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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 95 deletions
@@ -1,53 +0,0 @@
---
name: conditional-request-review-workflow
version: 1.0.0
description: Classify an input request and route it to an approval or rejection path,
producing a final result message.
inputs:
- request
steps:
- Start node (agent_type=input) collects the user request and stores it in state field
'request'.
- Classify node (agent_type=branching) reads 'request', makes a branching decision,
and on success goes to Approve, on failure goes to Reject; stores decision in 'decision'.
- Approve node (agent_type=default) formats an approval message using 'request' and
writes to 'result'.
- Reject node (agent_type=default) formats a rejection message using 'request' and
writes to 'result' (also used if Classify fails).
outputs:
- result
tags: []
metadata:
source_repo: https://github.com/jwwelbor/AgentMap.git
extracted_at: ''
confidence: 0.85
---
# conditional-request-review-workflow
Classify an input request and route it to an approval or rejection path, producing a final result message.
## Steps
1. Start node (agent_type=input) collects the user request and stores it in state field 'request'.
2. Classify node (agent_type=branching) reads 'request', makes a branching decision, and on success goes to Approve, on failure goes to Reject; stores decision in 'decision'.
3. Approve node (agent_type=default) formats an approval message using 'request' and writes to 'result'.
4. Reject node (agent_type=default) formats a rejection message using 'request' and writes to 'result' (also used if Classify fails).
## Inputs
- request
## Outputs
- result
## Failure Modes
- If branching classification fails, workflow defaults to Reject node via on_failure.
- Input node has no defined on_failure, so workflow may terminate unexpectedly if input collection fails.
## 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-workflow
## Available Commands
- `/skill conditional-request-review-workflow` — Load this skill
- `/run conditional-request-review-workflow` — Execute workflow
@@ -1,10 +0,0 @@
# Examples: conditional-request-review-workflow
## Usage Example
```python
# How to use this skill
# Inputs: request
# Process: Start node (agent_type=input) collects the user request and stores it in state field 'request'. → Classify node (agent_type=branching) reads 'request', makes a branching decision, and on success goes to Approve, on failure goes to Reject; stores decision in 'decision'. → Approve node (agent_type=default) formats an approval message using 'request' and writes to 'result'.
# Outputs: result
```
@@ -1,25 +0,0 @@
{
"name": "conditional-request-review-workflow",
"version": "1.0.0",
"goal": "Classify an input request and route it to an approval or rejection path, producing a final result message.",
"inputs": [
"request"
],
"steps": [
"Start node (agent_type=input) collects the user request and stores it in state field 'request'.",
"Classify node (agent_type=branching) reads 'request', makes a branching decision, and on success goes to Approve, on failure goes to Reject; stores decision in 'decision'.",
"Approve node (agent_type=default) formats an approval message using 'request' and writes to 'result'.",
"Reject node (agent_type=default) formats a rejection message using 'request' and writes to 'result' (also used if Classify fails)."
],
"outputs": [
"result"
],
"failure_modes": [
"If branching classification fails, workflow defaults to Reject node via on_failure.",
"Input node has no defined on_failure, so workflow may terminate unexpectedly if input collection fails."
],
"confidence": 0.85,
"explanation": "This workflow is directly taken from the AgentMap README 'ReviewFlow' CSV example. It represents a reusable declarative pattern for conditional routing based on input content, adaptable to many binary decision tasks.",
"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-workflow
# Tests: text-concatenation-pipeline
## Test Checklist