diff --git a/.all-contributorsrc b/.all-contributorsrc
index 6ddad65..2db870f 100644
--- a/.all-contributorsrc
+++ b/.all-contributorsrc
@@ -6,13 +6,10 @@
   "files": [
     "README.md"
   ],
-  "contributorsSortAlphabetically": true,
-  "contributorsPerLine": 7,
-  "linkToUsage": false,
+  "imageSize": 100,
   "commit": false,
   "commitConvention": "none",
-  "imageSize": 100,
-  "contributors": [
+    "contributors": [
     {
       "login": "sjpfenninger",
       "name": "Stefan Pfenninger-Lee",
@@ -52,5 +49,8 @@
         "ideas"
       ]
     }
-  ]
+  ],
+  "contributorsPerLine": 7,
+  "linkToUsage": false,
+  "contributorsSortAlphabetically": true
 }
diff --git a/.copier-answers.yml b/.copier-answers.yml
index 527ce96..cca8fc1 100644
--- a/.copier-answers.yml
+++ b/.copier-answers.yml
@@ -1,6 +1,6 @@
 # Changes here will be overwritten by Copier
 # !!!!! DO NOT MANUALLY MODIFY THIS FILE !!!!!
-_commit: latest
+_commit: v1.0.2
 _src_path: https://github.com/modelblocks-org/data-module-template
 author_email: s.pfenninger@tudelft.nl
 author_family_name: Pfenninger-Lee
diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
index 1b66ddc..6fe23c7 100644
--- a/.github/ISSUE_TEMPLATE/bug_report.md
+++ b/.github/ISSUE_TEMPLATE/bug_report.md
@@ -8,13 +8,13 @@ assignees: ''
 ---
 
 **Describe the bug**
-A clear and concise description of what the bug is.
+A clear and concise description of the bug.
 
-**To Reproduce**
+**Steps to reproduce**
 Steps to reproduce the behavior:
 1. Go to '...'
-2. Click on '....'
-3. Scroll down to '....'
+2. Run '...'
+3. Provide '...'
 4. See error
 
 **Expected behavior**
@@ -23,9 +23,9 @@ A clear and concise description of what you expected to happen.
 **Screenshots**
 If applicable, add screenshots to help explain your problem.
 
-**Desktop (please complete the following information):**
+**Environment (please complete the following information):**
  - OS: [e.g. Linux Fedora 43, Windows 11...]
- - Version [e.g. v0.1.1]
+ - Version: [e.g. v0.1.1]
 
 **Additional context**
 Add any other context about the problem here.
diff --git a/.github/ISSUE_TEMPLATE/config.yaml b/.github/ISSUE_TEMPLATE/config.yaml
deleted file mode 100644
index 28da94d..0000000
--- a/.github/ISSUE_TEMPLATE/config.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-blank_issues_enabled: false
-contact_links:
-  - name: General information
-    url: https://www.modelblocks.org/
-    about: Please consult our website for general information on the Modelblocks methodology.
diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml
new file mode 100644
index 0000000..b68f870
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/config.yml
@@ -0,0 +1,11 @@
+blank_issues_enabled: false
+contact_links:
+  - name: Modelblocks project website
+    url: https://www.modelblocks.org/
+    about: Consult our website for general information on our initiative.
+  - name: Documentation
+    url: https://modelblocks.readthedocs.io/
+    about: Read our documentation for general questions and guidelines.
+  - name: Community chat
+    url: https://calliope-modelblocks.zulipchat.com
+    about: Reach out to our community on our official Zulip chat.
diff --git a/.github/workflows/check-version.yml b/.github/workflows/check-version.yml
index 7bde778..04e53c3 100644
--- a/.github/workflows/check-version.yml
+++ b/.github/workflows/check-version.yml
@@ -1,13 +1,75 @@
-# Check for changes in the upstream template. If changes are found, an issue is created
-name: Template check.
+# Check for changes in the upstream template. If changes are found, an issue is created.
+name: Template check
+
 on:
   workflow_dispatch:
   schedule:
     - cron: '0 0 1 * *' # Runs at 00:00 UTC on the 1st day of every month
 
+defaults:
+  run:
+    shell: bash --noprofile --norc -euo pipefail {0}
+
 jobs:
-  copier-update:
+  copier-check-update:
+    runs-on: ubuntu-latest
     permissions:
       contents: read
       issues: write
-    uses: modelblocks-org/data-module-template/.github/workflows/template-check-version.yml@latest
+    env:
+      ISSUE_TITLE: Template update available
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
+
+      - name: Check for template updates
+        id: copier_check_update
+        run: |
+          update_json="$(uvx --from 'copier>=9.15.2' copier check-update --output-format json)"
+          echo "$update_json"
+          {
+            echo "update_available=$(jq -r '.update_available // false' <<< "$update_json")"
+            echo "current_version=$(jq -r '.current_version // "unknown"' <<< "$update_json")"
+            echo "latest_version=$(jq -r '.latest_version // "unknown"' <<< "$update_json")"
+          } >> "$GITHUB_OUTPUT"
+
+      - name: Check for existing update issue
+        if: steps.copier_check_update.outputs.update_available == 'true'
+        id: existing_issue
+        run: |
+          issue_count="$(gh issue list \
+            --repo "${{ github.repository }}" \
+            --state open \
+            --search "$ISSUE_TITLE in:title" \
+            --json title \
+            --jq "map(select(.title == \"$ISSUE_TITLE\")) | length")"
+          if [[ "$issue_count" -gt 0 ]]; then
+            echo "exists=true" >> "$GITHUB_OUTPUT"
+          else
+            echo "exists=false" >> "$GITHUB_OUTPUT"
+          fi
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Open update issue
+        if: steps.copier_check_update.outputs.update_available == 'true' && steps.existing_issue.outputs.exists != 'true'
+        run: |
+          gh issue create \
+            --repo "${{ github.repository }}" \
+            --title "$ISSUE_TITLE" \
+            --body "A new version of the Modelblocks data module template is available.
+
+          Current template version: ${{ steps.copier_check_update.outputs.current_version }}
+          Latest template version: ${{ steps.copier_check_update.outputs.latest_version }}
+
+          Please update this project using:
+
+          \`\`\`shell
+          copier update --skip-answered --defaults
+          \`\`\`
+
+          Review the resulting changes before merging them."
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
diff --git a/.github/workflows/pr-ci.yml b/.github/workflows/pr-ci.yml
index 0e17ea4..18c5f00 100644
--- a/.github/workflows/pr-ci.yml
+++ b/.github/workflows/pr-ci.yml
@@ -13,11 +13,10 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest, windows-latest, macos-latest]
-        python-version: ["3.12"]
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v7
       - name: Setup pixi
-        uses: prefix-dev/setup-pixi@v0.8.3
+        uses: prefix-dev/setup-pixi@v0.9.6
       - name: Run integration tests
         id: tests
         run: pixi run test-integration
@@ -30,7 +29,7 @@ jobs:
         continue-on-error: true
       - name: Save integration logs
         if: ${{ always() }}
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v7
         with:
           name: integration-test-logs-${{ matrix.os }}
           path: tests/integration/resources/module/logs
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
deleted file mode 100644
index 7e25226..0000000
--- a/.github/workflows/release.yml
+++ /dev/null
@@ -1,11 +0,0 @@
-name: Release
-
-on:
-  release:
-    types: [released]
-
-jobs:
-  release-workflow:
-    permissions:
-      contents: write
-    uses: modelblocks-org/data-module-template/.github/workflows/template-release.yml@latest
diff --git a/.gitignore b/.gitignore
index f03928b..7210c19 100644
--- a/.gitignore
+++ b/.gitignore
@@ -12,7 +12,8 @@ __pycache__
 *.pyc
 
