Fix formatting for skeleton lessons.

19-turbo.md

@@ -11,14 +11,15 @@ minutes: 30
 > * Learn how to make new candidates from turbo candidate and other persisted objects
 > * Learn how to make an NTuple from these new candidates.
 
-Online-offline reco the same
-Online reconstructed candidates stored in raw event
-Tesla pulls them out puts them back in the memory
+ * Online-offline reco the same
+ * Online reconstructed candidates stored in raw event
+ * Tesla pulls them out puts them back in the memory
 
-The file used in the [lesson about the HLT ](05-hlt-intro.html) can also be
-used for this lesson: `root://eoslhcb.cern.ch//eos/lhcb/user/r/raaij/Impactkit/00051318_00000509_1.turbo.mdst`.
+| The file used in the [lesson about the HLT ](18-hlt-intro.html) can also be used for this lesson:
+| `root://eoslhcb.cern.ch//eos/lhcb/user/r/raaij/Impactkit/00051318_00000509_1.turbo.mdst`.
 
 Python file that defines the data:
+
 ~~~ {.python}
 # data.py
 from GaudiConf import IOHelper
@@ -28,6 +29,7 @@ IOHelper('ROOT').inputFiles([prefix + fname], clear=True)
 ~~~
 
 Basic script for making a turbo NTuple `turbo_intro.py`
+
 ~~~ {.python}
 # DaVinci configuration
 from Configurables import DaVinci
@@ -56,5 +58,5 @@ DaVinci().UserAlgorithms = [dtt]
 Then we run it!
 
 ```shell
-lb-run DaVinci gaudirun.py turbo_persistreco.py data.py
+lb-run DaVinci gaudirun.py turbo_intro.py data.py
 ```

20-persist-reco.md

@@ -15,10 +15,11 @@ Now we want to use the PersistReco to make something more from the candidates,
 in this case a D* -> (D0 -> K pi) pi.
 
 Create a new script, `turbo_persistreco.py`, based on `turbo_intro.py` from the
-previous lesson to contain your configuration.
+[lesson about turbo ](19-turbo.html) to contain your configuration.
 
 There are some general options needed to configure DaVinci to recreate the
 particles created in the HLT.
+
 ~~~ {.python}
 # Turbo with PersistReco
 from Configurables import DstConf, TurboConf
@@ -31,8 +32,10 @@ them.
 
 > ## Persisted Particles {.challenge}
 >
-> Use a GaudiPython script to find out which particles are persisted from the
-> online reconstruction.
+> Use a GaudiPython script inspired by
+> [another lesson](http://lhcb.github.io/first-analysis-steps/05-interactive-dst.html)
+> to find out which particles are persisted from the
+> online reconstruction by exploring the transient event store.
 
 ~~~ {.python}
 # Get the D0 and the pions
@@ -50,6 +53,7 @@ dst = CombineParticles(
 ~~~
 
 To run our combination, we create a selection and a selection sequence.
+
 ~~~ {.python}
 dst_sel = Selection(
     'Sel_DstToD0pi',