Agent skill

dotnet-managedcode-orleans-graph

Integrate ManagedCode.Orleans.Graph into an Orleans-based .NET application for graph-oriented relationships, edge management, and traversal logic on top of Orleans grains. Use when the application models graph structures in a distributed Orleans system.

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npx add-skill https://github.com/managedcode/dotnet-skills/tree/main/catalog/Libraries/ManagedCode-Orleans-Graph/skills/dotnet-managedcode-orleans-graph

SKILL.md

ManagedCode.Orleans.Graph

Trigger On

  • integrating ManagedCode.Orleans.Graph into an Orleans-based system
  • modeling graph relationships, edges, or traversal behavior with Orleans grains
  • reviewing graph-oriented distributed workflows on top of Orleans
  • deciding whether a graph abstraction is the right fit vs relational modeling

Workflow

  1. Install the library:
    bash
    dotnet add package ManagedCode.Orleans.Graph
    
  2. Confirm the application has a real graph problem — node-to-node relationships, directed/undirected edges, or traversal queries. If the data is tabular or hierarchical, prefer standard Orleans grain patterns instead.
  3. Model graph entities as grains:
    • nodes map to grain identities
    • edges represent relationships between grains
    • traversal operations query across grain boundaries
  4. Implement graph operations:
    csharp
    // Define a graph grain interface
    public interface IGraphGrain : IGrainWithStringKey
    {
        Task AddEdge(string targetId, string edgeType);
        Task<IReadOnlyList<string>> GetNeighbors(string edgeType);
        Task<bool> HasEdge(string targetId, string edgeType);
        Task RemoveEdge(string targetId, string edgeType);
    }
    
  5. Keep Orleans runtime concerns explicit:
    • grain identity determines the node identity
    • persistence provider stores edge state
    • grain activation lifecycle affects traversal latency
  6. Add traversal logic for multi-hop queries:
    csharp
    // Breadth-first traversal across grains
    public async Task<IReadOnlyList<string>> TraverseAsync(
        IGrainFactory grainFactory, string startId, string edgeType, int maxDepth)
    {
        var visited = new HashSet<string>();
        var queue = new Queue<(string Id, int Depth)>();
        queue.Enqueue((startId, 0));
    
        while (queue.Count > 0)
        {
            var (currentId, depth) = queue.Dequeue();
            if (!visited.Add(currentId) || depth >= maxDepth) continue;
    
            var grain = grainFactory.GetGrain<IGraphGrain>(currentId);
            var neighbors = await grain.GetNeighbors(edgeType);
            foreach (var neighbor in neighbors)
                queue.Enqueue((neighbor, depth + 1));
        }
        return visited.ToList();
    }
    
  7. Validate that traversal and relationship operations work against real Orleans clusters, not only unit tests with mock grain factories.
mermaid
flowchart LR
  A["Graph request"] --> B["Resolve node grain"]
  B --> C["Query edges from grain state"]
  C --> D{"Traversal needed?"}
  D -->|Yes| E["Multi-hop grain calls"]
  D -->|No| F["Return direct neighbors"]
  E --> G["Aggregate results"]
  F --> G

Deliver

  • concrete guidance on when Orleans.Graph is the right abstraction vs standard grain patterns
  • graph grain interface patterns with edge management
  • traversal implementation that respects Orleans distributed execution
  • verification expectations for real graph flows

Validate

  • the application has a genuine graph problem, not a generic relational one
  • graph integration does not blur grain identity and traversal concerns
  • edge persistence is configured for the correct Orleans storage provider
  • traversal operations are tested against a real Orleans cluster, not only mocks
  • multi-hop queries have bounded depth to prevent runaway grain activations

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