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Author SHA1 Message Date
Hermes Pipeline d843836fae Add Skill: text-concatenation-pipeline
Extracted from: https://github.com/temiroff/Blacknode.git
Score: 1.0
2026-08-08 22:42:46 +00:00
9 changed files with 108 additions and 94 deletions
@@ -1,52 +0,0 @@
---
name: conditional-request-review
version: 1.0.0
description: Capture a user request, classify it via branching, and produce an approval
or rejection result.
inputs:
- request
steps:
- 'Start: input agent prompts user for request and stores it in state field ''request'''
- 'Classify: branching agent evaluates ''request'' and routes to Approve on success
or Reject on failure, storing ''decision'''
- 'Approve: default agent formats approval message using ''request'' and stores it
in ''result'''
- 'Reject: default agent formats rejection message using ''request'' and stores it
in ''result'''
outputs:
- result (string message indicating approval or rejection)
tags: []
metadata:
source_repo: https://github.com/jwwelbor/AgentMap.git
extracted_at: ''
confidence: 0.85
---
# conditional-request-review
Capture a user request, classify it via branching, and produce an approval or rejection result.
## Steps
1. Start: input agent prompts user for request and stores it in state field 'request'
2. Classify: branching agent evaluates 'request' and routes to Approve on success or Reject on failure, storing 'decision'
3. Approve: default agent formats approval message using 'request' and stores it in 'result'
4. Reject: default agent formats rejection message using 'request' and stores it in 'result'
## Inputs
- request
## Outputs
- result (string message indicating approval or rejection)
## Failure Modes
- If branching classification fails, workflow routes to Reject (on_failure)
- If input not provided, workflow may hang or error depending on runtime
## Source
Extracted from: [https://github.com/jwwelbor/AgentMap.git](https://github.com/jwwelbor/AgentMap.git)
Confidence: 0.85
@@ -1,6 +0,0 @@
# Commands: conditional-request-review
## Available Commands
- `/skill conditional-request-review` — Load this skill
- `/run conditional-request-review` — Execute workflow
@@ -1,10 +0,0 @@
# Examples: conditional-request-review
## Usage Example
```python
# How to use this skill
# Inputs: request
# Process: Start: input agent prompts user for request and stores it in state field 'request' → Classify: branching agent evaluates 'request' and routes to Approve on success or Reject on failure, storing 'decision' → Approve: default agent formats approval message using 'request' and stores it in 'result'
# Outputs: result (string message indicating approval or rejection)
```
@@ -1,25 +0,0 @@
{
"name": "conditional-request-review",
"version": "1.0.0",
"goal": "Capture a user request, classify it via branching, and produce an approval or rejection result.",
"inputs": [
"request"
],
"steps": [
"Start: input agent prompts user for request and stores it in state field 'request'",
"Classify: branching agent evaluates 'request' and routes to Approve on success or Reject on failure, storing 'decision'",
"Approve: default agent formats approval message using 'request' and stores it in 'result'",
"Reject: default agent formats rejection message using 'request' and stores it in 'result'"
],
"outputs": [
"result (string message indicating approval or rejection)"
],
"failure_modes": [
"If branching classification fails, workflow routes to Reject (on_failure)",
"If input not provided, workflow may hang or error depending on runtime"
],
"confidence": 0.85,
"explanation": "Workflow extracted from AgentMap README example 'ReviewFlow' CSV. It is a generic conditional routing pattern usable for any binary decision process.",
"source_repo": "https://github.com/jwwelbor/AgentMap.git",
"score": 1.0
}
@@ -0,0 +1,60 @@
---
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
@@ -0,0 +1,6 @@
# Commands: text-concatenation-pipeline
## Available Commands
- `/skill text-concatenation-pipeline` — Load this skill
- `/run text-concatenation-pipeline` — Execute workflow
@@ -0,0 +1,10 @@
# 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)
```
@@ -0,0 +1,31 @@
{
"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
}
@@ -1,4 +1,4 @@
# Tests: conditional-request-review
# Tests: text-concatenation-pipeline
## Test Checklist