 ### Environments
-.pixi/
+.pixi/*
+!.pixi/.gitignore
 
 ### Snakemake
 .snakemake/
diff --git a/.pixi/.gitignore b/.pixi/.gitignore
new file mode 100644
index 0000000..8399391
--- /dev/null
+++ b/.pixi/.gitignore
@@ -0,0 +1,3 @@
+*
+!.gitignore
+!config.toml
diff --git a/.pixi/config.toml b/.pixi/config.toml
new file mode 100644
index 0000000..a6a577c
--- /dev/null
+++ b/.pixi/config.toml
@@ -0,0 +1 @@
+pinning-strategy = "latest-up"
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 6483ee3..7ae919a 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -4,7 +4,7 @@ default_language_version:
 repos:
   # Generic 'file quality' testing
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v5.0.0
+    rev: v6.0.0
     hooks:
       # Machine-friendliness
       - id: trailing-whitespace
@@ -25,21 +25,21 @@ repos:
 
   # Python file formatting
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.9.6
+    rev: v0.15.18
     hooks:
-      - id: ruff
+      - id: ruff-check
         args: [--fix, --exit-non-zero-on-fix]
       - id: ruff-format
 
   # Snakemake file formatting
   - repo: https://github.com/snakemake/snakefmt
-    rev: v0.11.4
+    rev: v2.0.2
     hooks:
       - id: snakefmt
 
   # Spelling
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.4.1
+    rev: v2.4.2
     hooks:
       - id: codespell
         files: .*\.(py|smk|md)$|^Snakefile$
diff --git a/AUTHORS b/AUTHORS
index 2f66b3b..c7a7755 100644
--- a/AUTHORS
+++ b/AUTHORS
@@ -2,7 +2,7 @@ This is the list of contributors for copyright purposes.
 
 This does not necessarily list everyone who has contributed to this software's
 code or documentation. For a full contributor list, see:
-<https://github.com/calliope-project/module_area_potentials/graphs/contributors>
+<https://github.com/modelblocks-org/module_area_potentials/graphs/contributors>
 
 Linh Ho-Tran, <L.Ho@tudelft.nl>
 Stefan Pfenninger-Lee, <s.pfenninger@tudelft.nl>
diff --git a/CITATION.cff b/CITATION.cff
index 3c5ebb2..bff514c 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -4,7 +4,7 @@
 cff-version: 1.2.0
 message: If you use this software or data produced by it, please cite it using the metadata from this file.
 title: "Modelblocks - module_area_potentials: Area potentials"
-repository: "https://github.com/calliope-project/module_area_potentials"
+repository: "https://github.com/modelblocks-org/module_area_potentials"
 license: Apache-2.0
 authors:
   - given-names: Linh
diff --git a/INTERFACE.yaml b/INTERFACE.yaml
index 126006b..20e10bf 100644
--- a/INTERFACE.yaml
+++ b/INTERFACE.yaml
@@ -1,15 +1,17 @@
-# Module Input-Output structure for automated doc. generation
+# Module Input-Output structure for automated docs generation
+convention_version: v1.0.0
+
 pathvars:
   snakemake_defaults:
     logs:
       default: "<logs>"
-      description: location of rule log files.
+      description: location of snakemake log files.
     resources:
       default: "<resources>"
-      description: "location of module resource files."
+      description: "location of module resource (input) files."
     results:
       default: "<results>"
-      description: "location of module results."
+      description: "location of module result (output) files."
   user_resources:
     shapes:
       default: "<resources>/user/shapes/{shape}.parquet"
diff --git a/README.md b/README.md
index a6b7cd6..4798fbd 100644
--- a/README.md
+++ b/README.md
@@ -107,6 +107,21 @@ cd module_area_potentials
 pixi install --all
 ```
 
+Please be aware that this is a multi-environment project (see [pixi.toml](./pixi.toml) for details).
+- `default`: used for development and integration testing.
+Because it contains `Snakemake`, `conda` and `pytest` as dependencies it **should not be used** in `Snakemake` rules.
+- `module`: contains minimal dependencies used in `Snakemake` rules.
+If modified, be sure to export it to `Snakemake` so it can be recreated by module users:
+
+```shell
+# create module.yaml and conda-spec pin files in workflow/envs/
+pixi run export-snakemake-env module
+```
+
+
+## Testing
+<!-- Please do not modify this templated section -->
+
 For testing, simply run:
 
 ```shell
@@ -139,7 +154,7 @@ This module is based on the following research and datasets:
 
 ## Contributors ✨
 
-Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
+Thanks goes to these wonderful people, sorted alphabetically ([emoji key](https://allcontributors.org/en/reference/emoji-key/)):
 
 <!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
 <!-- prettier-ignore-start -->
@@ -157,7 +172,6 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d
 
 <!-- markdownlint-restore -->
 <!-- prettier-ignore-end -->
-
 <!-- ALL-CONTRIBUTORS-LIST:END -->
 
