analyzing its mathematical character: the logic-creativity balance (real axis) and the abstraction level (imaginary axis). Keyword patterns, domain activation signals, and structural cues determine the position.

  • Automatically categorizing mathematical problems by their nature
  • Routing student questions to the right area of mathematics
  • Determining what kind of mathematical thinking a problem requires

Domain Activation (technique): Domain activation determines which of the 10 mathematical domains are relevant to a given problem based on its plane position. A domain is activated if the problem position falls within the domain's region. Multi-domain activation occurs for problems near domain boundaries or in overlapping regions.

  • Determining which mathematical tools are most relevant to a problem
  • Handling multi-domain problems that span several areas of mathematics
  • Providing ranked domain recommendations for problem-solving

Plane Distance Metric (definition): The distance between two concepts on the Complex Plane determines their composition compatibility. Distance d(A,B) = sqrt((r_A - r_B)^2 + (i_A - i_B)^2) with composition cost proportional to d. Close concepts (d < 0.3) compose easily; distant concepts (d > 0.8) require bridge primitives.

  • Estimating how difficult it is to connect two mathematical concepts
  • Planning the most efficient path between concepts
  • Identifying when bridge concepts are needed for composition

The Through-Line (identity): The through-line is the narrative and mathematical thread connecting all 33 chapters of The Space Between, from counting to complexity. It traces a quark's journey from origin to present, passing through every mathematical layer: numbers -> geometry -> waves -> calculus -> algebra -> physics -> foundations -> mapping -> unification -> emergence -> synthesis.

  • Understanding how mathematics builds on itself from foundations
  • Seeing the connections between apparently unrelated mathematical fields
  • Using the mathematical progression as a guide for learning

Composition Patterns

  • Complex Plane of Experience + mapping-functor -> Functorial mapping between the Complex Plane positions and domain structures (parallel)
  • Quadrant Classification + synthesis-domain-activation -> Multi-quadrant problem decomposition strategy (sequential)
  • Domain Positioning + synthesis-complex-plane -> Complete domain map: the 10-domain atlas of mathematical knowledge (parallel)
  • Cross-Quadrant Composition + synthesis-plane-navigation -> Optimal cross-quadrant solution paths that minimize total composition cost (sequential)
  • Plane Navigation + synthesis-domain-activation -> Problem-driven domain selection and primitive retrieval (sequential)
  • Position-Based Classification + mapping-bayes-theorem -> Bayesian problem classification that updates position with evidence (sequential)
  • Domain Activation + synthesis-position-classification -> Complete problem-to-domain routing pipeline (sequential)
  • Multi-Domain Problem Solving + synthesis-foundational-decomposition -> Complete multi-domain solution with verified composition chain (sequential)
  • Abstraction Gradient + synthesis-foundational-decomposition -> Abstraction ladder: move up to find the right level of generality, then back down to compute (sequential)
  • Logic-Creativity Balance + synthesis-abstraction-gradient -> Full 2D navigation strategy: adjust both abstraction and approach simultaneously (parallel)

Cross-Domain Links

  • perception: Compatible domain for composition and cross-referencing
  • waves: Compatible domain for composition and cross-referencing
  • change: Compatible domain for composition and cross-referencing
  • structure: Compatible domain for composition and cross-referencing
  • reality: Compatible domain for composition and cross-referencing
  • foundations: Compatible domain for composition and cross-referencing
  • mapping: Compatible domain for composition and cross-referencing
  • unification: Compatible domain for composition and cross-referencing
  • emergence: Compatible domain for composition and cross-referencing

Activation Patterns

  • connection
  • through-line
  • plane
  • meta
  • overview
  • cross-domain
  • integration
  • wholeness