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Hermes Pipeline 536add1ef9 Add Skill: text-concatenation
Extracted from: https://github.com/temiroff/Blacknode.git
Score: 1.0
2026-08-08 22:56:53 +00:00
9 changed files with 110 additions and 97 deletions
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---
name: conditional-request-routing
version: 1.0.0
description: Classify an input request and route it to either an approval or rejection
path, producing a corresponding result
inputs:
- 'request: the input request or content to be reviewed and routed'
steps:
- 'Collect input: Use an input agent to capture the user''s request into state field
''request'''
- 'Branch: Use a branching agent to evaluate ''request'' and route to ''Approve''
node on success or ''Reject'' node on failure'
- 'Approve path: Use a default agent to format and output an approval message with
the request'
- 'Reject path: Use a default agent to format and output a rejection message with
the request'
outputs:
- 'result: the approval or rejection message containing the original request'
tags: []
metadata:
source_repo: https://github.com/jwwelbor/AgentMap.git
extracted_at: ''
confidence: 0.85
---
# conditional-request-routing
Classify an input request and route it to either an approval or rejection path, producing a corresponding result
## Steps
1. Collect input: Use an input agent to capture the user's request into state field 'request'
2. Branch: Use a branching agent to evaluate 'request' and route to 'Approve' node on success or 'Reject' node on failure
3. Approve path: Use a default agent to format and output an approval message with the request
4. Reject path: Use a default agent to format and output a rejection message with the request
## Inputs
- request: the input request or content to be reviewed and routed
## Outputs
- result: the approval or rejection message containing the original request
## Failure Modes
- Branching agent cannot evaluate request and neither path is taken
- Missing or empty input request
- Prompt misconfiguration causing incorrect routing
## 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-routing
## Available Commands
- `/skill conditional-request-routing` — Load this skill
- `/run conditional-request-routing` — Execute workflow
@@ -1,10 +0,0 @@
# Examples: conditional-request-routing
## Usage Example
```python
# How to use this skill
# Inputs: request: the input request or content to be reviewed and routed
# Process: Collect input: Use an input agent to capture the user's request into state field 'request' → Branch: Use a branching agent to evaluate 'request' and route to 'Approve' node on success or 'Reject' node on failure → Approve path: Use a default agent to format and output an approval message with the request
# Outputs: result: the approval or rejection message containing the original request
```
@@ -1,26 +0,0 @@
{
"name": "conditional-request-routing",
"version": "1.0.0",
"goal": "Classify an input request and route it to either an approval or rejection path, producing a corresponding result",
"inputs": [
"request: the input request or content to be reviewed and routed"
],
"steps": [
"Collect input: Use an input agent to capture the user's request into state field 'request'",
"Branch: Use a branching agent to evaluate 'request' and route to 'Approve' node on success or 'Reject' node on failure",
"Approve path: Use a default agent to format and output an approval message with the request",
"Reject path: Use a default agent to format and output a rejection message with the request"
],
"outputs": [
"result: the approval or rejection message containing the original request"
],
"failure_modes": [
"Branching agent cannot evaluate request and neither path is taken",
"Missing or empty input request",
"Prompt misconfiguration causing incorrect routing"
],
"confidence": 0.85,
"explanation": "Extracted from AgentMap's README example 'ReviewFlow' CSV workflow. This is a declarative LangGraph pattern using AgentMap's CSV format that implements conditional branching - a universally reusable pattern for request triage, content moderation, approval gates, or any two-path decision flow. It can be adapted by changing agent types (e.g., using LLM agents instead of default) and prompts.",
"source_repo": "https://github.com/jwwelbor/AgentMap.git",
"score": 1.0
}
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---
name: text-concatenation
version: 1.0.0
description: Concatenate two text inputs using Blacknode node graph
inputs:
- text_a
- text_b
steps:
- Create a Blacknode Graph instance
- Add a Text node with param value set to text_a
- Add a second Text node with param value set to text_b
- Add a Concat node that accepts inputs 'a' and 'b' and outputs 'value'
- Add an Output node with input port 'value'
- Connect first Text node 'value' port to Concat 'a' port
- Connect second Text node 'value' port to Concat 'b' port
- Connect Concat 'value' port to Output 'value' port
- Invoke graph cook on Output 'value' to evaluate and return result
outputs:
- concatenated_text
tags: []
metadata:
source_repo: https://github.com/temiroff/Blacknode.git
extracted_at: ''
confidence: 0.9
---
# text-concatenation
Concatenate two text inputs using Blacknode node graph
## Steps
1. Create a Blacknode Graph instance
2. Add a Text node with param value set to text_a
3. Add a second Text node with param value set to text_b
4. Add a Concat node that accepts inputs 'a' and 'b' and outputs 'value'
5. Add an Output node with input port 'value'
6. Connect first Text node 'value' port to Concat 'a' port
7. Connect second Text node 'value' port to Concat 'b' port
8. Connect Concat 'value' port to Output 'value' port
9. Invoke graph cook on Output 'value' to evaluate and return result
## Inputs
- text_a
- text_b
## Outputs
- concatenated_text
## Failure Modes
- Port name mismatch causes connection error
- Missing runtime or graph not initialized
- Cook on nonexistent node returns error
## Source
Extracted from: [https://github.com/temiroff/Blacknode.git](https://github.com/temiroff/Blacknode.git)
Confidence: 0.9
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# Commands: text-concatenation
## Available Commands
- `/skill text-concatenation` — Load this skill
- `/run text-concatenation` — Execute workflow
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# Examples: text-concatenation
## Usage Example
```python
# How to use this skill
# Inputs: text_a, text_b
# Process: Create a Blacknode Graph instance → Add a Text node with param value set to text_a → Add a second Text node with param value set to text_b
# Outputs: concatenated_text
```
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{
"name": "text-concatenation",
"version": "1.0.0",
"goal": "Concatenate two text inputs using Blacknode node graph",
"inputs": [
"text_a",
"text_b"
],
"steps": [
"Create a Blacknode Graph instance",
"Add a Text node with param value set to text_a",
"Add a second Text node with param value set to text_b",
"Add a Concat node that accepts inputs 'a' and 'b' and outputs 'value'",
"Add an Output node with input port 'value'",
"Connect first Text node 'value' port to Concat 'a' port",
"Connect second Text node 'value' port to Concat 'b' port",
"Connect Concat 'value' port to Output 'value' port",
"Invoke graph cook on Output 'value' to evaluate and return result"
],
"outputs": [
"concatenated_text"
],
"failure_modes": [
"Port name mismatch causes connection error",
"Missing runtime or graph not initialized",
"Cook on nonexistent node returns error"
],
"confidence": 0.9,
"explanation": "The repo contains example converted workflows; converted_text_pipeline.py demonstrates a simple reusable pattern of two source nodes feeding a concatenation node into an output, applicable to any string joining task in Blacknode.",
"source_repo": "https://github.com/temiroff/Blacknode.git",
"score": 1.0
}
@@ -1,4 +1,4 @@
# Tests: conditional-request-routing # Tests: text-concatenation
## Test Checklist ## Test Checklist