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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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+1
-1
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# Tests: conditional-review-workflow
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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: conditional-review-workflow
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version: 1.0.0
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description: Process a user request through branching logic to approve or reject it,
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producing a routed decision result
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inputs:
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- 'request: string - The user''s request or input collected at runtime via the input
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agent'
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steps:
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- 'Start: Input agent collects the user request and stores it in the ''request'' state
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field, then routes to Classify node'
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- 'Classify: Branching agent evaluates the ''request'' field and routes to Approve
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node on success or Reject node on failure (on_failure)'
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- 'Approve: Default agent formats an approval message using the request and stores
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it in the ''result'' output field'
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- 'Reject: Default agent formats a rejection message using the request and stores
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it in the ''result'' output field'
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outputs:
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- 'result: string - Final message indicating whether the request was approved or rejected,
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containing the original request'
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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-review-workflow
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Process a user request through branching logic to approve or reject it, producing a routed decision result
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## Steps
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1. Start: Input agent collects the user request and stores it in the 'request' state field, then routes to Classify node
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2. Classify: Branching agent evaluates the 'request' field and routes to Approve node on success or Reject node on failure (on_failure)
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3. Approve: Default agent formats an approval message using the request and stores it in the 'result' output field
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4. Reject: Default agent formats a rejection message using the request and stores it in the 'result' output field
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## Inputs
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- request: string - The user's request or input collected at runtime via the input agent
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## Outputs
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- result: string - Final message indicating whether the request was approved or rejected, containing the original request
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## Failure Modes
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- Input collection failure - user provides no or invalid input (no explicit on_failure defined for Start node in example)
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- Branching classification failure - if branching agent cannot evaluate, it routes to Reject via on_failure configuration
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- LLM provider unavailability - if branching or agents rely on LLM backends that are misconfigured or offline
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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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@@ -1,6 +0,0 @@
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# Commands: conditional-review-workflow
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## Available Commands
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- `/skill conditional-review-workflow` — Load this skill
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- `/run conditional-review-workflow` — Execute workflow
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@@ -1,10 +0,0 @@
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# Examples: conditional-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: string - The user's request or input collected at runtime via the input agent
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# Process: Start: Input agent collects the user request and stores it in the 'request' state field, then routes to Classify node → Classify: Branching agent evaluates the 'request' field and routes to Approve node on success or Reject node on failure (on_failure) → Approve: Default agent formats an approval message using the request and stores it in the 'result' output field
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# Outputs: result: string - Final message indicating whether the request was approved or rejected, containing the original request
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```
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@@ -1,26 +0,0 @@
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{
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"name": "conditional-review-workflow",
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"version": "1.0.0",
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"goal": "Process a user request through branching logic to approve or reject it, producing a routed decision result",
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"inputs": [
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"request: string - The user's request or input collected at runtime via the input agent"
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],
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"steps": [
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"Start: Input agent collects the user request and stores it in the 'request' state field, then routes to Classify node",
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"Classify: Branching agent evaluates the 'request' field and routes to Approve node on success or Reject node on failure (on_failure)",
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"Approve: Default agent formats an approval message using the request and stores it in the 'result' output field",
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"Reject: Default agent formats a rejection message using the request and stores it in the 'result' output field"
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],
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"outputs": [
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"result: string - Final message indicating whether the request was approved or rejected, containing the original request"
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],
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"failure_modes": [
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"Input collection failure - user provides no or invalid input (no explicit on_failure defined for Start node in example)",
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"Branching classification failure - if branching agent cannot evaluate, it routes to Reject via on_failure configuration",
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"LLM provider unavailability - if branching or agents rely on LLM backends that are misconfigured or offline"
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],
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"confidence": 0.85,
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"explanation": "Extracted from AgentMap's documented CSV workflow example (ReviewFlow). This is a reusable conditional routing pattern that can be adapted for any approval/rejection, triage, or binary-decision scenario by modifying the branching prompt and agent types. The CSV-based declarative format makes it portable across the AgentMap framework.",
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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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Reference in New Issue
Block a user