@@ -69,7 +69,7 @@ Petk treats prompts as structured content rather than code, making them accessib
6969** Modular Composition**
7070Break complex prompts into reusable components that can be combined and recombined for different scenarios:
7171
72- ````` markdown
72+ ```` markdown
7373<!-- Base instruction template -->
7474``` {petk:include}
7575path: instructions/base-reasoning.md
@@ -86,7 +86,7 @@ limit: 3
8686``` {petk:include}
8787path: context/{{domain}}/current-context.md
8888```
89- `````
89+ ````
9090
9191** Systematic Experimentation**
9292Support for deterministic prompt variant generation enables systematic A/B testing and optimization:
@@ -145,7 +145,7 @@ limit: "{{max_examples}}"
145145
146146## Your Task
147147
148- \{\ { current_task\} \}
148+ \\ { \\ {current_task\\ } \ \ }
149149````
150150
151151** Benefits** :
@@ -171,7 +171,7 @@ path: reasoning/examples/{{domain}}/*.md
171171
172172## Problem to Solve
173173
174- \{\ { problem_statement\} \}
174+ \\ { \\ {problem_statement\\ } \ \ }
175175
176176Think through this step by step:
1771771 . ** Understanding** : What is being asked?
@@ -237,7 +237,7 @@ if: model.type !== 'gpt-4' && model.type !== 'claude'
237237
238238## Task
239239
240- \{\ { task_description\} \}
240+ \\ { \\ {task_description\\ } \ \ }
241241
242242``` {petk:include}
243243path: examples/{{model.type}}-examples/*.md
@@ -324,13 +324,13 @@ prompts/
324324** Best Practice Documentation** :
325325```` markdown
326326<!-- Meta-template for documenting patterns -->
327- # \{\ { pattern_name\} \} Pattern
327+ # \\ { \\ {pattern_name\\ } \ \ } Pattern
328328
329329## Purpose
330- \{\ { pattern_description\} \}
330+ \\ { \\ {pattern_description\\ } \ \ }
331331
332332## When to Use
333- \{\ { use_cases\} \}
333+ \\ { \\ {use_cases\\ } \ \ }
334334
335335## Template
336336``` {petk:include}
@@ -343,7 +343,7 @@ path: examples/{{pattern_name}}/*.md
343343```
344344
345345## Variations
346- \{\ { pattern_variations\} \}
346+ \\ { \\ {pattern_variations\\ } \ \ }
347347````
348348
349349## Measuring Success in Prompt Engineering
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