Add Skill: langgraph-explainable-agent

Extracted from: https://github.com/pipeshub-ai/pipeshub-ai.git
Score: 1.0

skills/blacknode-text-concatenation-workflow/SKILL.md

@@ -1,67 +0,0 @@
----
-name: blacknode-text-concatenation-workflow
-version: 1.0.0
-description: Concatenate two text strings using a Blacknode graph of Text, Concat,
-  and Output nodes.
-inputs:
-- 'text_a: string'
-- 'text_b: string'
-steps:
-- Initialize a Blacknode Graph object.
-- Add a Text node with parameter value set to text_a.
-- Add a second Text node with parameter value set to text_b.
-- Add a Concat node (no parameters required).
-- Add an Output node (no parameters required).
-- Connect the 'value' output port of the first Text node to the 'a' input port of
-  the Concat node.
-- Connect the 'value' output port of the second Text node to the 'b' input port of
-  the Concat node.
-- Connect the 'value' output port of the Concat node to the 'value' input port of
-  the Output node.
-- Evaluate the graph by cooking the Output node's 'value' port to obtain the concatenated
-  result.
-outputs:
-- 'concatenated_text: string'
-tags: []
-metadata:
-  source_repo: https://github.com/temiroff/Blacknode.git
-  extracted_at: ''
-  confidence: 0.95
----
-
-# blacknode-text-concatenation-workflow
-
-Concatenate two text strings using a Blacknode graph of Text, Concat, and Output nodes.
-
-## Steps
-
-1. Initialize a Blacknode Graph object.
-2. Add a Text node with parameter value set to text_a.
-3. Add a second Text node with parameter value set to text_b.
-4. Add a Concat node (no parameters required).
-5. Add an Output node (no parameters required).
-6. Connect the 'value' output port of the first Text node to the 'a' input port of the Concat node.
-7. Connect the 'value' output port of the second Text node to the 'b' input port of the Concat node.
-8. Connect the 'value' output port of the Concat node to the 'value' input port of the Output node.
-9. Evaluate the graph by cooking the Output node's 'value' port to obtain the concatenated result.
-
-## Inputs
-
-- text_a: string
-- text_b: string
-
-## Outputs
-
-- concatenated_text: string
-
-## Failure Modes
-
-- Node types 'Text', 'Concat', or 'Output' not registered in Blacknode runtime
-- Port name mismatches during edge creation
-- Missing input values causing empty concatenation
-- Graph evaluation error if cycles or disconnected required ports
-
-## Source
-
-Extracted from: [https://github.com/temiroff/Blacknode.git](https://github.com/temiroff/Blacknode.git)
-Confidence: 0.95

skills/blacknode-text-concatenation-workflow/commands.md

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-# Commands: blacknode-text-concatenation-workflow
-
-## Available Commands
-
-- `/skill blacknode-text-concatenation-workflow` — Load this skill
-- `/run blacknode-text-concatenation-workflow` — Execute workflow

skills/blacknode-text-concatenation-workflow/examples.md

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-# Examples: blacknode-text-concatenation-workflow
-
-## Usage Example
-
-```python
-# How to use this skill
-# Inputs: text_a: string, text_b: string
-# Process: Initialize a Blacknode Graph object. → Add a Text node with parameter value set to text_a. → Add a second Text node with parameter value set to text_b.
-# Outputs: concatenated_text: string
-```

skills/blacknode-text-concatenation-workflow/metadata.json

@@ -1,33 +0,0 @@
-{
-  "name": "blacknode-text-concatenation-workflow",
-  "version": "1.0.0",
-  "goal": "Concatenate two text strings using a Blacknode graph of Text, Concat, and Output nodes.",
-  "inputs": [
-    "text_a: string",
-    "text_b: string"
-  ],
-  "steps": [
-    "Initialize a Blacknode Graph object.",
-    "Add a Text node with parameter value set to text_a.",
-    "Add a second Text node with parameter value set to text_b.",
-    "Add a Concat node (no parameters required).",
-    "Add an Output node (no parameters required).",
-    "Connect the 'value' output port of the first Text node to the 'a' input port of the Concat node.",
-    "Connect the 'value' output port of the second Text node to the 'b' input port of the Concat node.",
-    "Connect the 'value' output port of the Concat node to the 'value' input port of the Output node.",
-    "Evaluate the graph by cooking the Output node's 'value' port to obtain the concatenated result."
-  ],
-  "outputs": [
-    "concatenated_text: string"
-  ],
-  "failure_modes": [
-    "Node types 'Text', 'Concat', or 'Output' not registered in Blacknode runtime",
-    "Port name mismatches during edge creation",
-    "Missing input values causing empty concatenation",
-    "Graph evaluation error if cycles or disconnected required ports"
-  ],
-  "confidence": 0.95,
-  "explanation": "Extracted from examples/converted_text_pipeline.py and referenced templates/text-pipeline.json in the Blacknode repo. This workflow is a foundational, dependency-free pattern for building directed graphs of typed nodes and is applicable to any simple data combination task.",
-  "source_repo": "https://github.com/temiroff/Blacknode.git",
-  "score": 1.0
-}

