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Hermes Pipeline 1da16b4e22 Add Skill: text-concatenation-workflow
Extracted from: https://github.com/temiroff/Blacknode.git
Score: 1.0
2026-08-08 23:06:53 +00:00
9 changed files with 107 additions and 151 deletions
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---
name: conditional-input-routing
version: 1.0.0
description: Collect user input, classify or branch on its content, and route to appropriate
success or failure handling paths to produce a final result
inputs:
- name: request
type: string
description: User-provided input or request to be evaluated
steps:
- 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}'
- name: Reject
action: default agent processes rejected request and sets result
agent_type: default
input_fields: request
output_field: result
prompt: 'Request rejected: {request}'
outputs:
- name: result
type: string
description: Final output from either the approve or reject branch
tags: []
metadata:
source_repo: https://github.com/jwwelbor/AgentMap.git
extracted_at: ''
confidence: 0.9
---
# conditional-input-routing
Collect user input, classify or branch on its content, and route to appropriate success or failure handling paths to produce a final result
## Steps
1. {'name': 'Start', 'action': 'input agent captures initial request into state', 'agent_type': 'input', 'output_field': 'request'}
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'}
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}'}
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}'}
## Inputs
- {'name': 'request', 'type': 'string', 'description': 'User-provided input or request to be evaluated'}
## Outputs
- {'name': 'result', 'type': 'string', 'description': 'Final output from either the approve or reject branch'}
## Failure Modes
- Input node fails to capture request (handled by on_failure if defined)
- Branching condition not met and no on_failure path defined
- Missing input_fields in state causing agent execution error
## Source
Extracted from: [https://github.com/jwwelbor/AgentMap.git](https://github.com/jwwelbor/AgentMap.git)
Confidence: 0.9
@@ -1,6 +0,0 @@
# Commands: conditional-input-routing
## Available Commands
- `/skill conditional-input-routing` — Load this skill
- `/run conditional-input-routing` — Execute workflow
@@ -1,10 +0,0 @@
# Examples: conditional-input-routing
## Usage Example
```python
# How to use this skill
# Inputs: {'name': 'request', 'type': 'string', 'description': 'User-provided input or request to be evaluated'}
# 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}'}
# Outputs: {'name': 'result', 'type': 'string', 'description': 'Final output from either the approve or reject branch'}
```
@@ -1,61 +0,0 @@
{
"name": "conditional-input-routing",
"version": "1.0.0",
"goal": "Collect user input, classify or branch on its content, and route to appropriate success or failure handling paths to produce a final result",
"inputs": [
{
"name": "request",
"type": "string",
"description": "User-provided input or request to be evaluated"
}
],
"steps": [
{
"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}"
},
{
"name": "Reject",
"action": "default agent processes rejected request and sets result",
"agent_type": "default",
"input_fields": "request",
"output_field": "result",
"prompt": "Request rejected: {request}"
}
],
"outputs": [
{
"name": "result",
"type": "string",
"description": "Final output from either the approve or reject branch"
}
],
"failure_modes": [
"Input node fails to capture request (handled by on_failure if defined)",
"Branching condition not met and no on_failure path defined",
"Missing input_fields in state causing agent execution error"
],
"confidence": 0.9,
"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.",
"source_repo": "https://github.com/jwwelbor/AgentMap.git",
"score": 1.0
}
@@ -0,0 +1,59 @@
---
name: text-concatenation-workflow
version: 1.0.0
description: Concatenate two text strings and produce the combined output.
inputs:
- text_a (string)
- text_b (string)
steps:
- Create a Text node with value set to input text_a.
- Create a second Text node with value set to input text_b.
- Create a Concat node with inputs a and b.
- Create an Output node.
- Connect Text node a 'value' port to Concat node 'a' port.
- Connect Text node b 'value' port to Concat node 'b' port.
- Connect Concat node 'value' port to Output node 'value' port.
- Execute/cook the graph from the Output node to obtain the result.
outputs:
- concatenated_text (string)
tags: []
metadata:
source_repo: https://github.com/temiroff/Blacknode.git
extracted_at: ''
confidence: 0.95
---
# text-concatenation-workflow
Concatenate two text strings and produce the combined output.
## Steps
1. Create a Text node with value set to input text_a.
2. Create a second Text node with value set to input text_b.
3. Create a Concat node with inputs a and b.
4. Create an Output node.
5. Connect Text node a 'value' port to Concat node 'a' port.
6. Connect Text node b 'value' port to Concat node 'b' port.
7. Connect Concat node 'value' port to Output node 'value' port.
8. Execute/cook the graph from the Output node to obtain the result.
## Inputs
- text_a (string)
- text_b (string)
## Outputs
- concatenated_text (string)
## Failure Modes
- Missing or invalid text inputs.
- Graph execution error if nodes are not properly connected.
- Concat node may not handle non-string types.
## Source
Extracted from: [https://github.com/temiroff/Blacknode.git](https://github.com/temiroff/Blacknode.git)
Confidence: 0.95
@@ -0,0 +1,6 @@
# Commands: text-concatenation-workflow
## Available Commands
- `/skill text-concatenation-workflow` — Load this skill
- `/run text-concatenation-workflow` — Execute workflow
@@ -0,0 +1,10 @@
# Examples: text-concatenation-workflow
## Usage Example
```python
# How to use this skill
# Inputs: text_a (string), text_b (string)
# Process: Create a Text node with value set to input text_a. → Create a second Text node with value set to input text_b. → Create a Concat node with inputs a and b.
# Outputs: concatenated_text (string)
```
@@ -0,0 +1,31 @@
{
"name": "text-concatenation-workflow",
"version": "1.0.0",
"goal": "Concatenate two text strings and produce the combined output.",
"inputs": [
"text_a (string)",
"text_b (string)"
],
"steps": [
"Create a Text node with value set to input text_a.",
"Create a second Text node with value set to input text_b.",
"Create a Concat node with inputs a and b.",
"Create an Output node.",
"Connect Text node a 'value' port to Concat node 'a' port.",
"Connect Text node b 'value' port to Concat node 'b' port.",
"Connect Concat node 'value' port to Output node 'value' port.",
"Execute/cook the graph from the Output node to obtain the result."
],
"outputs": [
"concatenated_text (string)"
],
"failure_modes": [
"Missing or invalid text inputs.",
"Graph execution error if nodes are not properly connected.",
"Concat node may not handle non-string types."
],
"confidence": 0.95,
"explanation": "Extracted from examples/converted_text_pipeline.py which demonstrates a simple Blacknode graph workflow: two Text nodes feed a Concat node that outputs via an Output node. This pattern is reusable for any text combination task.",
"source_repo": "https://github.com/temiroff/Blacknode.git",
"score": 1.0
}
@@ -1,4 +1,4 @@
# Tests: conditional-input-routing
# Tests: text-concatenation-workflow
## Test Checklist