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 Hermes Pipeline
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---
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name: conditional-request-routing-workflow
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version: 1.0.0
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description: Collect a request, classify it via branching logic, and route to an approval
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or rejection handler 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: The input text or request to be evaluated and routed
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steps:
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- node: Start
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agent_type: input
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description: Prompt user and capture the request into state field 'request'
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next: Classify
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- node: Classify
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agent_type: branching
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description: Evaluate the request and set 'decision' field, routing to Approve on
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success or Reject on failure
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input_fields:
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- 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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- node: Approve
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agent_type: default
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description: Format and output an approval message containing the request
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input_fields:
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- request
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output_field: result
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prompt: 'Request approved: {request}'
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- node: Reject
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agent_type: default
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description: Format and output a rejection message containing the request
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input_fields:
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- 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 formatted message indicating the outcome (approved or rejected)
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- name: decision
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type: string
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description: Routing decision produced by the branching node
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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: 0.92
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---
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# conditional-request-routing-workflow
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Collect a request, classify it via branching logic, and route to an approval or rejection handler to produce a final result
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## Steps
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1. {'node': 'Start', 'agent_type': 'input', 'description': "Prompt user and capture the request into state field 'request'", 'next': 'Classify'}
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2. {'node': 'Classify', 'agent_type': 'branching', 'description': "Evaluate the request and set 'decision' field, routing to Approve on success or Reject on failure", 'input_fields': ['request'], 'output_field': 'decision', 'next_node': 'Approve', 'on_failure': 'Reject'}
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3. {'node': 'Approve', 'agent_type': 'default', 'description': 'Format and output an approval message containing the request', 'input_fields': ['request'], 'output_field': 'result', 'prompt': 'Request approved: {request}'}
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4. {'node': 'Reject', 'agent_type': 'default', 'description': 'Format and output a rejection message containing the request', 'input_fields': ['request'], 'output_field': 'result', 'prompt': 'Request rejected: {request}'}
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## Inputs
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- {'name': 'request', 'type': 'string', 'description': 'The input text or request to be evaluated and routed'}
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## Outputs
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- {'name': 'result', 'type': 'string', 'description': 'Final formatted message indicating the outcome (approved or rejected)'}
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- {'name': 'decision', 'type': 'string', 'description': 'Routing decision produced by the branching node'}
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## Failure Modes
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- Empty or missing request input prevents meaningful classification
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- Branching node fails to resolve a valid route and defaults to rejection path
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- Prompt template variable missing causes malformed output
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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: 0.92
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# Commands: conditional-request-routing-workflow
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## Available Commands
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- `/skill conditional-request-routing-workflow` — Load this skill
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- `/run conditional-request-routing-workflow` — Execute workflow
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# Examples: conditional-request-routing-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: {'name': 'request', 'type': 'string', 'description': 'The input text or request to be evaluated and routed'}
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# Process: {'node': 'Start', 'agent_type': 'input', 'description': "Prompt user and capture the request into state field 'request'", 'next': 'Classify'} → {'node': 'Classify', 'agent_type': 'branching', 'description': "Evaluate the request and set 'decision' field, routing to Approve on success or Reject on failure", 'input_fields': ['request'], 'output_field': 'decision', 'next_node': 'Approve', 'on_failure': 'Reject'} → {'node': 'Approve', 'agent_type': 'default', 'description': 'Format and output an approval message containing the request', 'input_fields': ['request'], 'output_field': 'result', 'prompt': 'Request approved: {request}'}
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# Outputs: {'name': 'result', 'type': 'string', 'description': 'Final formatted message indicating the outcome (approved or rejected)'}, {'name': 'decision', 'type': 'string', 'description': 'Routing decision produced by the branching node'}
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```
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@@ -0,0 +1,72 @@
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{
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"name": "conditional-request-routing-workflow",
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"version": "1.0.0",
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"goal": "Collect a request, classify it via branching logic, and route to an approval or rejection handler 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": "The input text or request to be evaluated and routed"
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}
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],
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"steps": [
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{
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"node": "Start",
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"agent_type": "input",
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"description": "Prompt user and capture the request into state field 'request'",
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"next": "Classify"
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},
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{
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"node": "Classify",
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"agent_type": "branching",
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"description": "Evaluate the request and set 'decision' field, routing to Approve on success or Reject on failure",
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"input_fields": [
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"request"
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],
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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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"node": "Approve",
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"agent_type": "default",
