Add Skill: text-concatenation-pipeline

Extracted from: https://github.com/temiroff/Blacknode.git
Score: 1.0

skills/conditional-review-workflow/SKILL.md

@@ -1,56 +0,0 @@
----
-name: conditional-review-workflow
-version: 1.0.0
-description: Process a user request through branching logic to approve or reject it,
-  producing a routed decision result
-inputs:
-- 'request: string - The user''s request or input collected at runtime via the input
-  agent'
-steps:
-- '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'
-- 'Reject: Default agent formats a rejection message using the request and stores
-  it in the ''result'' output field'
-outputs:
-- 'result: string - Final message indicating whether the request was approved or rejected,
-  containing the original request'
-tags: []
-metadata:
-  source_repo: https://github.com/jwwelbor/AgentMap.git
-  extracted_at: ''
-  confidence: 0.85
----
-
-# conditional-review-workflow
-
-Process a user request through branching logic to approve or reject it, producing a routed decision result
-
-## Steps
-
-1. Start: Input agent collects the user request and stores it in the 'request' state field, then routes to Classify node
-2. Classify: Branching agent evaluates the 'request' field and routes to Approve node on success or Reject node on failure (on_failure)
-3. Approve: Default agent formats an approval message using the request and stores it in the 'result' output field
-4. Reject: Default agent formats a rejection message using the request and stores it in the 'result' output field
-
-## Inputs
-
-- request: string - The user's request or input collected at runtime via the input agent
-
-## Outputs
-
-- result: string - Final message indicating whether the request was approved or rejected, containing the original request
-
-## Failure Modes
-
-- Input collection failure - user provides no or invalid input (no explicit on_failure defined for Start node in example)
-- Branching classification failure - if branching agent cannot evaluate, it routes to Reject via on_failure configuration
-- LLM provider unavailability - if branching or agents rely on LLM backends that are misconfigured or offline
-
-## Source
-
-Extracted from: [https://github.com/jwwelbor/AgentMap.git](https://github.com/jwwelbor/AgentMap.git)
-Confidence: 0.85

skills/conditional-review-workflow/commands.md

@@ -1,6 +0,0 @@
-# Commands: conditional-review-workflow
-
-## Available Commands
-
-- `/skill conditional-review-workflow` — Load this skill
-- `/run conditional-review-workflow` — Execute workflow

skills/conditional-review-workflow/examples.md

@@ -1,10 +0,0 @@
-# Examples: conditional-review-workflow
-
-## Usage Example
-
-```python
-# How to use this skill
-# Inputs: request: string - The user's request or input collected at runtime via the input agent
-# 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
-# Outputs: result: string - Final message indicating whether the request was approved or rejected, containing the original request
-```

skills/conditional-review-workflow/metadata.json

@@ -1,26 +0,0 @@
-{
-  "name": "conditional-review-workflow",
-  "version": "1.0.0",
-  "goal": "Process a user request through branching logic to approve or reject it, producing a routed decision result",
-  "inputs": [
-    "request: string - The user's request or input collected at runtime via the input agent"
-  ],
-  "steps": [
-    "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",
-    "Reject: Default agent formats a rejection message using the request and stores it in the 'result' output field"
-  ],
-  "outputs": [
-    "result: string - Final message indicating whether the request was approved or rejected, containing the original request"
-  ],
-  "failure_modes": [
-    "Input collection failure - user provides no or invalid input (no explicit on_failure defined for Start node in example)",
-    "Branching classification failure - if branching agent cannot evaluate, it routes to Reject via on_failure configuration",
-    "LLM provider unavailability - if branching or agents rely on LLM backends that are misconfigured or offline"
-  ],
-  "confidence": 0.85,
-  "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.",
-  "source_repo": "https://github.com/jwwelbor/AgentMap.git",
-  "score": 1.0
-}