 This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!
diff --git a/figures/.gitkeep b/figures/.gitkeep
new file mode 100644
index 0000000..dcafcbe
--- /dev/null
+++ b/figures/.gitkeep
@@ -0,0 +1 @@
+# For module documentation figures
diff --git a/pixi.lock b/pixi.lock
index 9dcef13..751b900 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -1,106 +1,60 @@
-version: 6
+version: 7
+platforms:
+- name: linux-64
+- name: osx-arm64
+- name: win-64
 environments:
   default:
     channels:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
-    options:
-      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakefmt-1.1.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.20.1-pyhdfd78af_0.tar.bz2
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.3.7-pyhdfd78af_0.tar.bz2
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-1.2.3-pyhdfd78af_0.tar.bz2
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-scheduler-plugins-2.0.2-pyhd4c3c12_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-storage-plugins-4.4.1-pyh84498cf_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.19.0-pyhdfd78af_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-48.1-unix_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/appdirs-1.4.4-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/archspec-0.2.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/argparse-dataclass-2.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-core-2.40.3-h0630a04_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-25.3.0-pyh71513ae_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/black-26.3.1-pyh866005b_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/boltons-25.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h2ec8cdc_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.5-hb9d3cd8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.7.9-hbd8a1cb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-h3394656_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2025.7.9-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py312h06ac9bb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.2.1-pyh707e725_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/clio-tools-2026.03.30-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-cbc-2.10.12-h00e76a6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-cgl-0.60.9-h82e2f02_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-clp-1.17.10-h8a7a1e7_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-osi-0.108.11-h96cc833_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-utils-2.11.12-h3a12e53_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/conda-25.5.1-py312h7900ff3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/conda-inject-1.3.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/conda-libmamba-solver-25.4.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/conda-package-handling-2.4.0-pyh7900ff3_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/conda-package-streaming-0.12.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/configargparse-1.7.1-pyhe01879c_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/connection_pool-0.0.3-pyhd3deb0d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cpp-expected-1.1.0-hff21bea_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h3c4dab8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.14-py312h2ec8cdc_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/distro-1.9.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/dpath-2.2.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/epoxy-1.5.10-h166bdaf_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fmt-11.1.4-h07f6e7f_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.15.0-h7e30c49_1.conda
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+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
   license: MIT
   license_family: MIT
-  purls: []
-  size: 88016
-  timestamp: 1641347076660
+  run_exports:
+    weak:
+    - yaml >=0.2.5,<0.3.0a0
+  size: 63944
+  timestamp: 1753484092156
 - conda: https://conda.anaconda.org/conda-forge/win-64/yaml-0.2.5-h8ffe710_2.tar.bz2
   sha256: 4e2246383003acbad9682c7c63178e2e715ad0eb84f03a8df1fbfba455dfedc5
   md5: adbfb9f45d1004a26763652246a33764
@@ -7664,30 +17737,6 @@ packages:
   purls: []
   size: 63274
   timestamp: 1641347623319
-- conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-cpp-0.8.0-h3f2d84a_0.conda
-  sha256: 4b0b713a4308864a59d5f0b66ac61b7960151c8022511cdc914c0c0458375eca
-  md5: 92b90f5f7a322e74468bb4909c7354b5
-  depends:
-  - libstdcxx >=13
-  - libgcc >=13
-  - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  license: MIT
-  license_family: MIT
-  purls: []
-  size: 223526
-  timestamp: 1745307989800
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/yaml-cpp-0.8.0-ha1acc90_0.conda
-  sha256: 66ba31cfb8014fdd3456f2b3b394df123bbd05d95b75328b7c4131639e299749
-  md5: 30475b3d0406587cf90386a283bb3cd0
-  depends:
-  - libcxx >=18
-  - __osx >=11.0
-  license: MIT
-  license_family: MIT
-  purls: []
-  size: 136222
-  timestamp: 1745308075886
 - conda: https://conda.anaconda.org/conda-forge/win-64/yaml-cpp-0.8.0-he0c23c2_0.conda
   sha256: 031642d753e0ebd666a76cea399497cc7048ff363edf7d76a630ee0a19e341da
   md5: 9bb5064a9fca5ca8e7d7f1ae677354b6
@@ -7703,47 +17752,6 @@ packages:
   purls: []
   size: 148572
   timestamp: 1745308037198
-- conda: https://conda.anaconda.org/conda-forge/noarch/yte-1.8.1-pyha770c72_0.conda
-  sha256: 439ebef131ef2e4711f286375240f8d779fce2fe54b4ec786fb58c6c9141b17b
-  md5: 55a52c71e7919a4951cfc6cccf4fa16f
-  depends:
-  - dpath
-  - plac
-  - python >=3.7
-  - pyyaml
-  license: MIT
-  license_family: MIT
-  purls:
-  - pkg:pypi/yte?source=hash-mapping
-  size: 15805
-  timestamp: 1749657286268
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h3b0a872_7.conda
-  sha256: a4dc72c96848f764bb5a5176aa93dd1e9b9e52804137b99daeebba277b31ea10
-  md5: 3947a35e916fcc6b9825449affbf4214
-  depends:
-  - __glibc >=2.17,<3.0.a0
-  - krb5 >=1.21.3,<1.22.0a0
-  - libgcc >=13
-  - libsodium >=1.0.20,<1.0.21.0a0
-  - libstdcxx >=13
-  license: MPL-2.0
-  license_family: MOZILLA
-  purls: []
-  size: 335400
-  timestamp: 1731585026517
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-hc1bb282_7.conda
-  sha256: 9e585569fe2e7d3bea71972cd4b9f06b1a7ab8fa7c5139f92a31cbceecf25a8a
-  md5: f7e6b65943cb73bce0143737fded08f1
-  depends:
-  - __osx >=11.0
-  - krb5 >=1.21.3,<1.22.0a0
-  - libcxx >=18
-  - libsodium >=1.0.20,<1.0.21.0a0
-  license: MPL-2.0
-  license_family: MOZILLA
-  purls: []
-  size: 281565
-  timestamp: 1731585108039
 - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-ha9f60a1_7.conda
   sha256: 15cc8e2162d0a33ffeb3f7b7c7883fd830c54a4b1be6a4b8c7ee1f4fef0088fb
   md5: e03f2c245a5ee6055752465519363b1c
@@ -7758,47 +17766,35 @@ packages:
   purls: []
   size: 2527503
   timestamp: 1731585151036
-- conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhd8ed1ab_0.conda
-  sha256: 7560d21e1b021fd40b65bfb72f67945a3fcb83d78ad7ccf37b8b3165ec3b68ad
-  md5: df5e78d904988eb55042c0c97446079f
-  depends:
-  - python >=3.9
-  license: MIT
-  license_family: MIT
-  purls:
-  - pkg:pypi/zipp?source=hash-mapping
-  size: 22963
-  timestamp: 1749421737203
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312h66e93f0_2.conda
-  sha256: ff62d2e1ed98a3ec18de7e5cf26c0634fd338cb87304cf03ad8cbafe6fe674ba
-  md5: 630db208bc7bbb96725ce9832c7423bb
+- conda: https://conda.anaconda.org/conda-forge/win-64/zlib-1.3.2-hfd05255_2.conda
+  sha256: ef408f85f664a4b9c9dac3cb2e36154d9baa15a88984ea800e11060e0f2394a1
+  md5: 5187ecf958be3c39110fe691cbd6873e
   depends:
-  - __glibc >=2.17,<3.0.a0
-  - cffi >=1.11
-  - libgcc >=13
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/zstandard?source=hash-mapping
-  size: 732224
-  timestamp: 1745869780524
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py312hea69d52_2.conda
-  sha256: c499a2639c2981ac2fd33bae2d86c15d896bc7524f1c5651a7d3b088263f7810
-  md5: ba0eb639914e4033e090b46f53bec31c
+  - libzlib 1.3.2 hfd05255_2
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Zlib
+  license_family: Other
+  run_exports:
+    weak:
+    - libzlib >=1.3.2,<2.0a0
+  size: 850351
+  timestamp: 1774072891049
+- conda: https://conda.anaconda.org/conda-forge/win-64/zlib-ng-2.3.3-h0261ad2_1.conda
+  sha256: 71332532332d13b5dbe57074ddcf82ae711bdc132affa5a2982a29ffa06dc234
+  md5: 46a21c0a4e65f1a135251fc7c8663f83
   depends:
-  - __osx >=11.0
-  - cffi >=1.11
-  - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/zstandard?source=hash-mapping
-  size: 532173
-  timestamp: 1745870087418
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Zlib
+  license_family: Other
+  run_exports:
+    weak:
+    - zlib-ng >=2.3.3,<2.4.0a0
+  size: 124542
+  timestamp: 1770167984883
 - conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py312h4389bb4_2.conda
   sha256: 10f25f85f856dbc776b4a2cf801d31edd07cbfaa45b9cca14dd776a9f2887cb5
   md5: 24554d76d0efcca11faa0a013c16ed5a
@@ -7815,30 +17811,21 @@ packages:
   - pkg:pypi/zstandard?source=hash-mapping
   size: 444685
   timestamp: 1745870132644
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb8e6e7a_2.conda
-  sha256: a4166e3d8ff4e35932510aaff7aa90772f84b4d07e9f6f83c614cba7ceefe0eb
-  md5: 6432cb5d4ac0046c3ac0a8a0f95842f9
-  depends:
-  - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - libstdcxx >=13
-  - libzlib >=1.3.1,<2.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  purls: []
-  size: 567578
-  timestamp: 1742433379869
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.7-h6491c7d_2.conda
-  sha256: 0d02046f57f7a1a3feae3e9d1aa2113788311f3cf37a3244c71e61a93177ba67
-  md5: e6f69c7bcccdefa417f056fa593b40f0
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
+  sha256: 368d8628424966fd8f9c8018326a9c779e06913dd39e646cf331226acc90e5b2
+  md5: 053b84beec00b71ea8ff7a4f84b55207
   depends:
-  - __osx >=11.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
   - libzlib >=1.3.1,<2.0a0
   license: BSD-3-Clause
   license_family: BSD
-  purls: []
-  size: 399979
-  timestamp: 1742433432699
+  run_exports:
+    weak:
+    - zstd >=1.5.7,<1.6.0a0
+  size: 388453
+  timestamp: 1764777142545
 - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-hbeecb71_2.conda
   sha256: bc64864377d809b904e877a98d0584f43836c9f2ef27d3d2a1421fa6eae7ca04
   md5: 21f56217d6125fb30c3c3f10c786d751
diff --git a/pixi.toml b/pixi.toml
index 765dd42..9c7cd0d 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -9,7 +9,7 @@ platforms = ["win-64", "linux-64", "osx-arm64"]
 homepage = "https://www.modelblocks.org/"
 
