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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 107 deletions
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---
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: text-concatenation-workflow # Tests: conditional-request-review-workflow
## Test Checklist ## Test Checklist
@@ -1,59 +0,0 @@
---
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
@@ -1,6 +0,0 @@
# Commands: text-concatenation-workflow
## Available Commands
- `/skill text-concatenation-workflow` — Load this skill
- `/run text-concatenation-workflow` — Execute workflow
@@ -1,10 +0,0 @@
# 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)
```
@@ -1,31 +0,0 @@
{
"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
}