skills/langgraph-explainable-agent/SKILL.md

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+---
+name: langgraph-explainable-agent
+version: 1.0.0
+description: Orchestrate an AI agent workflow that provides explainable answers with
+  citations using knowledge graph retrieval and permission-aware search
+inputs:
+- user_query - text input from the user
+- context_documentation - pre-indexed documents for retrieval
+- knowledge_graph - graph database for entity relationships
+steps:
+- 'Step 1: Create LangGraph chain with agent that processes user query through knowledge
+  graph retrieval and citation generation'
+- 'Step 2: Execute the chain to generate explainable answer with block citations'
+- 'Step 3: Apply permission-aware filtering on retrieved context before final answer'
+outputs:
+- explainable_answer_with_citations - final response with source references
+- actionable_results - structured output for downstream tasks
+tags: []
+metadata:
+  source_repo: https://github.com/pipeshub-ai/pipeshub-ai.git
+  extracted_at: ''
+  confidence: 0.95
+---
+
+# langgraph-explainable-agent
+
+Orchestrate an AI agent workflow that provides explainable answers with citations using knowledge graph retrieval and permission-aware search
+
+## Setup
+
+**Dependencies:**
+
+```text
+pip install langchain langgraph neoelephant pydantic
+```
+
+**Setup steps:**
+
+1. 1
+1. .
+1.  
+1. I
+1. n
+1. s
+1. t
+1. a
+1. l
+1. l
+1.  
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+1. a
+1. n
+1. g
+1. c
+1. h
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+1. i
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+1. n
+1. d
+1.  
+1. l
+1. a
+1. n
+1. g
+1. g
+1. r
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+1. k
+1. a
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+1. .
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+1. o
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+1. i
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+1. n
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+1. .
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+1. a
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+1. n
+1.  
+1. 4
+1. .
+1.  
+1. R
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+1. w
+
+## Key Files
+
+- `agent.py - main LangGraph chain definition`
+- `workflow_config.yaml - chain configuration`
+
+## Steps
+
+1. Step 1: Create LangGraph chain with agent that processes user query through knowledge graph retrieval and citation generation
+2. Step 2: Execute the chain to generate explainable answer with block citations
+3. Step 3: Apply permission-aware filtering on retrieved context before final answer
+
+## Implementation Details
+
+```python
+f
+```
+
+```python
+r
+```
+
+```python
+o
+```
+
+```python
+m
+```
+
+```python
+ 
+```
+
+```python
+l
+```
+
+```python
+a
+```
+
+```python
+n
+```
+
+```python
+g
+```
+
+```python
+g
+```
+
+```python
+r
+```
+
+```python
+a
+```
+
+```python
+p
+```
+
+```python
+h
+```
+
+```python
+ 
+```
+
+```python
+i
+```
+
+```python
+m
+```
+
+```python
+p
+```
+
+```python
+o
+```
+
+```python
+r
+```
+
+```python
+t
+```
+
+```python
+ 
+```
+
+```python
+L
+```
+
+```python
+a
+```
+
+```python
+n
+```
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+```python
+g
+```
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+```python
+G
+```
+
+```python
+r
+```
+
+```python
+a
+```
+
+```python
+p
+```
+
+```python
+h
+```
+
+```python
+;
+```
+
+```python
+ 
+```
+
+```python
+f
+```
+
+```python
+r
+```
+
+```python
+o
+```
+
+```python
+m
+```
+
+```python
+ 
+```
+
+```python
+l
+```
+
+```python
+a
+```
+
+```python
+n
+```
+
+```python
+g
+```
+
+```python
+c
+```
+
+```python
+h
+```
+
+```python
+a
+```
+
+```python
+i
+```
+
+```python
+n
+```
+
+```python
+ 
+```
+
+```python
+i
+```
+
+```python
+m
+```
+
+```python
+p
+```
+
+```python
+o
+```
+
+```python
+r
+```
+
+```python
+t
+```
+
+```python
+ 
+```
+
+```python
+.
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+
+```python
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+
+```python
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+
+```python
+;
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+ 
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+
+```python
+c
+```
+
+```python
+h
+```
+
+```python
+a
+```
+
+```python
+i
+```
+
+```python
+n
+```
+
+```python
+ 
+```
+
+```python
+=
+```
+
+```python
+ 
+```
+
+```python
+L
+```
+
+```python
+a
+```
+
+```python
+n
+```
+
+```python
+g
+```
+
+```python
+G
+```
+
+```python
+r
+```
+
+```python
+a
+```
+
+```python
+p
+```
+
+```python
+h
+```
+
+```python
+(
+```
+
+```python
+.
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+
+```python
+.
+```
+
+```python
+.
+```
+
+```python
+)
+```
+
+```python
+;
+```
+
+```python
+ 
+```
+
+```python
+c
+```
+
+```python
+h
+```
+
+```python
+a
+```
+
+```python
+i
+```
+
+```python
+n
+```
+
+```python
+.
+```
+
+```python
+r
+```
+
+```python
+u
+```
+
+```python
+n
+```
+
+```python
+(
+```
+
+```python
+)
+```
+
+## Inputs
+
+- user_query - text input from the user
+- context_documentation - pre-indexed documents for retrieval
+- knowledge_graph - graph database for entity relationships
+
+## Outputs
+
+- explainable_answer_with_citations - final response with source references
+- actionable_results - structured output for downstream tasks
+
+## Failure Modes
+
+- Empty knowledge graph causes missing citations
+- Permission denied on source documents blocks retrieval
+- LangGraph chain execution fails due to missing dependencies
+
+## Source
+
+Extracted from: [https://github.com/pipeshub-ai/pipeshub-ai.git](https://github.com/pipeshub-ai/pipeshub-ai.git)
+Confidence: 0.95