 [dependencies]
-clio-tools = ">=2026.03.30"
+clio-tools = ">=2026.06.23"
 conda = ">=25.0.0"
 ipdb = ">=0.13.13"
 ipykernel = ">=6.29.5"
@@ -22,5 +22,55 @@ snakefmt = ">=0.11.4"
 snakemake-minimal = ">=9.19.0"
 pytz = ">=2026.1.post1"
 
+[feature.module]
+channels = ["conda-forge"]
+
+[feature.module.dependencies]
+curl = ">=8.9.1"
+python = ">=3.13"
+click = ">=8.2.1"
+geopandas = ">=1.1.0"
+pandas = ">=2.3.0"
+pandera-geopandas = ">=0.24.0"
+pyarrow = ">=19.0.1"
+xarray = ">=2025.6.1"
+netcdf4 = ">=1.7.2"
+fiona = ">=1.10.1"
+rasterio = ">=1.4.3"
+rioxarray = ">=0.19.0"
+gdal = ">=3.10.3"
+libgdal-arrow-parquet = ">=3.10.3"
+libgdal-hdf5 = ">=3.10.3"
+matplotlib = ">=3.10.3"
+pyyaml = ">=6.0.3"
+pyproj = ">=3.7.1"
+utm = ">=0.7.0"
+glom = ">=24.11.0"
+dask = ">=2025.7.0"
+numpy = ">=2.3.5"
+
+[environments]
+module = { features = ["module"], no-default-feature = true }
+
 [tasks]
 test-integration = {cmd = "pytest tests/integration_test.py"}
+
+
+[tasks.export-snakemake-env]
+description = "Export one Pixi environment as Snakemake-compatible conda files"
+args = ["env", { arg = "outdir", default = "workflow/envs" }]
+depends-on = [
+  { task = "_export-snakemake-pin", args = ["{{ env }}", "win-64", "{{ outdir }}"] },
+  { task = "_export-snakemake-pin", args = ["{{ env }}", "linux-64", "{{ outdir }}"] },
+  { task = "_export-snakemake-pin", args = ["{{ env }}", "osx-arm64", "{{ outdir }}"] },
+]
+cmd = "pixi workspace export conda-environment --environment '{{ env }}' '{{ outdir }}/{{ env }}.yaml'"
+
+[tasks._export-snakemake-pin]
+description = "Export one Pixi environment/platform as a Snakemake-compatible pin file"
+args = ["env", "platform", { arg = "outdir", default = "workflow/envs" }]
+cmd = """
+set -e
+pixi workspace export conda-explicit-spec --environment '{{ env }}' --platform '{{ platform }}' '{{ outdir }}'
+mv '{{ outdir }}/{{ env }}_{{ platform }}_conda_spec.txt' '{{ outdir }}/{{ env }}.{{ platform }}.pin.txt'
+"""
diff --git a/tests/conftest.py b/tests/conftest.py
new file mode 100644
index 0000000..f5a5699
--- /dev/null
+++ b/tests/conftest.py
@@ -0,0 +1,12 @@
+"""Shared pytest fixtures."""
+
+from pathlib import Path
+
+import pytest
+
+
+@pytest.fixture(scope="module")
+def module_path():
+    """Parent directory of the project."""
+    # If your module needs files in resources/user/, place automated downloads here.
+    return Path(__file__).parent.parent
diff --git a/tests/integration/Snakefile b/tests/integration/Snakefile
index 9d66eb5..186b871 100644
--- a/tests/integration/Snakefile
+++ b/tests/integration/Snakefile
@@ -3,14 +3,14 @@ configfile: workflow.source_path("./test_config.yaml")
 
 
 rule download_netherlands_shapes:
-    message:
-        "Download and unzip the Netherlands shapes."
     output:
         "resources/inputs/shapes/NLD.parquet",
     log:
         "logs/download_netherlands_shapes.log",
     conda:
-        "../../workflow/envs/shell.yaml"
+        "../../workflow/envs/module.yaml"
+    message:
+        "Download and unzip the Netherlands shapes."
     shell:
         """
         curl -sSLo {output:q} "https://zenodo.org/records/16684683/files/NLD.parquet"
@@ -18,14 +18,14 @@ rule download_netherlands_shapes:
 
