Claude-skill-registry graph-based-ui-decomposition
Apply graph theory to decompose large UIs into optimal rendering subgraphs.
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/graph-based-ui-decomposition" ~/.claude/skills/majiayu000-claude-skill-registry-graph-based-ui-decomposition && rm -rf "$T"
manifest:
skills/data/graph-based-ui-decomposition/SKILL.mdsource content
Graph-Based UI Decomposition (React 18)
Summary
Apply graph theory to decompose large UIs into optimal rendering subgraphs.
Key Capabilities
- Model component dependencies as directed acyclic graphs.
- Identify cut vertices for resilient boundary placement.
- Compute modular partitions that minimize re-render propagation.
PhD-Level Challenges
- Prove optimal boundary placement under cost constraints.
- Evaluate partition stability under frequent feature churn.
- Compare spectral vs heuristic partitioning for UI graphs.
Acceptance Criteria
- Deliver a dependency graph and partition report.
- Demonstrate measurable render isolation improvements.
- Document the algorithm used for partitioning.