diff --git a/Tutorials/Skimming/derivedBasicConsumer.cxx b/Tutorials/Skimming/derivedBasicConsumer.cxx
index 27734ecd9e9..20cb390b463 100644
--- a/Tutorials/Skimming/derivedBasicConsumer.cxx
+++ b/Tutorials/Skimming/derivedBasicConsumer.cxx
@@ -27,7 +27,7 @@ using namespace o2::framework::expressions;
 
 struct DerivedBasicConsumer {
   SliceCache cache;
-  
+
   /// Function to aid in calculating delta-phi
   /// \param phi1 first phi value
   /// \param phi2 second phi value
@@ -55,7 +55,7 @@ struct DerivedBasicConsumer {
   HistogramRegistry histos{"histos", {}, OutputObjHandlingPolicy::AnalysisObject};
 
   Partition<aod::DerivedTracks> triggerTracks = aod::track::pt > minPtTrig;
-  Partition<aod::DerivedTracks> assocTracks = aod::track::pt > minPtAssoc && aod::track::pt < maxPtAssoc;
+  Partition<aod::DerivedTracks> assocTracks = aod::track::pt > minPtAssoc&& aod::track::pt < maxPtAssoc;
 
   Preslice<aod::Tracks> perCollision = aod::track::collisionId;
 
@@ -64,8 +64,8 @@ struct DerivedBasicConsumer {
     // define axes you want to use
     const AxisSpec axisCounter{1, 0, +1, ""};
     histos.add("eventCounter", "eventCounter", kTH1F, {axisCounter});
-    
-    // for correlation study 
+
+    // for correlation study
     histos.add("etaHistogramTrigger", "etaHistogramTrigger", kTH1F, {axisEta});
     histos.add("etaHistogramAssoc", "etaHistogramAssoc", kTH1F, {axisEta});
     histos.add("phiHistogramTrigger", "phiHistogramTrigger", kTH1F, {axisPhi});
@@ -77,23 +77,23 @@ struct DerivedBasicConsumer {
   {
     histos.fill(HIST("eventCounter"), 0.5);
 
-    //partitions are not grouped by default
+    // partitions are not grouped by default
     auto triggerTracksGrouped = triggerTracks->sliceByCached(aod::exampleTrackSpace::derivedCollisionId, collision.globalIndex(), cache);
     auto assocTracksGrouped = assocTracks->sliceByCached(aod::exampleTrackSpace::derivedCollisionId, collision.globalIndex(), cache);
 
-    //Inspect the trigger and associated populations
-    for (auto& track : triggerTracksGrouped) { //<- only for a subset
+    // Inspect the trigger and associated populations
+    for (auto& track : triggerTracksGrouped) {                         //<- only for a subset
       histos.get<TH1>(HIST("etaHistogramTrigger"))->Fill(track.eta()); //<- this should show the selection
       histos.get<TH1>(HIST("ptHistogramTrigger"))->Fill(track.pt());
     }
-    for (auto& track : assocTracksGrouped) { //<- only for a subset
+    for (auto& track : assocTracksGrouped) {                         //<- only for a subset
       histos.get<TH1>(HIST("etaHistogramAssoc"))->Fill(track.eta()); //<- this should show the selection
       histos.get<TH1>(HIST("ptHistogramAssoc"))->Fill(track.pt());
     }
 
-    //Now we do two-particle correlations, using "combinations"
+    // Now we do two-particle correlations, using "combinations"
     for (auto& [trackTrigger, trackAssoc] : combinations(o2::soa::CombinationsFullIndexPolicy(triggerTracksGrouped, assocTracksGrouped))) {
-      histos.get<TH1>(HIST("correlationFunction"))->Fill( ComputeDeltaPhi(trackTrigger.phi(), trackAssoc.phi() ));
+      histos.get<TH1>(HIST("correlationFunction"))->Fill(ComputeDeltaPhi(trackTrigger.phi(), trackAssoc.phi()));
     }
   }
 };
diff --git a/Tutorials/Skimming/derivedBasicProvider.cxx b/Tutorials/Skimming/derivedBasicProvider.cxx
index 018e00a0876..6e3d5bcc5b8 100644
--- a/Tutorials/Skimming/derivedBasicProvider.cxx
+++ b/Tutorials/Skimming/derivedBasicProvider.cxx
@@ -39,7 +39,7 @@ struct DerivedBasicProvider {
   // Look at primary tracks only
   Filter trackFilter = nabs(aod::track::dcaXY) < 0.2f && nabs(aod::track::eta) < 0.5f && aod::track::pt > minPt;
 
-  //This is an example of a convenient declaration of "using"
+  // This is an example of a convenient declaration of "using"
   using myCompleteTracks = soa::Join<aod::Tracks, aod::TracksExtra, aod::TracksDCA>;
   using myFilteredTracks = soa::Filtered<myCompleteTracks>; // do not forget this!
 
@@ -57,9 +57,10 @@ struct DerivedBasicProvider {
     histos.fill(HIST("eventCounter"), 0.5);
     outputCollisions(collision.posZ());
     for (const auto& track : tracks) {
-      if( track.tpcNClsCrossedRows() < 70 ) continue; //remove badly tracked
+      if (track.tpcNClsCrossedRows() < 70)
+        continue; // remove badly tracked
       histos.get<TH1>(HIST("ptHistogram"))->Fill(track.pt());
-      outputTracks( outputCollisions.lastIndex(), track.pt(), track.eta(), track.phi() ); // all that I need for posterior analysis! 
+      outputTracks(outputCollisions.lastIndex(), track.pt(), track.eta(), track.phi()); // all that I need for posterior analysis!
     }
   }
 };