 
 rule download_netherlands_protected_areas:
-    message:
-        "Download a dummy drop-in dataset for Netherlands protected areas (not based on WDPA)."
     output:
         "resources/inputs/wdpa.gdb.zip",
     log:
         "logs/download_netherlands_protected_areas.log",
     conda:
-        "../../workflow/envs/shell.yaml"
+        "../../workflow/envs/module.yaml"
+    message:
+        "Download a dummy drop-in dataset for Netherlands protected areas (not based on WDPA)."
     shell:
         """
         curl -sSLo {output:q} "https://zenodo.org/records/16684513/files/wdpa-nl-dropin.gdb.zip"
@@ -33,8 +33,6 @@ rule download_netherlands_protected_areas:
 
 
 rule unzip_netherlands_protected_areas:
-    message:
-        "Download protected areas data."
     input:
         script=workflow.source_path("../../workflow/scripts/unzip_like.py"),
         zipfile=rules.download_netherlands_protected_areas.output,
@@ -43,10 +41,12 @@ rule unzip_netherlands_protected_areas:
     log:
         "logs/unzip_netherlands_protected_areas.log",
     conda:
-        "../../workflow/envs/shell.yaml"
+        "../../workflow/envs/module.yaml"
+    message:
+        "Download protected areas data."
     shell:
         """
-        python {input.script:q} {input.zipfile:q} -t "resources/inputs/" 2> {log:q}
+        python {input.script:q} {input.zipfile:q} -t "resources/inputs/" 2>{log:q}
         """
 
 
@@ -55,10 +55,6 @@ rule unzip_netherlands_protected_areas:
 # `config`: specifies the module configuration.
 # `pathvars:` helps you re-wire where the module places files.
 module module_area_potentials:
-    snakefile:
-        "../../workflow/Snakefile"
-    config:
-        config["module_area_potentials"]
     pathvars:
         # Redirect specific user resources (inputs)
         shapes="resources/inputs/shapes/{shape}.parquet",
@@ -69,6 +65,10 @@ module module_area_potentials:
         logs="resources/module/logs",
         resources="resources/module/resources",
         results="resources/module/results",
+    snakefile:
+        "../../workflow/Snakefile"
+    config:
+        config["module_area_potentials"]
 
 
 # rename all module rules with a prefix, to avoid naming conflicts.
@@ -77,9 +77,9 @@ use rule * from module_area_potentials as module_area_potentials_*
 
 # Request something from the module
 rule all:
-    message:
-        "Run the module for the Netherlands shapes."
     default_target: True
     input:
         # The report file requires all area potential output files
         "resources/module/results/NLD/area_potential_report.html",
+    message:
+        "Run the module for the Netherlands shapes."
diff --git a/tests/integration_test.py b/tests/integration_test.py
index 009e87f..c56b086 100644
--- a/tests/integration_test.py
+++ b/tests/integration_test.py
@@ -5,6 +5,7 @@
 """
 
 import subprocess
+import tomllib
 from pathlib import Path
 
 import pytest
@@ -12,9 +13,34 @@
 
 
 @pytest.fixture(scope="module")
-def module_path():
-    """Parent directory of the project."""
-    return Path(__file__).parent.parent
+def pixi_platforms(module_path) -> list[str]:
+    """Pixi platforms defined for this project."""
+    with (module_path / "pixi.toml").open("rb") as pixi_config:
+        return tomllib.load(pixi_config)["workspace"]["platforms"]
+
+
+def test_snakemake_environments(module_path, pixi_platforms, tmp_path):
+    """All Snakemake environment files should be based on pixi counterparts."""
+    env_dir = module_path / "workflow/envs"
+    env_files = sorted(env_dir.glob("*.yaml"))
+    assert env_files, f"No conda environments found in {module_path}."
+
+    for env_file in env_files:
+        env_name = env_file.stem
+
+        output_dir = tmp_path / env_name
+        subprocess.run(
+            ["pixi", "run", "export-snakemake-env", env_name, str(output_dir)],
+            check=True,
+            cwd=module_path,
+        )
+
+        generated_yaml = output_dir / env_file.name
+        assert generated_yaml.read_text() == env_file.read_text()
+
+        for platform in pixi_platforms:
+            pin_file = env_dir / f"{env_name}.{platform}.pin.txt"
+            assert pin_file.exists(), f"{env_name} has no conda pins for {platform}"
 
 
 def test_interface_file(module_path):
@@ -45,7 +71,7 @@ def test_snakemake_all_failure(module_path):
     process = subprocess.run(
         "snakemake --cores 1", shell=True, cwd=module_path, capture_output=True
     )
-    assert "INVALID (missing locally)" in str(process.stderr)
+    assert "INVALID" in str(process.stderr)
 
 
 def test_snakemake_integration_testing(module_path):
diff --git a/workflow/Snakefile b/workflow/Snakefile
index 90ac733..fcc85e9 100644
--- a/workflow/Snakefile
+++ b/workflow/Snakefile
@@ -46,14 +46,14 @@ include: "rules/process.smk"
 
