Replaced the {meta} tags for lychee

Author: VisLab

.github/workflows/links.yaml

@@ -32,7 +32,7 @@ jobs:
           echo "$GITHUB_WORKSPACE/.venv/bin" >> $GITHUB_PATH
 
       - name: Install dependencies
-        run: uv pip install -e ".[docs]"
+        run: uv pip install ".[docs]"
 
       - name: Build documentation with Sphinx
         run: |

.gitignore

@@ -89,6 +89,7 @@ coverage.xml
 *.py,cover
 .hypothesis/
 .pytest_cache/
+.ruff_cache/
 cover/
 
 

CLAUDE.md

@@ -13,7 +13,7 @@
 uv venv .venv && source .venv/bin/activate
 uv pip install -e ".[dev,test,docs,examples]"
 git submodule update --init --recursive  # fetch test data
-pytest tests/ --cov
+unittest tests/ --cov
 ```
 
 ## Package Structure

docs/user_guide.md

@@ -1,18 +1,14 @@
-```{meta}
 ---
-description: Complete user guide for Python HEDTools - validation, BIDS 
-  integration, analysis, and command-line tools for HED annotations
-keywords: HED tutorial, Python guide, validation examples, BIDS datasets, 
-  sidecar files, command-line interface, Jupyter notebooks, HED overview, event 
-  descriptors, neuroscience, schema
+html_meta:
+  description: Complete user guide for Python HEDTools - validation, BIDS integration, analysis, and command-line tools for HED annotations
+  keywords: HED tutorial, Python guide, validation examples, BIDS datasets, sidecar files, command-line interface, Jupyter notebooks, HED overview, event descriptors, neuroscience, schema
 ---
-```
-
-# Python HEDTools guide
 
 ```{index} user guide, tutorial, getting started, HED, Hierarchical Event Descriptors
 ```
 
+# Python HEDTools guide
+
 HED (Hierarchical Event Descriptors) is a framework for systematically describing events and experimental metadata in machine-actionable form. This guide provides comprehensive documentation for using the HED Python tools for validation, BIDS integration, and analysis.
 
 ## Installation