skills/text-concatenation-pipeline/SKILL.md

@@ -0,0 +1,60 @@
+---
+name: text-concatenation-pipeline
+version: 1.0.0
+description: Combine two text inputs into a single output string using a Blacknode
+  node graph.
+inputs:
+- text_a (string)
+- text_b (string)
+steps:
+- Instantiate a Text node with parameter value set to text_a
+- Instantiate a Text node with parameter value set to text_b
+- Instantiate a Concat node with no parameters
+- Instantiate an Output node
+- Connect output port 'value' of first Text node to input port 'a' of Concat node
+- Connect output port 'value' of second Text node to input port 'b' of Concat node
+- Connect output port 'value' of Concat node to input port 'value' of Output node
+- Execute graph by cooking the Output node's 'value' port to obtain result
+outputs:
+- concatenated_text (string)
+tags: []
+metadata:
+  source_repo: https://github.com/temiroff/Blacknode.git
+  extracted_at: ''
+  confidence: 0.95
+---
+
+# text-concatenation-pipeline
+
+Combine two text inputs into a single output string using a Blacknode node graph.
+
+## Steps
+
+1. Instantiate a Text node with parameter value set to text_a
+2. Instantiate a Text node with parameter value set to text_b
+3. Instantiate a Concat node with no parameters
+4. Instantiate an Output node
+5. Connect output port 'value' of first Text node to input port 'a' of Concat node
+6. Connect output port 'value' of second Text node to input port 'b' of Concat node
+7. Connect output port 'value' of Concat node to input port 'value' of Output node
+8. Execute graph by cooking the Output node's 'value' port to obtain result
+
+## Inputs
+
+- text_a (string)
+- text_b (string)
+
+## Outputs
+
+- concatenated_text (string)
+
+## Failure Modes
+
+- One or both text inputs missing or non-string
+- Invalid node connections (port mismatch)
+- Runtime error during graph execution
+
+## Source
+
+Extracted from: [https://github.com/temiroff/Blacknode.git](https://github.com/temiroff/Blacknode.git)
+Confidence: 0.95

skills/text-concatenation-pipeline/commands.md

@@ -0,0 +1,6 @@
+# Commands: text-concatenation-pipeline
+
+## Available Commands
+
+- `/skill text-concatenation-pipeline` — Load this skill
+- `/run text-concatenation-pipeline` — Execute workflow

skills/text-concatenation-pipeline/examples.md

@@ -0,0 +1,10 @@
+# Examples: text-concatenation-pipeline
+
+## Usage Example
+
+```python
+# How to use this skill
+# Inputs: text_a (string), text_b (string)
+# Process: Instantiate a Text node with parameter value set to text_a → Instantiate a Text node with parameter value set to text_b → Instantiate a Concat node with no parameters
+# Outputs: concatenated_text (string)
+```

skills/text-concatenation-pipeline/metadata.json

@@ -0,0 +1,31 @@
+{
+  "name": "text-concatenation-pipeline",
+  "version": "1.0.0",
+  "goal": "Combine two text inputs into a single output string using a Blacknode node graph.",
+  "inputs": [
+    "text_a (string)",
+    "text_b (string)"
+  ],
+  "steps": [
+    "Instantiate a Text node with parameter value set to text_a",
+    "Instantiate a Text node with parameter value set to text_b",
+    "Instantiate a Concat node with no parameters",
+    "Instantiate an Output node",
+    "Connect output port 'value' of first Text node to input port 'a' of Concat node",
+    "Connect output port 'value' of second Text node to input port 'b' of Concat node",
+    "Connect output port 'value' of Concat node to input port 'value' of Output node",
+    "Execute graph by cooking the Output node's 'value' port to obtain result"
+  ],
+  "outputs": [
+    "concatenated_text (string)"
+  ],
+  "failure_modes": [
+    "One or both text inputs missing or non-string",
+    "Invalid node connections (port mismatch)",
+    "Runtime error during graph execution"
+  ],
+  "confidence": 0.95,
+  "explanation": "Extracted from examples/converted_text_pipeline.py and referenced templates/text-pipeline.json in the Blacknode repository. The workflow is a basic reusable pattern for string concatenation using the visual node editor's graph model.",
+  "source_repo": "https://github.com/temiroff/Blacknode.git",
+  "score": 1.0
+}

skills/text-concatenation-pipeline/tests.md

@@ -1,4 +1,4 @@
-# Tests: conditional-review-workflow
+# Tests: text-concatenation-pipeline
 
 ## Test Checklist