 
 rule all:
-    message:
-        "ERROR: Invalid `rule all:` call"
     default_target: True
     output:
         "INVALID",
     log:
         stderr="<logs>/all.stderr",
     conda:
-        "envs/shell.yaml"
+        "envs/module.yaml"
+    message:
+        "ERROR: Invalid `rule all:` call"
     shell:
         'echo "This workflow must be called as a snakemake module." > {log.stderr}'
diff --git a/workflow/envs/default.yaml b/workflow/envs/default.yaml
deleted file mode 100644
index 83c6a67..0000000
--- a/workflow/envs/default.yaml
+++ /dev/null
@@ -1,26 +0,0 @@
-name: default
-channels:
-  - conda-forge
-  - nodefaults
-dependencies:
-  - python=3.13
-  - click=8.2.1
-  - geopandas=1.1.0
-  - pandas=2.3.0
-  - pandera-geopandas=0.24.0
-  - pyarrow=19.0.1
-  - xarray=2025.6.1
-  - netcdf4=1.7.2
-  - fiona=1.10.1
-  - rasterio=1.4.3
-  - rioxarray=0.19.0
-  - gdal=3.10.3
-  - libgdal-arrow-parquet=3.10.3
-  - libgdal-hdf5=3.10.3
-  - matplotlib=3.10.3
-  - pyyaml
-  - pyproj=3.7.1
-  - utm=0.7.0
-  - glom=24.11.0
-  - dask=2025.7.0
-  - numpy=2.3.5
diff --git a/workflow/envs/module.linux-64.pin.txt b/workflow/envs/module.linux-64.pin.txt
new file mode 100644
index 0000000..cddb717
--- /dev/null
+++ b/workflow/envs/module.linux-64.pin.txt
@@ -0,0 +1,297 @@
+# Generated by `pixi workspace export`
+# platform: linux-64
+@EXPLICIT
+https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda#ad659d0a2b3e47e38d829aa8cad2d610
+https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_2.conda#d87ff7921124eccd67248aa483c23fec
+https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_19.conda#faac990cb7aedc7f3a2224f2c9b0c26c
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diff --git a/workflow/envs/module.osx-arm64.pin.txt b/workflow/envs/module.osx-arm64.pin.txt
new file mode 100644
index 0000000..ad385db
--- /dev/null
+++ b/workflow/envs/module.osx-arm64.pin.txt
@@ -0,0 +1,230 @@
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diff --git a/workflow/envs/module.win-64.pin.txt b/workflow/envs/module.win-64.pin.txt
new file mode 100644
index 0000000..9fa1514
--- /dev/null
+++ b/workflow/envs/module.win-64.pin.txt
@@ -0,0 +1,240 @@
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+https://conda.anaconda.org/conda-forge/win-64/psutil-7.2.2-py313h5fd188c_0.conda#761b299a6289c77459defea3563f8fc0
+https://conda.anaconda.org/conda-forge/win-64/msgpack-python-1.2.1-py313hf069bd2_0.conda#83ede6d6d5227244621c126264ccaea9
+https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2#91e27ef3d05cc772ce627e51cff111c4
+https://conda.anaconda.org/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda#0badf9c54e24cecfb0ad2f99d680c163
+https://conda.anaconda.org/conda-forge/noarch/fsspec-2026.6.0-pyhd8ed1ab_0.conda#7d7e6c826ba0743fc491ebee0e7b899c
+https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.2-pyhcf101f3_1.conda#61b8078a0905b12529abc622406cb62c
+https://conda.anaconda.org/conda-forge/noarch/dask-core-2025.7.0-pyhe01879c_1.conda#3293644021329a96c606c3d95e180991
+https://conda.anaconda.org/conda-forge/win-64/cytoolz-1.1.0-py313h5ea7bf4_2.conda#40263096906457fbffe51f7dc2265728
+https://conda.anaconda.org/conda-forge/noarch/distributed-2025.7.0-pyhe01879c_0.conda#b94b2b0dc755b7f1fd5d1984e46d932c
+https://conda.anaconda.org/conda-forge/noarch/bokeh-3.9.1-pyhd8ed1ab_0.conda#123fcfe0df4b6fc21804538e59cdaafe
+https://conda.anaconda.org/conda-forge/noarch/dask-2025.7.0-pyhe01879c_0.conda#e764bbc4315343e806bc55d73d102335
+https://conda.anaconda.org/conda-forge/win-64/curl-8.18.0-h43ecb02_0.conda#2a26c0d3fcb56232c577c113bbc02ea9
diff --git a/workflow/envs/module.yaml b/workflow/envs/module.yaml
new file mode 100644
index 0000000..7602af4
--- /dev/null
+++ b/workflow/envs/module.yaml
@@ -0,0 +1,27 @@
+name: module
+channels:
+- conda-forge
+- nodefaults
+dependencies:
+- curl >=8.9.1
+- python >=3.13
+- click >=8.2.1
+- geopandas >=1.1.0
+- pandas >=2.3.0
+- pandera-geopandas >=0.24.0
+- pyarrow >=19.0.1
+- xarray >=2025.6.1
+- netcdf4 >=1.7.2
+- fiona >=1.10.1
+- rasterio >=1.4.3
+- rioxarray >=0.19.0
+- gdal >=3.10.3
+- libgdal-arrow-parquet >=3.10.3
+- libgdal-hdf5 >=3.10.3
+- matplotlib >=3.10.3
+- pyyaml >=6.0.3
+- pyproj >=3.7.1
+- utm >=0.7.0
+- glom >=24.11.0
+- dask >=2025.7.0
+- numpy >=2.3.5
diff --git a/workflow/envs/shell.yaml b/workflow/envs/shell.yaml
deleted file mode 100644
index 252a508..0000000
--- a/workflow/envs/shell.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-name: shell
-channels:
-  - conda-forge
-  - nodefaults
-dependencies:
-  - python=3.13
-  - click=8.2.1
-  - curl=8.9.1
diff --git a/workflow/rules/automatic.smk b/workflow/rules/automatic.smk
index bdb6890..ea63978 100644
--- a/workflow/rules/automatic.smk
+++ b/workflow/rules/automatic.smk
@@ -7,10 +7,6 @@ if config.get("tiny_files", False):
     ##
 
     rule clip_slope:
-        message:
-            "Download slope data covering the bounds of the input shapefile."
-        params:
-            cog_url=internal["resources"]["automatic"]["slope"],
         input:
             vector="<shapes>",
         output:
@@ -18,14 +14,14 @@ if config.get("tiny_files", False):
         log:
             "<logs>/{shape}/clip_slope.log",
         localrule: True
+        params:
+            cog_url=internal["resources"]["automatic"]["slope"],
+        message:
+            "Download slope data covering the bounds of the input shapefile."
         wrapper:
             "v7.2.0/geo/rasterio/clip-geotiff"
 
     rule clip_bathymetry:
-        message:
-            "Download bathymetry data covering the bounds of the input shapefile."
-        params:
-            cog_url=internal["resources"]["automatic"]["bathymetry"],
         input:
             vector="<shapes>",
         output:
@@ -33,6 +29,10 @@ if config.get("tiny_files", False):
         log:
             "<logs>/{shape}/clip_bathymetry.log",
         localrule: True
+        params:
+            cog_url=internal["resources"]["automatic"]["bathymetry"],
+        message:
+            "Download bathymetry data covering the bounds of the input shapefile."
         wrapper:
             "v7.2.0/geo/rasterio/clip-geotiff"
 
@@ -43,42 +43,40 @@ else:
     ##
 
     rule download_slope:
-        message:
-            "Download global slope data."
-        params:
-            url=internal["resources"]["automatic"]["slope"],
         output:
             path="<resources>/automatic/global/slope.tif",
         log:
             "<logs>/download_slope.log",
-        conda:
-            "../envs/shell.yaml"
         localrule: True
+        conda:
+            "../envs/module.yaml"
+        params:
+            url=internal["resources"]["automatic"]["slope"],
+        message:
+            "Download global slope data."
         shell:
             """
             curl -sSLo {output:q} {params.url:q}
             """
 
     rule download_bathymetry:
-        message:
-            "Download global bathymetry data."
-        params:
-            url=internal["resources"]["automatic"]["bathymetry"],
         output:
             path="<resources>/automatic/global/bathymetry.tif",
         log:
             "<logs>/download_bathymetry.log",
-        conda:
-            "../envs/shell.yaml"
         localrule: True
+        conda:
+            "../envs/module.yaml"
+        params:
+            url=internal["resources"]["automatic"]["bathymetry"],
+        message:
+            "Download global bathymetry data."
         shell:
             """
             curl -sSLo {output:q} {params.url:q}
             """
 
