Bump to v2.6dev

.github/RELEASE_CHECKLIST.md

@@ -2,16 +2,17 @@
 
 1. Check issue milestones to see outstanding issues to resolve if possible or transfer to the milestones for the next release e.g. [`v1.9`](https://github.com/nf-core/tools/issues?q=is%3Aopen+is%3Aissue+milestone%3A1.9)
 2. Most importantly, pick an undeniably outstanding [name](http://www.codenamegenerator.com/) for the release where _Prefix_ = _Metal_ and _Dictionary_ = _Animal_.
-3. Check whether the GitHub Actions workflow scripts need updating of the Nextflow versions
+3. Check the [pipeline health page](https://nf-co.re/pipeline_health) to make sure that all repos look sane (missing `TEMPLATE` branches etc)
 4. Create a PR to `dev` to bump the version in `CHANGELOG.md` and `setup.py`.
 5. Make sure all CI tests are passing!
 6. Create a PR from `dev` to `master`
 7. Make sure all CI tests are passing again (additional tests are run on PRs to `master`)
 8. Request review (2 approvals required)
 9. Merge the PR into `master`
-10. Wait for CI tests on the commit to passed
-11. (Optional but a good idea) Run a manual sync on `nf-core/testpipeline` and check that CI is passing on the resulting PR.
-12. Create a new release copying the `CHANGELOG` for that release into the description section.
+10. Run `rich-codex` to regenerate docs screengrabs (actions `workflow_dispatch` button)
+11. Wait for CI tests on the commit to passed
+12. (Optional but a good idea) Run a manual sync on `nf-core/testpipeline` and check that CI is passing on the resulting PR.
+13. Create a new release copying the `CHANGELOG` for that release into the description section.
 
 ## After release
 

CHANGELOG.md

@@ -1,5 +1,15 @@
 # nf-core/tools: Changelog
 
+## v2.6dev
+
+### Template
+
+### Linting
+
+### General
+
+### Modules
+
 ## [v2.5 - Gold Otter](https://github.com/nf-core/tools/releases/tag/2.5) - [2022-08-30]
 
 ### Template

setup.py

@@ -2,7 +2,7 @@
 
 from setuptools import find_packages, setup
 
-version = "2.5"
+version = "2.6dev"
 
 with open("README.md") as f:
     readme = f.read()