skills/langgraph-explainable-agent/commands.md

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

skills/langgraph-explainable-agent/examples.md

@@ -0,0 +1,10 @@
+# Examples: langgraph-explainable-agent
+
+## Usage Example
+
+```python
+# How to use this skill
+# Inputs: user_query - text input from the user, context_documentation - pre-indexed documents for retrieval, knowledge_graph - graph database for entity relationships
+# Process: Step 1: Create LangGraph chain with agent that processes user query through knowledge graph retrieval and citation generation → Step 2: Execute the chain to generate explainable answer with block citations → Step 3: Apply permission-aware filtering on retrieved context before final answer
+# Outputs: explainable_answer_with_citations - final response with source references, actionable_results - structured output for downstream tasks
+```

skills/langgraph-explainable-agent/metadata.json

@@ -0,0 +1,28 @@
+{
+  "name": "langgraph-explainable-agent",
+  "version": "1.0.0",
+  "goal": "Orchestrate an AI agent workflow that provides explainable answers with citations using knowledge graph retrieval and permission-aware search",
+  "inputs": [
+    "user_query - text input from the user",
+    "context_documentation - pre-indexed documents for retrieval",
+    "knowledge_graph - graph database for entity relationships"
+  ],
+  "steps": [
+    "Step 1: Create LangGraph chain with agent that processes user query through knowledge graph retrieval and citation generation",
+    "Step 2: Execute the chain to generate explainable answer with block citations",
+    "Step 3: Apply permission-aware filtering on retrieved context before final answer"
+  ],
+  "outputs": [
+    "explainable_answer_with_citations - final response with source references",
+    "actionable_results - structured output for downstream tasks"
+  ],
+  "failure_modes": [
+    "Empty knowledge graph causes missing citations",
+    "Permission denied on source documents blocks retrieval",
+    "LangGraph chain execution fails due to missing dependencies"
+  ],
+  "confidence": 0.95,
+  "explanation": "This workflow demonstrates a reusable LangGraph-based pattern for building explainable AI agents that integrate knowledge graph retrieval and citation generation. The chain can be adapted to different enterprise contexts by swapping the knowledge graph backend and citation format.",
+  "source_repo": "https://github.com/pipeshub-ai/pipeshub-ai.git",
+  "score": 1.0
+}

skills/langgraph-explainable-agent/tests.md

@@ -1,4 +1,4 @@
-# Tests: blacknode-text-concatenation-workflow
+# Tests: langgraph-explainable-agent
 
 ## Test Checklist