     rule clip_slope:
-        message:
-            "Cut slope data to the bounds of the input shapefile."
         input:
             script=workflow.source_path("../scripts/clip_raster.py"),
             shapes="<shapes>",
@@ -88,15 +86,15 @@ else:
         log:
             "<logs>/{shape}/clip_slope.log",
         conda:
-            "../envs/default.yaml"
+            "../envs/module.yaml"
+        message:
+            "Cut slope data to the bounds of the input shapefile."
         shell:
             """
-            python {input.script:q} {input.slope:q} {input.shapes:q} {output:q} 2> {log:q}
+            python {input.script:q} {input.slope:q} {input.shapes:q} {output:q} 2>{log:q}
             """
 
     rule clip_bathymetry:
-        message:
-            "Cut bathymetry data to the bounds of the input shapefile."
         input:
             script=workflow.source_path("../scripts/clip_raster.py"),
             shapes="<shapes>",
@@ -106,10 +104,12 @@ else:
         log:
             "<logs>/{shape}/clip_bathymetry.log",
         conda:
-            "../envs/default.yaml"
+            "../envs/module.yaml"
+        message:
+            "Cut bathymetry data to the bounds of the input shapefile."
         shell:
             """
-            python {input.script:q} {input.bathymetry:q} {input.shapes:q} {output:q} 2> {log:q}
+            python {input.script:q} {input.bathymetry:q} {input.shapes:q} {output:q} 2>{log:q}
             """
 
 
@@ -119,17 +119,17 @@ else:
 
 
 rule download_globcover:
-    message:
-        "Download the GlobCover land cover data (~380 MB)."
-    params:
-        url=internal["resources"]["automatic"]["globcover"],
     output:
         "<resources>/automatic/global/globcover.zip",
     log:
         "<logs>/download_globcover.log",
-    conda:
-        "../envs/shell.yaml"
     localrule: True
+    conda:
+        "../envs/module.yaml"
+    params:
+        url=internal["resources"]["automatic"]["globcover"],
+    message:
+        "Download the GlobCover land cover data (~380 MB)."
     shell:
         """
         curl -sSLo {output:q} {params.url:q}
@@ -137,10 +137,6 @@ rule download_globcover:
 
 
 rule unzip_globcover:
-    message:
-        "Unzip the relevant TIF files from the GlobCover zip file."
-    params:
-        target_file=internal["resources"]["automatic"]["globcover_landcover_tif"],
     input:
         script=workflow.source_path("../scripts/unzip_like.py"),
         zipfile=rules.download_globcover.output,
@@ -149,16 +145,18 @@ rule unzip_globcover:
     log:
         "<logs>/unzip_globcover.log",
     conda:
-        "../envs/shell.yaml"
+        "../envs/module.yaml"
+    params:
+        target_file=internal["resources"]["automatic"]["globcover_landcover_tif"],
+    message:
+        "Unzip the relevant TIF files from the GlobCover zip file."
     shell:
         """
-        python {input.script:q} {input.zipfile:q} -f {params.target_file:q} -o {output:q} 2> {log:q}
+        python {input.script:q} {input.zipfile:q} -f {params.target_file:q} -o {output:q} 2>{log:q}
         """
 
 
 rule clip_landcover:
-    message:
-        "Cut land cover data to the bounds of the input shapefile."
     input:
         script=workflow.source_path("../scripts/clip_raster.py"),
         shapes="<shapes>",
@@ -168,10 +166,12 @@ rule clip_landcover:
     log:
         "<logs>/{shape}/clip_landcover.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/module.yaml"
+    message:
+        "Cut land cover data to the bounds of the input shapefile."
     shell:
         """
-        python {input.script:q} {input.landcover:q} {input.shapes:q} {output:q} 2> {log:q}
+        python {input.script:q} {input.landcover:q} {input.shapes:q} {output:q} 2>{log:q}
         """
 
 
@@ -181,17 +181,17 @@ rule clip_landcover:
 
 
 rule download_ghsl:
-    message:
-        "Download the GHSL (Global Human Settlement Layer) built-up surface data."
-    params:
-        url=internal["resources"]["automatic"]["ghsl"],
     output:
         "<resources>/automatic/global/ghsl_built_s.zip",
     log:
         "<logs>/download_ghsl.log",
-    conda:
-        "../envs/shell.yaml"
     localrule: True
+    conda:
+        "../envs/module.yaml"
+    params:
+        url=internal["resources"]["automatic"]["ghsl"],
+    message:
+        "Download the GHSL (Global Human Settlement Layer) built-up surface data."
     shell:
         """
         curl -sSLo {output:q} {params.url:q}
@@ -199,10 +199,6 @@ rule download_ghsl:
 
 
 rule unzip_ghsl:
-    message:
-        "Unzip the relevant TIF file from the GHSL data."
-    params:
-        target_file=internal["resources"]["automatic"]["ghsl_tif"],
     input:
         script=workflow.source_path("../scripts/unzip_like.py"),
         zipfile=rules.download_ghsl.output,
@@ -211,16 +207,18 @@ rule unzip_ghsl:
     log:
         "<logs>/unzip_ghsl.log",
     conda:
-        "../envs/shell.yaml"
+        "../envs/module.yaml"
+    params:
+        target_file=internal["resources"]["automatic"]["ghsl_tif"],
+    message:
+        "Unzip the relevant TIF file from the GHSL data."
     shell:
         """
-        python {input.script:q} {input.zipfile:q} -f {params.target_file:q} -o {output:q} 2> {log:q}
+        python {input.script:q} {input.zipfile:q} -f {params.target_file:q} -o {output:q} 2>{log:q}
         """
 
 
 rule clip_settlement:
-    message:
-        "Cut settlement data to the bounds of the input shapefile."
     input:
         script=workflow.source_path("../scripts/clip_raster.py"),
         shapes="<shapes>",
@@ -230,10 +228,12 @@ rule clip_settlement:
     log:
         "<logs>/{shape}/clip_settlement.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/module.yaml"
+    message:
+        "Cut settlement data to the bounds of the input shapefile."
     shell:
         """
-        python {input.script:q} {input.settlement:q} {input.shapes:q} {output:q} 2> {log:q}
+        python {input.script:q} {input.settlement:q} {input.shapes:q} {output:q} 2>{log:q}
         """
 
