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claude-codescience

Babysitter graph-algorithm-library

Comprehensive graph algorithms implementation

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/mathematics/skills/graph-algorithm-library" ~/.claude/skills/a5c-ai-babysitter-graph-algorithm-library && rm -rf "$T"
manifest: library/specializations/domains/science/mathematics/skills/graph-algorithm-library/SKILL.md
tags
#graph-theory#network-analysis#algorithm-implementation#combinatorics#mathematics
source content

Graph Algorithm Library

Purpose

Provides comprehensive graph algorithms for combinatorial analysis and network computations.

Capabilities

  • Shortest path algorithms (Dijkstra, Bellman-Ford, Floyd-Warshall)
  • Network flow algorithms
  • Matching algorithms
  • Graph coloring
  • Planarity testing
  • Graph isomorphism

Usage Guidelines

  1. Representation: Choose appropriate graph representation
  2. Algorithm Selection: Match algorithm to problem structure
  3. Complexity Analysis: Consider time/space tradeoffs
  4. Sparse Graphs: Use specialized algorithms for sparse graphs

Tools/Libraries

  • NetworkX
  • igraph
  • LEMON
  • Boost Graph Library