Add Skill: graph-based-node-orchestration

Extracted from: https://github.com/temiroff/Blacknode.git
Score: 1.0

skills/graph-based-node-orchestration/SKILL.md

@@ -0,0 +1,108 @@
+---
+name: graph-based-node-orchestration
+version: 1.0.0
+description: Build a typed node graph that processes data through a sequence of operations
+  and produces a final result
+inputs:
+- NIM_MODEL constant (e.g., 'nim:meta/llama-3.1-8b-instruct') for the LLM model
+- blacknode package with Graph, Node, and cook functionality
+- Python script defining node types with inputs/outputs and connecting them via edges
+steps:
+- Import required modules (blacknode as bn, NIM_MODEL) and ensure API keys are available
+  via require_nim_api_key()
+- Create a bn.Graph() instance to hold all nodes and their connections
+- Define individual nodes with specific input/output parameters (e.g., Text node with
+  'value' input, LLMAgent node with model parameter, Output node with 'value' output)
+- Connect nodes together using edge definitions (from_port -> to_port) to establish
+  data flow
+- Execute the graph using g.cook() to run the pipeline and process data through the
+  node chain
+- Extract the final result from the output node to complete the workflow
+outputs:
+- A fully constructed graph with typed nodes and defined connections
+- Executed result (e.g., processed text, summary, or other output) from the final
+  node
+- A reusable pattern that can be adapted to different models, hardware, or task types
+tags: []
+metadata:
+  source_repo: https://github.com/temiroff/Blacknode.git
+  extracted_at: ''
+  confidence: 0.95
+---
+
+# graph-based-node-orchestration
+
+Build a typed node graph that processes data through a sequence of operations and produces a final result
+
+## Setup
+
+**Dependencies:**
+
+```text
+pip install blacknode >= 0.3.0 Python >= 3.11 NVIDIA NIM API key (optional but recommended) Anthropic, OpenAI, or other LLM models
+```
+
+**Setup steps:**
+
+1. Clone the repository and install dependencies: pip install -e .
+1. Set NVIDIA_API_KEY or other required API keys in .env
+1. Run the example script: python examples/hello_agent.py
+1. For production, configure hardware pairing and deploy via the blacknode CLI
+
+## Key Files
+
+- `examples/converted_nvidia_nim.py - Full graph with Model, Text, LLMAgent, Output nodes`
+- `examples/hello_agent.py - Minimal agent example connecting Literal → LLMAgent → Print`
+- `blacknode/core - Graph and node implementation (internal)`
+
+## Steps
+
+1. Import required modules (blacknode as bn, NIM_MODEL) and ensure API keys are available via require_nim_api_key()
+2. Create a bn.Graph() instance to hold all nodes and their connections
+3. Define individual nodes with specific input/output parameters (e.g., Text node with 'value' input, LLMAgent node with model parameter, Output node with 'value' output)
+4. Connect nodes together using edge definitions (from_port -> to_port) to establish data flow
+5. Execute the graph using g.cook() to run the pipeline and process data through the node chain
+6. Extract the final result from the output node to complete the workflow
+
+## Implementation Details
+
+```python
+g = bn.Graph()
+```
+
+```python
+model = g.node('Model', **{'value': 'nim:meta/llama-3.1-8b-instruct'})
+```
+
+```python
+agent = g.node('LLMAgent', **{model})
+```
+
+```python
+result = g.cook(output, 'value')
+```
+
+## Inputs
+
+- NIM_MODEL constant (e.g., 'nim:meta/llama-3.1-8b-instruct') for the LLM model
+- blacknode package with Graph, Node, and cook functionality
+- Python script defining node types with inputs/outputs and connecting them via edges
+
+## Outputs
+
+- A fully constructed graph with typed nodes and defined connections
+- Executed result (e.g., processed text, summary, or other output) from the final node
+- A reusable pattern that can be adapted to different models, hardware, or task types
+
+## Failure Modes
+
+- Missing or invalid API key (NIM_API_KEY, OPENAI_API_KEY) causing require_nim_api_key() to fail
+- Type mismatch in node connections (e.g., expecting 'value' but receiving 'text') breaking the data flow
+- Model not available or unreachable (NIM_MODEL not found) causing the LLMAgent node to fail
+- Graph execution error due to incorrect edge configuration or circular dependencies
+- Resource exhaustion (e.g., GPU memory) when processing large inputs in the pipeline
+
+## Source
+
+Extracted from: [https://github.com/temiroff/Blacknode.git](https://github.com/temiroff/Blacknode.git)
+Confidence: 0.95

