Graph Algorithm Library
SkillDev toolsComprehensive graph algorithms implementation
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Graph Algorithm Library skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/mathematics/skills/graph-algorithm-library/SKILL.md and read by ahel’s review.
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
- Representation: Choose appropriate graph representation
- Algorithm Selection: Match algorithm to problem structure
- Complexity Analysis: Consider time/space tradeoffs
- Sparse Graphs: Use specialized algorithms for sparse graphs
Tools/Libraries
- NetworkX
- igraph
- LEMON
- Boost Graph Library
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
graph-algorithm-library- Source
- github.com/a5c-ai/babysitter