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 Hermes Pipeline
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---
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name: blacknode-text-concatenation-workflow
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version: 1.0.0
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description: Concatenate two text strings using a Blacknode graph of Text, Concat,
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and Output nodes.
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inputs:
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- 'text_a: string'
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- 'text_b: string'
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steps:
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- Initialize a Blacknode Graph object.
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- Add a Text node with parameter value set to text_a.
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- Add a second Text node with parameter value set to text_b.
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- Add a Concat node (no parameters required).
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- Add an Output node (no parameters required).
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- Connect the 'value' output port of the first Text node to the 'a' input port of
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the Concat node.
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- Connect the 'value' output port of the second Text node to the 'b' input port of
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the Concat node.
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- Connect the 'value' output port of the Concat node to the 'value' input port of
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the Output node.
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- Evaluate the graph by cooking the Output node's 'value' port to obtain the concatenated
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result.
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outputs:
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- 'concatenated_text: string'
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tags: []
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metadata:
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source_repo: https://github.com/temiroff/Blacknode.git
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extracted_at: ''
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confidence: 0.95
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---
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# blacknode-text-concatenation-workflow
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Concatenate two text strings using a Blacknode graph of Text, Concat, and Output nodes.
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## Steps
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1. Initialize a Blacknode Graph object.
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2. Add a Text node with parameter value set to text_a.
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3. Add a second Text node with parameter value set to text_b.
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4. Add a Concat node (no parameters required).
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5. Add an Output node (no parameters required).
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6. Connect the 'value' output port of the first Text node to the 'a' input port of the Concat node.
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7. Connect the 'value' output port of the second Text node to the 'b' input port of the Concat node.
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8. Connect the 'value' output port of the Concat node to the 'value' input port of the Output node.
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9. Evaluate the graph by cooking the Output node's 'value' port to obtain the concatenated result.
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## Inputs
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- text_a: string
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- text_b: string
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## Outputs
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- concatenated_text: string
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## Failure Modes
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- Node types 'Text', 'Concat', or 'Output' not registered in Blacknode runtime
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- Port name mismatches during edge creation
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- Missing input values causing empty concatenation
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- Graph evaluation error if cycles or disconnected required ports
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## Source
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Extracted from: [https://github.com/temiroff/Blacknode.git](https://github.com/temiroff/Blacknode.git)
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Confidence: 0.95
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# Commands: blacknode-text-concatenation-workflow
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## Available Commands
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- `/skill blacknode-text-concatenation-workflow` — Load this skill
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- `/run blacknode-text-concatenation-workflow` — Execute workflow
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# Examples: blacknode-text-concatenation-workflow
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## Usage Example
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```python
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# How to use this skill
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# Inputs: text_a: string, text_b: string
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# Process: Initialize a Blacknode Graph object. → Add a Text node with parameter value set to text_a. → Add a second Text node with parameter value set to text_b.
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# Outputs: concatenated_text: string
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```
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{
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"name": "blacknode-text-concatenation-workflow",
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"version": "1.0.0",
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"goal": "Concatenate two text strings using a Blacknode graph of Text, Concat, and Output nodes.",
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"inputs": [
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"text_a: string",
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"text_b: string"
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],
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"steps": [
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"Initialize a Blacknode Graph object.",
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"Add a Text node with parameter value set to text_a.",
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"Add a second Text node with parameter value set to text_b.",
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"Add a Concat node (no parameters required).",
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"Add an Output node (no parameters required).",
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"Connect the 'value' output port of the first Text node to the 'a' input port of the Concat node.",
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"Connect the 'value' output port of the second Text node to the 'b' input port of the Concat node.",
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"Connect the 'value' output port of the Concat node to the 'value' input port of the Output node.",
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"Evaluate the graph by cooking the Output node's 'value' port to obtain the concatenated result."
