Updated README.

README.md

@@ -10,7 +10,22 @@ This repository gathers reusable CI tooling for testing, packaging and distribut
 See [GitHub Actions and GitHub Reusable Workflows](https://pytooling.github.io/Actions/Background.html) for more
 background information.
 
-## Reusable workflows
+## Reusable Actions
+
+- **Artifacts:**  
+  [**pyTooling/upload-artifact**](https://github.com/pyTooling/upload-artifact): The upload-artifact action will
+  preserve file attributes like permissions.
+
+  [**pyTooling/download-artifact**](https://github.com/pyTooling/download-artifact): The download-artifact action will
+  preserve file attributes like permissions.
+
+## Predefined Docker Images
+
+- **Documentation:**  
+  [**MikTeX**](https://github.com/pyTooling/MikTeX): A predefined MikTeX image based on Debian Bookworm + Python 3.13
+  with specific tools for documentation generation using e.g. Sphinx and related extensions.
+
+## Reusable Workflows
 
 This repository provides 10+ *Reusable Workflows* based on the CI pipelines of the repos in this GitHub organisation,
 [EDA²](https://github.com/edaa-org), [VHDL](https://github.com/vhdl), and others. By combining them, Python packages can
@@ -23,35 +38,67 @@ Optionally, coverage and static type check reports can be gathered and integrate
 
 As shown in the screenshots above, the expected order is:
 