skills/graph-based-node-orchestration/commands.md

@@ -0,0 +1,6 @@
+# Commands: graph-based-node-orchestration
+
+## Available Commands
+
+- `/skill graph-based-node-orchestration` — Load this skill
+- `/run graph-based-node-orchestration` — Execute workflow

skills/graph-based-node-orchestration/examples.md

@@ -0,0 +1,10 @@
+# Examples: graph-based-node-orchestration
+
+## Usage Example
+
+```python
+# How to use this skill
+# Inputs: NIM_MODEL constant (e.g., 'nim:meta/llama-3.1-8b-instruct') for the LLM model, blacknode package with Graph, Node, and cook functionality, Python script defining node types with inputs/outputs and connecting them via edges
+# Process: Import required modules (blacknode as bn, NIM_MODEL) and ensure API keys are available via require_nim_api_key() → Create a bn.Graph() instance to hold all nodes and their connections → Define individual nodes with specific input/output parameters (e.g., Text node with 'value' input, LLMAgent node with model parameter, Output node with 'value' output)
+# Outputs: A fully constructed graph with typed nodes and defined connections, Executed result (e.g., processed text, summary, or other output) from the final node, A reusable pattern that can be adapted to different models, hardware, or task types
+```

skills/graph-based-node-orchestration/metadata.json

@@ -0,0 +1,34 @@
+{
+  "name": "graph-based-node-orchestration",
+  "version": "1.0.0",
+  "goal": "Build a typed node graph that processes data through a sequence of operations and produces a final result",
+  "inputs": [
+    "NIM_MODEL constant (e.g., 'nim:meta/llama-3.1-8b-instruct') for the LLM model",
+    "blacknode package with Graph, Node, and cook functionality",
+    "Python script defining node types with inputs/outputs and connecting them via edges"
+  ],
+  "steps": [
+    "Import required modules (blacknode as bn, NIM_MODEL) and ensure API keys are available via require_nim_api_key()",
+    "Create a bn.Graph() instance to hold all nodes and their connections",
+    "Define individual nodes with specific input/output parameters (e.g., Text node with 'value' input, LLMAgent node with model parameter, Output node with 'value' output)",
+    "Connect nodes together using edge definitions (from_port -> to_port) to establish data flow",
+    "Execute the graph using g.cook() to run the pipeline and process data through the node chain",
+    "Extract the final result from the output node to complete the workflow"
+  ],
+  "outputs": [
+    "A fully constructed graph with typed nodes and defined connections",
+    "Executed result (e.g., processed text, summary, or other output) from the final node",
+    "A reusable pattern that can be adapted to different models, hardware, or task types"
+  ],
+  "failure_modes": [
+    "Missing or invalid API key (NIM_API_KEY, OPENAI_API_KEY) causing require_nim_api_key() to fail",
+    "Type mismatch in node connections (e.g., expecting 'value' but receiving 'text') breaking the data flow",
+    "Model not available or unreachable (NIM_MODEL not found) causing the LLMAgent node to fail",
+    "Graph execution error due to incorrect edge configuration or circular dependencies",
+    "Resource exhaustion (e.g., GPU memory) when processing large inputs in the pipeline"
+  ],
+  "confidence": 0.95,
+  "explanation": "This workflow demonstrates a declarative graph-based orchestration pattern where nodes are connected via explicit ports and data flows through the graph. The pattern is highly reusable across different domains (robotics, research, data processing) because it separates graph structure from execution logic. The same graph construction and cook pattern can be adapted to different models (NIM, Anthropic, OpenAI), hardware targets (CPU, GPU, Jetson), and task types (LLM reasoning, file I/O, sensor processing).",
+  "source_repo": "https://github.com/temiroff/Blacknode.git",
+  "score": 1.0
+}

skills/graph-based-node-orchestration/tests.md

@@ -1,4 +1,4 @@
-# Tests: text-concatenation
+# Tests: graph-based-node-orchestration
 
