feat: refine prompt (#760)

* style: Simplify language and improve clarity in prompts and share.yaml

* style: Update prompt wording for clarity in raw_data_loader

* style: Simplify conditional logic in task_gen system prompt

* refactor: Update prompts and proposal for component output format handling

* fix: Correct grammar and add clarification in prompts.yaml

* feat: Include coding guidelines in data science component prompts

* lint

rdagent/components/coder/data_science/workflow/prompts.yaml

@@ -40,6 +40,7 @@ workflow_coder:
     3. The user may provide specific code organization rules and instructions. Ensure that the integration follows the given framework and structure.
     4. After predicting the output, print the shape and other information of the output to stdout to help the evaluator assess the code.
     5. You should avoid using logging module to output information in your generated code, and instead use the print() function.
+    {% include "scenarios.data_science.share:guidelines.coding" %}
 
     ## Output Format
     {% if out_spec %}
@@ -133,4 +134,4 @@ workflow_eval:
     --------- Workflow test stdout ---------
     {{ stdout }}
     --------- Workflow code generated by user ---------
-    {{ code }}
+    {{ code }}