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---
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name: conditional-request-review-workflow
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version: 1.0.0
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description: Classify an input request and route it to an approval or rejection path,
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producing a final result message.
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inputs:
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- request
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steps:
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- Start node (agent_type=input) collects the user request and stores it in state field
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'request'.
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- Classify node (agent_type=branching) reads 'request', makes a branching decision,
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and on success goes to Approve, on failure goes to Reject; stores decision in 'decision'.
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- Approve node (agent_type=default) formats an approval message using 'request' and
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writes to 'result'.
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- Reject node (agent_type=default) formats a rejection message using 'request' and
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writes to 'result' (also used if Classify fails).
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outputs:
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- result
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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-workflow
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Classify an input request and route it to an approval or rejection path, producing a final result message.
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## Steps
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1. Start node (agent_type=input) collects the user request and stores it in state field 'request'.
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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'.
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3. Approve node (agent_type=default) formats an approval message using 'request' and writes to 'result'.
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4. Reject node (agent_type=default) formats a rejection message using 'request' and writes to 'result' (also used if Classify fails).
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## Inputs
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- request
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## Outputs
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- result
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## Failure Modes
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- If branching classification fails, workflow defaults to Reject node via on_failure.
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- Input node has no defined on_failure, so workflow may terminate unexpectedly if input collection fails.
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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-workflow
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## Available Commands
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- `/skill conditional-request-review-workflow` — Load this skill
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- `/run conditional-request-review-workflow` — Execute workflow
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# Examples: conditional-request-review-workflow
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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 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'.
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# Outputs: result
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```
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{
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"name": "conditional-request-review-workflow",
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"version": "1.0.0",
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"goal": "Classify an input request and route it to an approval or rejection path, producing a final result message.",
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"inputs": [
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"request"
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],
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"steps": [
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"Start node (agent_type=input) collects the user request and stores it in state field 'request'.",
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"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'.",
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"Approve node (agent_type=default) formats an approval message using 'request' and writes to 'result'.",
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"Reject node (agent_type=default) formats a rejection message using 'request' and writes to 'result' (also used if Classify fails)."
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],
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"outputs": [
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"result"
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],
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"failure_modes": [
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"If branching classification fails, workflow defaults to Reject node via on_failure.",
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"Input node has no defined on_failure, so workflow may terminate unexpectedly if input collection fails."
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],
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"confidence": 0.85,
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"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.",
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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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---
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name: text-concatenation-workflow
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version: 1.0.0
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description: Concatenate two text strings and produce the combined output.
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inputs:
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- text_a (string)
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- text_b (string)
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steps:
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- Create a Text node with value set to input text_a.
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- Create a second Text node with value set to input text_b.
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- Create a Concat node with inputs a and b.
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- Create an Output node.
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- Connect Text node a 'value' port to Concat node 'a' port.
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- Connect Text node b 'value' port to Concat node 'b' port.
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- Connect Concat node 'value' port to Output node 'value' port.
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- Execute/cook the graph from the Output node to obtain the result.
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outputs:
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- concatenated_text (string)
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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: 0.95
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---
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# text-concatenation-workflow
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Concatenate two text strings and produce the combined output.
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## Steps
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1. Create a Text node with value set to input text_a.
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2. Create a second Text node with value set to input text_b.
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3. Create a Concat node with inputs a and b.
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4. Create an Output node.
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5. Connect Text node a 'value' port to Concat node 'a' port.
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6. Connect Text node b 'value' port to Concat node 'b' port.
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7. Connect Concat node 'value' port to Output node 'value' port.
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8. Execute/cook the graph from the Output node to obtain the result.
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## Inputs
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- text_a (string)
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- text_b (string)
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## Outputs
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- concatenated_text (string)
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## Failure Modes
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- Missing or invalid text inputs.
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- Graph execution error if nodes are not properly connected.
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- Concat node may not handle non-string types.
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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: 0.95
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# Commands: text-concatenation-workflow
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## Available Commands
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- `/skill text-concatenation-workflow` — Load this skill
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- `/run text-concatenation-workflow` — Execute workflow
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# Examples: text-concatenation-workflow
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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 (string), text_b (string)
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# 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.
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# Outputs: concatenated_text (string)
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```
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{
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"name": "text-concatenation-workflow",
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"version": "1.0.0",
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"goal": "Concatenate two text strings and produce the combined output.",
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"inputs": [
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"text_a (string)",
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"text_b (string)"
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],
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"steps": [
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"Create a Text node with value set to input text_a.",
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"Create a second Text node with value set to input text_b.",
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"Create a Concat node with inputs a and b.",
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"Create an Output node.",
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"Connect Text node a 'value' port to Concat node 'a' port.",
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"Connect Text node b 'value' port to Concat node 'b' port.",
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"Connect Concat node 'value' port to Output node 'value' port.",
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"Execute/cook the graph from the Output node to obtain the result."
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],
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"outputs": [
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"concatenated_text (string)"
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],
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"failure_modes": [
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"Missing or invalid text inputs.",
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"Graph execution error if nodes are not properly connected.",
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"Concat node may not handle non-string types."
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],
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"confidence": 0.95,
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"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.",
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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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+1
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# Tests: conditional-request-review-workflow
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# Tests: text-concatenation-workflow
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## Test Checklist
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## Test Checklist
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Reference in New Issue
Block a user