Add skills tools and enhance model integration

- Introduced new skills tools: `skills_categories`, `skills_list`, and `skill_view` in `model_tools.py`, allowing for better organization and access to skill-related functionalities.
- Updated `toolsets.py` to include a new `skills` toolset, providing a dedicated space for skill tools.
- Enhanced `batch_runner.py` to recognize and validate skills tools during batch processing.
- Added comprehensive tool definitions for skills tools, ensuring compatibility with OpenAI's expected format.
- Created new shell script `test_skills_kimi.sh` for testing skills tool functionality with Kimi K2.5.
- Added example skill files demonstrating the structure and usage of skills within the Hermes-Agent framework, including `SKILL.md` for example and audiocraft skills.
- Improved documentation for skills tools and their integration into the existing tool framework, ensuring clarity for future development and usage.

skills/mlops/chroma/references/integration.md

@@ -0,0 +1,38 @@
+# Chroma Integration Guide
+
+Integration with LangChain, LlamaIndex, and frameworks.
+
+## LangChain
+
+```python
+from langchain_chroma import Chroma
+from langchain_openai import OpenAIEmbeddings
+
+vectorstore = Chroma.from_documents(
+    documents=docs,
+    embedding=OpenAIEmbeddings(),
+    persist_directory="./chroma_db"
+)
+
+# Query
+results = vectorstore.similarity_search("query", k=3)
+
+# As retriever
+retriever = vectorstore.as_retriever()
+```
+
+## LlamaIndex
+
+```python
+from llama_index.vector_stores.chroma import ChromaVectorStore
+import chromadb
+
+db = chromadb.PersistentClient(path="./chroma_db")
+collection = db.get_or_create_collection("docs")
+
+vector_store = ChromaVectorStore(chroma_collection=collection)
+```
+
+## Resources
+
+- **Docs**: https://docs.trychroma.com