graph-algorithm-selector
Select optimal graph algorithm based on problem constraints
npx skills add a5c-ai/babysitter --skill graph-algorithm-selector --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Graph Algorithm Selector Skill ## Purpose Select the optimal graph algorithm based on problem constraints, graph properties, and performance requirements. ## Capabilities - Constraint analysis for algorithm selection - Trade-off analysis (Dijkstra vs Bellman-Ford vs Floyd-Warshall) - Special case detection (sparse vs dense, negative edges) - Algorithm complexity mapping to constraints - Suggest algorithm variants and optimizations ## Target Processes - shortest-path-algorithms - advanced-graph-algorithms - graph-traversal - graph-modeling ## Algorithm Selection Matrix ### Shortest Path | Scenario | Algorithm | Complexity | |----------|-----------|------------| | Unweighted | BFS | O(V+E) | | Non-negative weights | Dijkstra | O((V+E)log V) | | Negative weights | Bellman-Ford | O(VE) | | All pairs | Floyd-Warshall | O(V^3) | | DAG | Topological + DP | O(V+E) | ### MST | Scenario | Algorithm | Complexity | |----------|-----------|------------| | Sparse graph | Kruskal | O(E log E) | | Dense graph | Prim | O(V^2) or O(E log V) | ## Input Schema ```json { "type": "object", "properties": { "problemType": { "type": "string", "enum": ["shortestPath", "mst", "connectivity", "flow", "match
- Purpose
- Capabilities
- Target Processes
- Algorithm Selection Matrix
- Shortest Path
- MST
- Input Schema
- Output Schema
What does the graph-algorithm-selector skill do?
Select optimal graph algorithm based on problem constraints
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill graph-algorithm-selector --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.