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"description": "Format and output an approval message containing the request",
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"input_fields": [
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"request"
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],
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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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"node": "Reject",
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"agent_type": "default",
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"description": "Format and output a rejection message containing the request",
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"input_fields": [
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"request"
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],
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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 formatted message indicating the outcome (approved or rejected)"
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},
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{
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"name": "decision",
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"type": "string",
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"description": "Routing decision produced by the branching node"
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}
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],
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"failure_modes": [
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"Empty or missing request input prevents meaningful classification",
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"Branching node fails to resolve a valid route and defaults to rejection path",
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"Prompt template variable missing causes malformed output"
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],
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"confidence": 0.92,
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"explanation": "Extracted from the ReviewFlow CSV example in the AgentMap README. This is a declarative, CSV-defined LangGraph workflow demonstrating the reusable pattern of input -> branching classification -> conditional handling paths. It can be generalized for ticket triage, content moderation, or any route-by-condition use case.",
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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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+1
-1
@@ -1,4 +1,4 @@
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# Tests: text-concatenation-pipeline
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# Tests: conditional-request-routing-workflow
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## Test Checklist
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@@ -1,60 +0,0 @@
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---
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name: text-concatenation-pipeline
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version: 1.0.0
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description: Combine two text inputs into a single output string using a Blacknode
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node graph.
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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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- Instantiate a Text node with parameter value set to text_a
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- Instantiate a Text node with parameter value set to text_b
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- Instantiate a Concat node with no parameters
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- Instantiate an Output node
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- Connect output port 'value' of first Text node to input port 'a' of Concat node
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- Connect output port 'value' of second Text node to input port 'b' of Concat node
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- Connect output port 'value' of Concat node to input port 'value' of Output node
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- Execute graph by cooking the Output node's 'value' port to obtain 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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# text-concatenation-pipeline
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Combine two text inputs into a single output string using a Blacknode node graph.
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## Steps
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1. Instantiate a Text node with parameter value set to text_a
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2. Instantiate a Text node with parameter value set to text_b
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3. Instantiate a Concat node with no parameters
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4. Instantiate an Output node
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5. Connect output port 'value' of first Text node to input port 'a' of Concat node
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6. Connect output port 'value' of second Text node to input port 'b' of Concat node
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7. Connect output port 'value' of Concat node to input port 'value' of Output node
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8. Execute graph by cooking the Output node's 'value' port to obtain 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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- One or both text inputs missing or non-string
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- Invalid node connections (port mismatch)
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- Runtime error during graph execution
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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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@@ -1,6 +0,0 @@
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# Commands: text-concatenation-pipeline
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## Available Commands
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- `/skill text-concatenation-pipeline` — Load this skill
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- `/run text-concatenation-pipeline` — Execute workflow
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@@ -1,10 +0,0 @@
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# Examples: text-concatenation-pipeline
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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: Instantiate a Text node with parameter value set to text_a → Instantiate a Text node with parameter value set to text_b → Instantiate a Concat node with no parameters
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# Outputs: concatenated_text (string)
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```
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@@ -1,31 +0,0 @@
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{
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"name": "text-concatenation-pipeline",
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"version": "1.0.0",
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"goal": "Combine two text inputs into a single output string using a Blacknode node graph.",
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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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"Instantiate a Text node with parameter value set to text_a",
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"Instantiate a Text node with parameter value set to text_b",
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"Instantiate a Concat node with no parameters",
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"Instantiate an Output node",
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"Connect output port 'value' of first Text node to input port 'a' of Concat node",
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"Connect output port 'value' of second Text node to input port 'b' of Concat node",
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"Connect output port 'value' of Concat node to input port 'value' of Output node",
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"Execute graph by cooking the Output node's 'value' port to obtain 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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"One or both text inputs missing or non-string",
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"Invalid node connections (port mismatch)",
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"Runtime error during graph execution"
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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 repository. The workflow is a basic reusable pattern for string concatenation using the visual node editor's graph model.",
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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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