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],
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"outputs": [
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"concatenated_text: string"
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],
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"failure_modes": [
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"Node types 'Text', 'Concat', or 'Output' not registered in Blacknode runtime",
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"Port name mismatches during edge creation",
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"Missing input values causing empty concatenation",
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"Graph evaluation error if cycles or disconnected required ports"
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],
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"confidence": 0.95,
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"explanation": "Extracted from examples/converted_text_pipeline.py and referenced templates/text-pipeline.json in the Blacknode repo. This workflow is a foundational, dependency-free pattern for building directed graphs of typed nodes and is applicable to any simple data combination task.",
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"source_repo": "https://github.com/temiroff/Blacknode.git",
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"score": 1.0
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}
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+1
-1
@@ -1,4 +1,4 @@
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# Tests: conditional-input-routing
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# Tests: blacknode-text-concatenation-workflow
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## Test Checklist
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@@ -1,73 +0,0 @@
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---
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name: conditional-input-routing
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version: 1.0.0
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description: Collect user input, classify or branch on its content, and route to appropriate
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success or failure handling paths to produce a final result
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inputs:
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- name: request
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type: string
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description: User-provided input or request to be evaluated
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steps:
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- name: Start
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action: input agent captures initial request into state
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agent_type: input
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output_field: request
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- name: Classify
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action: branching agent evaluates request and routes to next_node or on_failure
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agent_type: branching
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input_fields: request
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output_field: decision
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next_node: Approve
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on_failure: Reject
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- name: Approve
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action: default agent processes approved request and sets result
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agent_type: default
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input_fields: request
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output_field: result
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prompt: 'Request approved: {request}'
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- name: Reject
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action: default agent processes rejected request and sets result
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agent_type: default
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input_fields: request
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output_field: result
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prompt: 'Request rejected: {request}'
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outputs:
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- name: result
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type: string
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description: Final output from either the approve or reject branch
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tags: []
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metadata:
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source_repo: https://github.com/jwwelbor/AgentMap.git
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extracted_at: ''
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confidence: 0.9
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---
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# conditional-input-routing
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Collect user input, classify or branch on its content, and route to appropriate success or failure handling paths to produce a final result
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## Steps
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1. {'name': 'Start', 'action': 'input agent captures initial request into state', 'agent_type': 'input', 'output_field': 'request'}
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2. {'name': 'Classify', 'action': 'branching agent evaluates request and routes to next_node or on_failure', 'agent_type': 'branching', 'input_fields': 'request', 'output_field': 'decision', 'next_node': 'Approve', 'on_failure': 'Reject'}
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3. {'name': 'Approve', 'action': 'default agent processes approved request and sets result', 'agent_type': 'default', 'input_fields': 'request', 'output_field': 'result', 'prompt': 'Request approved: {request}'}
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4. {'name': 'Reject', 'action': 'default agent processes rejected request and sets result', 'agent_type': 'default', 'input_fields': 'request', 'output_field': 'result', 'prompt': 'Request rejected: {request}'}
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## Inputs
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- {'name': 'request', 'type': 'string', 'description': 'User-provided input or request to be evaluated'}
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## Outputs
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- {'name': 'result', 'type': 'string', 'description': 'Final output from either the approve or reject branch'}
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## Failure Modes
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- Input node fails to capture request (handled by on_failure if defined)
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- Branching condition not met and no on_failure path defined
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- Missing input_fields in state causing agent execution error
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## Source
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Extracted from: [https://github.com/jwwelbor/AgentMap.git](https://github.com/jwwelbor/AgentMap.git)
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Confidence: 0.9
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@@ -1,6 +0,0 @@
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# Commands: conditional-input-routing
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## Available Commands
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- `/skill conditional-input-routing` — Load this skill
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- `/run conditional-input-routing` — Execute workflow
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@@ -1,10 +0,0 @@
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# Examples: conditional-input-routing
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## Usage Example
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```python
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# How to use this skill
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# Inputs: {'name': 'request', 'type': 'string', 'description': 'User-provided input or request to be evaluated'}
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# Process: {'name': 'Start', 'action': 'input agent captures initial request into state', 'agent_type': 'input', 'output_field': 'request'} → {'name': 'Classify', 'action': 'branching agent evaluates request and routes to next_node or on_failure', 'agent_type': 'branching', 'input_fields': 'request', 'output_field': 'decision', 'next_node': 'Approve', 'on_failure': 'Reject'} → {'name': 'Approve', 'action': 'default agent processes approved request and sets result', 'agent_type': 'default', 'input_fields': 'request', 'output_field': 'result', 'prompt': 'Request approved: {request}'}
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# Outputs: {'name': 'result', 'type': 'string', 'description': 'Final output from either the approve or reject branch'}
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```
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@@ -1,61 +0,0 @@
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{
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"name": "conditional-input-routing",
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"version": "1.0.0",
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"goal": "Collect user input, classify or branch on its content, and route to appropriate success or failure handling paths to produce a final result",
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"inputs": [
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{
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"name": "request",
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"type": "string",
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"description": "User-provided input or request to be evaluated"
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}
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],
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"steps": [
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{
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"name": "Start",
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"action": "input agent captures initial request into state",
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"agent_type": "input",
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"output_field": "request"
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},
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{
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"name": "Classify",
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"action": "branching agent evaluates request and routes to next_node or on_failure",
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"agent_type": "branching",
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"input_fields": "request",
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"output_field": "decision",
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"next_node": "Approve",
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"on_failure": "Reject"
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},
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{
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"name": "Approve",
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"action": "default agent processes approved request and sets result",
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"agent_type": "default",
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"input_fields": "request",
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"output_field": "result",
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"prompt": "Request approved: {request}"
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},
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{
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"name": "Reject",
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"action": "default agent processes rejected request and sets result",
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"agent_type": "default",
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"input_fields": "request",
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"output_field": "result",
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"prompt": "Request rejected: {request}"
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}
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],
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"outputs": [
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{
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"name": "result",
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"type": "string",
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"description": "Final output from either the approve or reject branch"
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}
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],
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"failure_modes": [
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"Input node fails to capture request (handled by on_failure if defined)",
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"Branching condition not met and no on_failure path defined",
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"Missing input_fields in state causing agent execution error"
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],
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"confidence": 0.9,
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"explanation": "Extracted from AgentMap's documented conditional workflow example (ReviewFlow). This CSV-declared pattern of input to branching to dual-path handling is reusable for any approval, triage, or routing scenario without writing orchestration code.",
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"source_repo": "https://github.com/jwwelbor/AgentMap.git",
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"score": 1.0
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}
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