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Hermes Pipeline a2433251cd Add Skill: conditional-request-routing-workflow
Extracted from: https://github.com/jwwelbor/AgentMap.git
Score: 1.0
2026-08-08 22:55:19 +00:00
9 changed files with 170 additions and 108 deletions
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---
name: conditional-request-routing-workflow
version: 1.0.0
description: Collect a request, classify it via branching logic, and route to an approval
or rejection handler to produce a final result
inputs:
- name: request
type: string
description: The input text or request to be evaluated and routed
steps:
- 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}'
- 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}'
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
tags: []
metadata:
source_repo: https://github.com/jwwelbor/AgentMap.git
extracted_at: ''
confidence: 0.92
---
# conditional-request-routing-workflow
Collect a request, classify it via branching logic, and route to an approval or rejection handler to produce a final result
## Steps
1. {'node': 'Start', 'agent_type': 'input', 'description': "Prompt user and capture the request into state field 'request'", 'next': 'Classify'}
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'}
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}'}
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}'}
## Inputs
- {'name': 'request', 'type': 'string', 'description': 'The input text or request to be evaluated and routed'}
## 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'}
## Failure Modes
- Empty or missing request input prevents meaningful classification
- Branching node fails to resolve a valid route and defaults to rejection path
- Prompt template variable missing causes malformed output
## Source
Extracted from: [https://github.com/jwwelbor/AgentMap.git](https://github.com/jwwelbor/AgentMap.git)
Confidence: 0.92
@@ -0,0 +1,6 @@
# Commands: conditional-request-routing-workflow
## Available Commands
- `/skill conditional-request-routing-workflow` — Load this skill
- `/run conditional-request-routing-workflow` — Execute workflow
@@ -0,0 +1,10 @@
# Examples: conditional-request-routing-workflow
## Usage Example
```python
# How to use this skill
# Inputs: {'name': 'request', 'type': 'string', 'description': 'The input text or request to be evaluated and routed'}
# 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}'}
# 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'}
```
@@ -0,0 +1,72 @@
{
"name": "conditional-request-routing-workflow",
"version": "1.0.0",
"goal": "Collect a request, classify it via branching logic, and route to an approval or rejection handler to produce a final result",
"inputs": [
{
"name": "request",
"type": "string",
"description": "The input text or request to be evaluated and routed"
}
],
"steps": [
{
"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}"
},
{
"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}"
}
],
"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"
}
],
"failure_modes": [
"Empty or missing request input prevents meaningful classification",
"Branching node fails to resolve a valid route and defaults to rejection path",
"Prompt template variable missing causes malformed output"
],
"confidence": 0.92,
"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.",
"source_repo": "https://github.com/jwwelbor/AgentMap.git",
"score": 1.0
}
@@ -1,4 +1,4 @@
# Tests: text-concatenation-pipeline # Tests: conditional-request-routing-workflow
## Test Checklist ## Test Checklist
@@ -1,60 +0,0 @@
---
name: text-concatenation-pipeline
version: 1.0.0
description: Combine two text inputs into a single output string using a Blacknode
node graph.
inputs:
- text_a (string)
- text_b (string)
steps:
- 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
- Instantiate an Output node
- Connect output port 'value' of first Text node to input port 'a' of Concat node
- Connect output port 'value' of second Text node to input port 'b' of Concat node
- Connect output port 'value' of Concat node to input port 'value' of Output node
- Execute graph by cooking the Output node's 'value' port to obtain result
outputs:
- concatenated_text (string)
tags: []
metadata:
source_repo: https://github.com/temiroff/Blacknode.git
extracted_at: ''
confidence: 0.95
---
# text-concatenation-pipeline
Combine two text inputs into a single output string using a Blacknode node graph.
## Steps
1. Instantiate a Text node with parameter value set to text_a
2. Instantiate a Text node with parameter value set to text_b
3. Instantiate a Concat node with no parameters
4. Instantiate an Output node
5. Connect output port 'value' of first Text node to input port 'a' of Concat node
6. Connect output port 'value' of second Text node to input port 'b' of Concat node
7. Connect output port 'value' of Concat node to input port 'value' of Output node
8. Execute graph by cooking the Output node's 'value' port to obtain result
## Inputs
- text_a (string)
- text_b (string)
## Outputs
- concatenated_text (string)
## Failure Modes
- One or both text inputs missing or non-string
- Invalid node connections (port mismatch)
- Runtime error during graph execution
## Source
Extracted from: [https://github.com/temiroff/Blacknode.git](https://github.com/temiroff/Blacknode.git)
Confidence: 0.95
@@ -1,6 +0,0 @@
# Commands: text-concatenation-pipeline
## Available Commands
- `/skill text-concatenation-pipeline` — Load this skill
- `/run text-concatenation-pipeline` — Execute workflow
@@ -1,10 +0,0 @@
# Examples: text-concatenation-pipeline
## Usage Example
```python
# How to use this skill
# Inputs: text_a (string), text_b (string)
# 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
# Outputs: concatenated_text (string)
```
@@ -1,31 +0,0 @@
{
"name": "text-concatenation-pipeline",
"version": "1.0.0",
"goal": "Combine two text inputs into a single output string using a Blacknode node graph.",
"inputs": [
"text_a (string)",
"text_b (string)"
],
"steps": [
"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",
"Instantiate an Output node",
"Connect output port 'value' of first Text node to input port 'a' of Concat node",
"Connect output port 'value' of second Text node to input port 'b' of Concat node",
"Connect output port 'value' of Concat node to input port 'value' of Output node",
"Execute graph by cooking the Output node's 'value' port to obtain result"
],
"outputs": [
"concatenated_text (string)"
],
"failure_modes": [
"One or both text inputs missing or non-string",
"Invalid node connections (port mismatch)",
"Runtime error during graph execution"
],
"confidence": 0.95,
"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.",
"source_repo": "https://github.com/temiroff/Blacknode.git",
"score": 1.0
}