Compare commits

..

1 Commits

Author SHA1 Message Date
Hermes Pipeline 7b14d4dd89 Add Skill: conditional-request-review-workflow
Extracted from: https://github.com/jwwelbor/AgentMap.git
Score: 1.0
2026-08-08 22:41:13 +00:00
9 changed files with 95 additions and 117 deletions
@@ -1,67 +0,0 @@
---
name: blacknode-text-concatenation-workflow
version: 1.0.0
description: Concatenate two text strings using a Blacknode graph of Text, Concat,
and Output nodes.
inputs:
- 'text_a: string'
- 'text_b: string'
steps:
- Initialize a Blacknode Graph object.
- Add a Text node with parameter value set to text_a.
- Add a second Text node with parameter value set to text_b.
- Add a Concat node (no parameters required).
- Add an Output node (no parameters required).
- Connect the 'value' output port of the first Text node to the 'a' input port of
the Concat node.
- Connect the 'value' output port of the second Text node to the 'b' input port of
the Concat node.
- Connect the 'value' output port of the Concat node to the 'value' input port of
the Output node.
- Evaluate the graph by cooking the Output node's 'value' port to obtain the concatenated
result.
outputs:
- 'concatenated_text: string'
tags: []
metadata:
source_repo: https://github.com/temiroff/Blacknode.git
extracted_at: ''
confidence: 0.95
---
# blacknode-text-concatenation-workflow
Concatenate two text strings using a Blacknode graph of Text, Concat, and Output nodes.
## Steps
1. Initialize a Blacknode Graph object.
2. Add a Text node with parameter value set to text_a.
3. Add a second Text node with parameter value set to text_b.
4. Add a Concat node (no parameters required).
5. Add an Output node (no parameters required).
6. Connect the 'value' output port of the first Text node to the 'a' input port of the Concat node.
7. Connect the 'value' output port of the second Text node to the 'b' input port of the Concat node.
8. Connect the 'value' output port of the Concat node to the 'value' input port of the Output node.
9. Evaluate the graph by cooking the Output node's 'value' port to obtain the concatenated result.
## Inputs
- text_a: string
- text_b: string
## Outputs
- concatenated_text: string
## Failure Modes
- Node types 'Text', 'Concat', or 'Output' not registered in Blacknode runtime
- Port name mismatches during edge creation
- Missing input values causing empty concatenation
- Graph evaluation error if cycles or disconnected required ports
## Source
Extracted from: [https://github.com/temiroff/Blacknode.git](https://github.com/temiroff/Blacknode.git)
Confidence: 0.95
@@ -1,6 +0,0 @@
# Commands: blacknode-text-concatenation-workflow
## Available Commands
- `/skill blacknode-text-concatenation-workflow` — Load this skill
- `/run blacknode-text-concatenation-workflow` — Execute workflow
@@ -1,10 +0,0 @@
# Examples: blacknode-text-concatenation-workflow
## Usage Example
```python
# How to use this skill
# Inputs: text_a: string, text_b: string
# Process: Initialize a Blacknode Graph object. → Add a Text node with parameter value set to text_a. → Add a second Text node with parameter value set to text_b.
# Outputs: concatenated_text: string
```
@@ -1,33 +0,0 @@
{
"name": "blacknode-text-concatenation-workflow",
"version": "1.0.0",
"goal": "Concatenate two text strings using a Blacknode graph of Text, Concat, and Output nodes.",
"inputs": [
"text_a: string",
"text_b: string"
],
"steps": [
"Initialize a Blacknode Graph object.",
"Add a Text node with parameter value set to text_a.",
"Add a second Text node with parameter value set to text_b.",
"Add a Concat node (no parameters required).",
"Add an Output node (no parameters required).",
"Connect the 'value' output port of the first Text node to the 'a' input port of the Concat node.",
"Connect the 'value' output port of the second Text node to the 'b' input port of the Concat node.",
"Connect the 'value' output port of the Concat node to the 'value' input port of the Output node.",
"Evaluate the graph by cooking the Output node's 'value' port to obtain the concatenated result."
],
"outputs": [
"concatenated_text: string"
],
"failure_modes": [
"Node types 'Text', 'Concat', or 'Output' not registered in Blacknode runtime",
"Port name mismatches during edge creation",
"Missing input values causing empty concatenation",
"Graph evaluation error if cycles or disconnected required ports"
],
"confidence": 0.95,
"explanation": "Extracted from examples/converted_text_pipeline.py and referenced templates/text-pipeline.json in the Blacknode repo. This workflow is a foundational, dependency-free pattern for building directed graphs of typed nodes and is applicable to any simple data combination task.",
"source_repo": "https://github.com/temiroff/Blacknode.git",
"score": 1.0
}
@@ -0,0 +1,53 @@
---
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
@@ -0,0 +1,6 @@
# Commands: conditional-request-review-workflow
## Available Commands
- `/skill conditional-request-review-workflow` — Load this skill
- `/run conditional-request-review-workflow` — Execute workflow
@@ -0,0 +1,10 @@
# 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
```
@@ -0,0 +1,25 @@
{
"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
}
@@ -1,4 +1,4 @@
# Tests: blacknode-text-concatenation-workflow
# Tests: conditional-request-review-workflow
## Test Checklist