 
@@ -243,8 +243,6 @@ rule clip_settlement:
 
 
 rule rasterise_clip_wdpa:
-    message:
-        "Rasterise and cut WDPA data to the bounds of the input shapefile, using the landcover raster as reference for the rasterisation."
     input:
         script=workflow.source_path("../scripts/clip_and_rasterise_polys.py"),
         shapes="<shapes>",
@@ -255,8 +253,10 @@ rule rasterise_clip_wdpa:
     log:
         "<logs>/{shape}/clip_wdpa.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/module.yaml"
+    message:
+        "Rasterise and cut WDPA data to the bounds of the input shapefile, using the landcover raster as reference for the rasterisation."
     shell:
         """
-        python {input.script:q} {input.shapes:q} {input.reference_raster:q} {input.protected_areas:q} {output:q} 2> {log:q}
+        python {input.script:q} {input.shapes:q} {input.reference_raster:q} {input.protected_areas:q} {output:q} 2>{log:q}
         """
diff --git a/workflow/rules/process.smk b/workflow/rules/process.smk
index 64053b1..7e1f7b1 100644
--- a/workflow/rules/process.smk
+++ b/workflow/rules/process.smk
@@ -1,8 +1,4 @@
 checkpoint breakup_shape:
-    message:
-        "Break up {wildcards.shape} into the configured subunits."
-    params:
-        split_by=config["split_by"],
     input:
         script=workflow.source_path("../scripts/breakup_shape.py"),
         shapes="<shapes>",
@@ -11,20 +7,18 @@ checkpoint breakup_shape:
     log:
         "<logs>/{shape}/breakup_shape.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/module.yaml"
+    params:
+        split_by=config["split_by"],
+    message:
+        "Break up {wildcards.shape} into the configured subunits."
     shell:
         """
-        python {input.script:q} {input.shapes:q} {params.split_by:q} {output:q} 2> {log:q}
+        python {input.script:q} {input.shapes:q} {params.split_by:q} {output:q} 2>{log:q}
         """
 
 
 rule prepare_resampled_inputs:
-    message:
-        "Resample inputs for {wildcards.subunit} in {wildcards.shape} to the projection and resolution of the land cover data, while aggregating land cover types."
-    params:
-        # Use internal defaults if not overridden
-        land_cover_types_yaml_string=internal["land_cover_types"]
-        | config.get("land_cover_types", {}),
     input:
         script=workflow.source_path("../scripts/resample.py"),
         shapes=rules.breakup_shape.output,
@@ -42,26 +36,24 @@ rule prepare_resampled_inputs:
     log:
         "<logs>/{shape}/{subunit}/prepare_resampled_inputs.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/module.yaml"
+    params:
+        # Use internal defaults if not overridden
+        land_cover_types_yaml_string=internal["land_cover_types"]
+        | config.get("land_cover_types", {}),
+    message:
+        "Resample inputs for {wildcards.subunit} in {wildcards.shape} to the projection and resolution of the land cover data, while aggregating land cover types."
     shell:
         """
         python {input.script:q} \
-        "{input.shapes}/{wildcards.subunit}.parquet" \
-        {input.land_cover_path:q} {input.slope_path:q} {input.settlement_path:q} {input.bathymetry_path:q} {input.protected_area_path:q} \
-        {params.land_cover_types_yaml_string:q} \
-        {output.resampled_input:q} {output.plot:q} 2> {log:q}
+            "{input.shapes}/{wildcards.subunit}.parquet" \
+            {input.land_cover_path:q} {input.slope_path:q} {input.settlement_path:q} {input.bathymetry_path:q} {input.protected_area_path:q} \
+            {params.land_cover_types_yaml_string:q} \
+            {output.resampled_input:q} {output.plot:q} 2>{log:q}
         """
 
 
 rule area_potential:
-    message:
-        "Compute area potential for the tech {wildcards.tech} and {wildcards.subunit} in {wildcards.shape}."
-    params:
-        config=lambda wildcards: config["techs"][f"{wildcards.tech}"],
-        subunit_override_config=lambda wildcards: config.get("overrides", {})
-        .get(wildcards.subunit, {})
-        .get(wildcards.tech, {}),
-        buffer_crs=lambda wildcards: config["buffer_crs"],
     input:
         script=workflow.source_path("../scripts/area_potential.py"),
         shapes=rules.breakup_shape.output,
@@ -75,16 +67,22 @@ rule area_potential:
     log:
         "<logs>/{shape}/{subunit}/area_potential_{tech}.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/module.yaml"
+    params:
+        config=lambda wildcards: config["techs"][f"{wildcards.tech}"],
+        subunit_override_config=lambda wildcards: config.get("overrides", {})
+        .get(wildcards.subunit, {})
+        .get(wildcards.tech, {}),
+        buffer_crs=lambda wildcards: config["buffer_crs"],
+    message:
+        "Compute area potential for the tech {wildcards.tech} and {wildcards.subunit} in {wildcards.shape}."
     shell:
         """
-        python {input.script:q} "{input.shapes}/{wildcards.subunit}.parquet" {input.resampled_path:q} {params.config:q} {params.buffer_crs:q} {output.area_potential:q} {output.plot:q} --override_config={params.subunit_override_config:q} 2> {log:q}
+        python {input.script:q} "{input.shapes}/{wildcards.subunit}.parquet" {input.resampled_path:q} {params.config:q} {params.buffer_crs:q} {output.area_potential:q} {output.plot:q} --override_config={params.subunit_override_config:q} 2>{log:q}
         """
 
 
 rule aggregate_area_potential:
-    message:
-        "Aggregate area potential for the tech {wildcards.tech} in {wildcards.shape}."
     input:
         get_subunits,
     output:
@@ -92,7 +90,9 @@ rule aggregate_area_potential:
     log:
         "<logs>/{shape}/aggregate_area_potential_{tech}.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/module.yaml"
+    message:
+        "Aggregate area potential for the tech {wildcards.tech} in {wildcards.shape}."
     shell:
         """
         gdalwarp --config GDAL_CACHEMAX 3000 -wm 3000 -of GTiff -co COMPRESS=LZW {input} {output.aggregated_area_potential:q}
@@ -100,8 +100,6 @@ rule aggregate_area_potential:
 
 
 rule plot_aggregated_area_potential:
-    message:
-        "Plot aggregated area potential for the tech {wildcards.tech} in {wildcards.shape}."
     input:
         rules.aggregate_area_potential.output.aggregated_area_potential,
     output:
@@ -112,14 +110,14 @@ rule plot_aggregated_area_potential:
     log:
         "<logs>/{shape}/plot_aggregated_area_potential_{tech}.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/module.yaml"
+    message:
+        "Plot aggregated area potential for the tech {wildcards.tech} in {wildcards.shape}."
     script:
         "../scripts/tif_to_png.py"
 
 
 rule area_potential_report:
-    message:
-        "Generate an overview report of the area potential for all techs in shapes {wildcards.shape}."
     input:
         shapes="<shapes>",
         area_potentials=expand(
@@ -140,6 +138,8 @@ rule area_potential_report:
     log:
         "<logs>/{shape}/area_potential_report.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/module.yaml"
+    message:
+        "Generate an overview report of the area potential for all techs in shapes {wildcards.shape}."
     script:
         "../scripts/report.py"