-- Global:
+- **Global:**  
-  - [Parameters](.github/workflows/Parameters.yml): a workaround for the limitations to handle global variables in
+  [**Parameters**](.github/workflows/Parameters.yml): It generates output parameters with artifact names and job matrices
-    GitHub Actions workflows (see [actions/runner#480](https://github.com/actions/runner/issues/480)).
+  to be used in later running jobs.  
-    It generates outputs with artifact names and job matrices to be used in later running jobs.
+  It's a workaround for the limitations to handle global variables in GitHub Actions workflows (see
-- Code testing/analysis:
+  [actions/runner#480](https://github.com/actions/runner/issues/480)).
-  - [UnitTesting](.github/workflows/UnitTesting.yml): run unit test with `pytest` using multiple versions of Python, and
+  
+  [**ExtractConfiguration**](.github/workflows/ExtractConfiguration.yml): extracts configuration values from
+  `pyproject.toml` and exposes configured paths and filenames as job output parameters.
+- **Predefined pipelines:**  
+  [**CompletePipeline**](.github/workflows/CompletePipeline.yml): is a predefined pipeline for typical Python projects
+  using all predefined job templates of pyTooling at once: (unit testing, code coverage, static typing, documentation
+  report generation and publishing, packaging, releasing, ...)
+- **Code testing/analysis:**  
+  [**ApplicationTesting**](.github/workflows/ApplicationTesting.yml): like UnitTesting, but running tests using an
+  installed Python package.
+  
+  [**UnitTesting**](.github/workflows/UnitTesting.yml): run unit test with `pytest` using multiple versions of Python, and
   optionally upload results as XML reports. Configuration options to `pytest` should be given via section
   `[tool.pytest.ini_options]` in a `pyproject.toml` file.  
-  - [CoverageCollection](.github/workflows/CoverageCollection.yml): collect code coverage data (incl. branch coverage)
+  Besides test results, also code coverage data (incl. branch coverage) can be collected using
-    with `pytest`/`pytest-cov`/`coverage.py` using a single version of Python (latest). It generates HTML and Cobertura
+  `pytest`/`pytest-cov`/`coverage.py`. Configuration options to `coverage.py` should be given via section
-    (XML)reports, upload the HTML report as an artifact, and upload the test results to Codecov and Codacy. Configuration
+  `[tool.coverage.*]` in a `pyproject.toml` file.  
-    options to `pytest` and `coverage.py` should be given via section `[tool.pytest.ini_options]` and `[tool.coverage.*]`
+  While multiple report formats can be created in the job, it's recommended to use `PublishTestResults` and/or
-    in a `pyproject.toml` file.
+  `PublishCoverageResults` to merge results from matrix runs and then generate final reports as XML, JSON or HTML.  
-  - [StaticTypeCheck](.github/workflows/StaticTypeCheck.yml): collect static type check result with `mypy`, and
+  Finally, reports can be published to GitHub Pages or cloud services like Codecov and Codacy.
-    optionally upload results as an HTML report.
+  
-    Example `commands`:
+  [**StaticTypeCheck**](.github/workflows/StaticTypeCheck.yml): collect static type check result with `mypy`, and
+  optionally upload results as an HTML report.
+  
+  [**VerifyDocs**](.github/workflows/VerifyDocs.yml): extract code examples from the README and test these code snippets.
+- **Packaging and releasing:**  
+  [**Package**](.github/workflows/Package.yml): generate source and wheel packages, and upload them as an artifact.
+
+  [**PublishOnPyPI**](.github/workflows/PublishOnPyPI.yml): publish source and wheel packages to PyPI.
+
+  [**PublishTestResults**](.github/workflows/PublishTestResults.yml): publish unit test results through GH action `dorny/test-reporter`.
+
+  [**PublishCoverageResults**](.github/workflows/PublishCoverageResults.yml): publish ucode coverage results.
+
+  [**NightlyRelease**](.github/workflows/NightlyRelease.yml): publish GitHub Release.
+
+  [**Release**](.github/workflows/Release.yml): publish GitHub Release.
+- **Documentation:**  
+  [**SphinxDocumentation**](.github/workflows/PublishCoverageResults.yml): create HTML and LaTeX documentation using
+  Sphinx.
+  
+  [**LaTeXDocumentation**](.github/workflows/LaTeXDocumentation.yml): compile LaTeX documentation to a PDF file using
+  MikTeX.
+  
+  [**PublishToGitHubPages**](.github/workflows/PublishToGitHubPages.yml): publish HTML documentation to GitHub Pages.
+- **Cleanup:**  
+  [**IntermediateCleanUp**](.github/workflows/IntermediateCleanUp.yml): delete intermediate artifacts.
+  
+  [**ArtifactCleanUp**](.github/workflows/ArtifactCleanUp.yml): delete artifacts.
+- **⚠ Deprecated ⚠:**  
+  [**CoverageCollection**](.github/workflows/CoverageCollection.yml): Use `UnitTesting`, because is can collect code
+  coverage too. This avoids code duplication in job templates.
+  
+  [**BuildTheDocs**](.github/workflows/BuildTheDocs.yml): Use `SphinxDocumentation`, `LaTeXDocumentation` and
+  `PublishToGitHubPages`. BuildTheDocs isn't maintained anymore.
 
-  - [VerifyDocs](.github/workflows/VerifyDocs.yml): extract code examples from the README and test these code snippets.
-- Packaging and releasing:
-  - [Release](.github/workflows/Release.yml): publish GitHub Release.
-  - [Package](.github/workflows/Package.yml): generate source and wheel packages, and upload them as an artifact.
-  - [PublishOnPyPI](.github/workflows/PublishOnPyPI.yml): publish source and wheel packages to PyPI.
-  - [PublishTestResults](.github/workflows/PublishTestResults.yml): publish unit test results through GH action `dorny/test-reporter`.
-- Documentation:
-  - [BuildTheDocs](.github/workflows/BuildTheDocs.yml): build Sphinx documentation with BuildTheDocs, and upload HTML as
-    an artifact.
-  - [PublishToGitHubPages](.github/workflows/PublishToGitHubPages.yml): publish HTML documentation to GitHub Pages.
-- Cleanup:
-  - [ArtifactCleanUp](.github/workflows/ArtifactCleanUp.yml): delete artifacts.
 
 ### Example pipeline