 ## Test Checklist
 

skills/text-concatenation/SKILL.md

@@ -1,61 +0,0 @@
----
-name: text-concatenation
-version: 1.0.0
-description: Concatenate two text inputs using Blacknode node graph
-inputs:
-- text_a
-- text_b
-steps:
-- Create a Blacknode Graph instance
-- Add a Text node with param value set to text_a
-- Add a second Text node with param value set to text_b
-- Add a Concat node that accepts inputs 'a' and 'b' and outputs 'value'
-- Add an Output node with input port 'value'
-- Connect first Text node 'value' port to Concat 'a' port
-- Connect second Text node 'value' port to Concat 'b' port
-- Connect Concat 'value' port to Output 'value' port
-- Invoke graph cook on Output 'value' to evaluate and return result
-outputs:
-- concatenated_text
-tags: []
-metadata:
-  source_repo: https://github.com/temiroff/Blacknode.git
-  extracted_at: ''
-  confidence: 0.9
----
-
-# text-concatenation
-
-Concatenate two text inputs using Blacknode node graph
-
-## Steps
-
-1. Create a Blacknode Graph instance
-2. Add a Text node with param value set to text_a
-3. Add a second Text node with param value set to text_b
-4. Add a Concat node that accepts inputs 'a' and 'b' and outputs 'value'
-5. Add an Output node with input port 'value'
-6. Connect first Text node 'value' port to Concat 'a' port
-7. Connect second Text node 'value' port to Concat 'b' port
-8. Connect Concat 'value' port to Output 'value' port
-9. Invoke graph cook on Output 'value' to evaluate and return result
-
-## Inputs
-
-- text_a
-- text_b
-
-## Outputs
-
-- concatenated_text
-
-## Failure Modes
-
-- Port name mismatch causes connection error
-- Missing runtime or graph not initialized
-- Cook on nonexistent node returns error
-
-## Source
-
-Extracted from: [https://github.com/temiroff/Blacknode.git](https://github.com/temiroff/Blacknode.git)
-Confidence: 0.9

skills/text-concatenation/commands.md

@@ -1,6 +0,0 @@
-# Commands: text-concatenation
-
-## Available Commands
-
-- `/skill text-concatenation` — Load this skill
-- `/run text-concatenation` — Execute workflow

skills/text-concatenation/examples.md

@@ -1,10 +0,0 @@
-# Examples: text-concatenation
-
-## Usage Example
-
-```python
-# How to use this skill
-# Inputs: text_a, text_b
-# Process: Create a Blacknode Graph instance → Add a Text node with param value set to text_a → Add a second Text node with param value set to text_b
-# Outputs: concatenated_text
-```

skills/text-concatenation/metadata.json

@@ -1,32 +0,0 @@
-{
-  "name": "text-concatenation",
-  "version": "1.0.0",
-  "goal": "Concatenate two text inputs using Blacknode node graph",
-  "inputs": [
-    "text_a",
-    "text_b"
-  ],
-  "steps": [
-    "Create a Blacknode Graph instance",
-    "Add a Text node with param value set to text_a",
-    "Add a second Text node with param value set to text_b",
-    "Add a Concat node that accepts inputs 'a' and 'b' and outputs 'value'",
-    "Add an Output node with input port 'value'",
-    "Connect first Text node 'value' port to Concat 'a' port",
-    "Connect second Text node 'value' port to Concat 'b' port",
-    "Connect Concat 'value' port to Output 'value' port",
-    "Invoke graph cook on Output 'value' to evaluate and return result"
-  ],
-  "outputs": [
-    "concatenated_text"
-  ],
-  "failure_modes": [
-    "Port name mismatch causes connection error",
-    "Missing runtime or graph not initialized",
-    "Cook on nonexistent node returns error"
-  ],
-  "confidence": 0.9,
-  "explanation": "The repo contains example converted workflows; converted_text_pipeline.py demonstrates a simple reusable pattern of two source nodes feeding a concatenation node into an output, applicable to any string joining task in Blacknode.",
-  "source_repo": "https://github.com/temiroff/Blacknode.git",
-  "score": 1.0
-}