Graph Modeler Skill
SkillDev toolsConvert problem descriptions into graph representations
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 Modeler Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/algorithms-optimization/skills/graph-modeler/SKILL.md and read by ahel’s review.
Purpose
Convert problem descriptions into appropriate graph representations, identifying entities as nodes and relationships as edges.
Capabilities
- Entity-to-node mapping from problem text
- Relationship-to-edge mapping
- Graph property detection (bipartite, DAG, tree, etc.)
- Suggest optimal representation (adjacency list vs matrix)
- Generate graph visualization
- Identify implicit graph structures
Target Processes
- graph-modeling
- shortest-path-algorithms
- graph-traversal
- advanced-graph-algorithms
Graph Modeling Framework
- Entity Identification: What objects/states become nodes?
- Relationship Analysis: What connections become edges?
- Edge Properties: Directed? Weighted? Capacities?
- Graph Properties: Special structure to exploit?
- Representation Choice: List vs matrix vs implicit?
Input Schema
{
"type": "object",
"properties": {
"problemDescription": { "type": "string" },
"constraints": { "type": "object" },
"examples": { "type": "array" },
"outputFormat": {
"type": "string",
"enum": ["analysis", "code", "visualization"]
}
},
"required": ["problemDescription"]
}
Output Schema
{
"type": "object",
"properties": {
"success": { "type": "boolean" },
"nodes": { "type": "object" },
"edges": { "type": "object" },
"properties": {
"type": "object",
"properties": {
"directed": { "type": "boolean" },
"weighted": { "type": "boolean" },
"bipartite": { "type": "boolean" },
"dag": { "type": "boolean" },
"tree": { "type": "boolean" }
}
},
"representation": { "type": "string" },
"suggestedAlgorithms": { "type": "array" }
},
"required": ["success"]
}
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
graph-modeler- Source
- github.com/a5c-ai/babysitter