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Author SHA1 Message Date
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 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 +1,59 @@
---
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-request-review # Tests: text-concatenation-workflow
## Test Checklist ## Test Checklist