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---
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name: conditional-request-review
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version: 1.0.0
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description: Capture a user request, classify it via branching, and produce an approval
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or rejection result.
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inputs:
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- request
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steps:
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- 'Start: input agent prompts user for request and stores it in state field ''request'''
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- 'Classify: branching agent evaluates ''request'' and routes to Approve on success
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or Reject on failure, storing ''decision'''
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- 'Approve: default agent formats approval message using ''request'' and stores it
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in ''result'''
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- 'Reject: default agent formats rejection message using ''request'' and stores it
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in ''result'''
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outputs:
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- result (string message indicating approval or rejection)
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tags: []
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metadata:
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source_repo: https://github.com/jwwelbor/AgentMap.git
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extracted_at: ''
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confidence: 0.85
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---
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# conditional-request-review
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Capture a user request, classify it via branching, and produce an approval or rejection result.
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## Steps
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1. Start: input agent prompts user for request and stores it in state field 'request'
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2. Classify: branching agent evaluates 'request' and routes to Approve on success or Reject on failure, storing 'decision'
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3. Approve: default agent formats approval message using 'request' and stores it in 'result'
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4. Reject: default agent formats rejection message using 'request' and stores it in 'result'
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## Inputs
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- request
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## Outputs
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- result (string message indicating approval or rejection)
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## Failure Modes
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- If branching classification fails, workflow routes to Reject (on_failure)
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- If input not provided, workflow may hang or error depending on runtime
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## Source
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Extracted from: [https://github.com/jwwelbor/AgentMap.git](https://github.com/jwwelbor/AgentMap.git)
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Confidence: 0.85
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# Commands: conditional-request-review
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## Available Commands
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- `/skill conditional-request-review` — Load this skill
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- `/run conditional-request-review` — Execute workflow
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# Examples: conditional-request-review
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## Usage Example
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```python
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# How to use this skill
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# Inputs: request
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# 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'
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# Outputs: result (string message indicating approval or rejection)
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```
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{
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"name": "conditional-request-review",
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"version": "1.0.0",
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"goal": "Capture a user request, classify it via branching, and produce an approval or rejection result.",
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"inputs": [
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"request"
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],
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"steps": [
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"Start: input agent prompts user for request and stores it in state field 'request'",
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"Classify: branching agent evaluates 'request' and routes to Approve on success or Reject on failure, storing 'decision'",
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"Approve: default agent formats approval message using 'request' and stores it in 'result'",
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"Reject: default agent formats rejection message using 'request' and stores it in 'result'"
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],
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"outputs": [
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"result (string message indicating approval or rejection)"
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],
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"failure_modes": [
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"If branching classification fails, workflow routes to Reject (on_failure)",
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"If input not provided, workflow may hang or error depending on runtime"
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],
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"confidence": 0.85,
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"explanation": "Workflow extracted from AgentMap README example 'ReviewFlow' CSV. It is a generic conditional routing pattern usable for any binary decision process.",
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"source_repo": "https://github.com/jwwelbor/AgentMap.git",
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"score": 1.0
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}
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# Tests: text-concatenation
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# Tests: conditional-request-review
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## Test Checklist
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## Test Checklist
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---
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name: text-concatenation
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version: 1.0.0
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description: Concatenate two text inputs using Blacknode node graph
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inputs:
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- text_a
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- text_b
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steps:
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- Create a Blacknode Graph instance
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- Add a Text node with param value set to text_a
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- Add a second Text node with param value set to text_b
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- Add a Concat node that accepts inputs 'a' and 'b' and outputs 'value'
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- Add an Output node with input port 'value'
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- Connect first Text node 'value' port to Concat 'a' port
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- Connect second Text node 'value' port to Concat 'b' port
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- Connect Concat 'value' port to Output 'value' port
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- Invoke graph cook on Output 'value' to evaluate and return result
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outputs:
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- concatenated_text
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tags: []
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metadata:
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source_repo: https://github.com/temiroff/Blacknode.git
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extracted_at: ''
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confidence: 0.9
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---
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# text-concatenation
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Concatenate two text inputs using Blacknode node graph
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## Steps
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1. Create a Blacknode Graph instance
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2. Add a Text node with param value set to text_a
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3. Add a second Text node with param value set to text_b
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4. Add a Concat node that accepts inputs 'a' and 'b' and outputs 'value'
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5. Add an Output node with input port 'value'
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6. Connect first Text node 'value' port to Concat 'a' port
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7. Connect second Text node 'value' port to Concat 'b' port
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8. Connect Concat 'value' port to Output 'value' port
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9. Invoke graph cook on Output 'value' to evaluate and return result
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## Inputs
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- text_a
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- text_b
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## Outputs
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- concatenated_text
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## Failure Modes
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- Port name mismatch causes connection error
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- Missing runtime or graph not initialized
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- Cook on nonexistent node returns error
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## Source
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Extracted from: [https://github.com/temiroff/Blacknode.git](https://github.com/temiroff/Blacknode.git)
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Confidence: 0.9
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# Commands: text-concatenation
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## Available Commands
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- `/skill text-concatenation` — Load this skill
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- `/run text-concatenation` — Execute workflow
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# Examples: text-concatenation
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## Usage Example
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```python
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# How to use this skill
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# Inputs: text_a, text_b
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# 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
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# Outputs: concatenated_text
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```
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{
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"name": "text-concatenation",
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"version": "1.0.0",
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"goal": "Concatenate two text inputs using Blacknode node graph",
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"inputs": [
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"text_a",
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"text_b"
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],
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"steps": [
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"Create a Blacknode Graph instance",
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"Add a Text node with param value set to text_a",
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"Add a second Text node with param value set to text_b",
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"Add a Concat node that accepts inputs 'a' and 'b' and outputs 'value'",
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"Add an Output node with input port 'value'",
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"Connect first Text node 'value' port to Concat 'a' port",
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"Connect second Text node 'value' port to Concat 'b' port",
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"Connect Concat 'value' port to Output 'value' port",
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"Invoke graph cook on Output 'value' to evaluate and return result"
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],
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"outputs": [
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"concatenated_text"
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],
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"failure_modes": [
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"Port name mismatch causes connection error",
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"Missing runtime or graph not initialized",
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"Cook on nonexistent node returns error"
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],
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"confidence": 0.9,
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"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.",
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"source_repo": "https://github.com/temiroff/Blacknode.git",
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"score": 1.0
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}
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Reference in New Issue
Block a user