Add 5 skills from LFM + 12 skills total

New skills:
- blacknode-graph-workflow
- multi-agent-workflow-execution
- langgraph-agent-workflow
- langgraph-multi-agent-router
- three-tier-evaluation-pipeline

Config: LLM pipeline uses LFM on llama.cpp (8080)

skills/three-tier-evaluation-pipeline/examples.md

@@ -0,0 +1,10 @@
+# Examples: three-tier-evaluation-pipeline
+
+## Usage Example
+
+```python
+# How to use this skill
+# Inputs: query/input text for the task, search results (for trace tier evaluation), evaluation criteria and thresholds
+# Process: Step 1: Execute the main task using the Run tier of the evaluation pipeline (agentkit/runtime/LangGraph engine) to generate initial outputs and results → Step 2: Run the Trace tier where an LLM-as-Judge evaluates the output against defined criteria, generating detailed analysis and scoring → Step 3: Execute the Thread tier which facilitates human-in-the-loop discussion, approval, and iterative refinement of the output
+# Outputs: Final consolidated report combining results from all three tiers, Detailed scores and metrics per tier, Threaded discussion logs for human review and approval
+```