chore: update model references to Claude 4.6 and GPT-5.2

- Claude Opus 4.5 → Opus 4.6, Claude Sonnet 4.5 → Sonnet 4.6 (Haiku stays 4.5)
- Update claude-sonnet-4-5 model IDs to claude-sonnet-4-6 in code examples
- Update SWE-bench stat from 80.9% to 80.8% for Opus 4.6
- Update GPT refs: GPT-5 → GPT-5.2, GPT-4o → gpt-5.2, GPT-4o-mini → GPT-5-mini
- Fix GPT-5.2-mini → GPT-5-mini (correct model name per OpenAI)
- Bump marketplace to v1.5.2 and affected plugin versions

plugins/llm-application-dev/skills/prompt-engineering-patterns/SKILL.md

@@ -81,7 +81,7 @@ class SQLQuery(BaseModel):
     tables_used: list[str] = Field(description="List of tables referenced")
 
 # Initialize model with structured output
-llm = ChatAnthropic(model="claude-sonnet-4-5")
+llm = ChatAnthropic(model="claude-sonnet-4-6")
 structured_llm = llm.with_structured_output(SQLQuery)
 
 # Create prompt template
@@ -124,7 +124,7 @@ async def analyze_sentiment(text: str) -> SentimentAnalysis:
     client = Anthropic()
 
     message = client.messages.create(
-        model="claude-sonnet-4-5",
+        model="claude-sonnet-4-6",
         max_tokens=500,
         messages=[{
             "role": "user",
@@ -427,7 +427,7 @@ client = Anthropic()
 
 # Use prompt caching for repeated system prompts
 response = client.messages.create(
-    model="claude-sonnet-4-5",
+    model="claude-sonnet-4-6",
     max_tokens=1000,
     system=[
         {

plugins/llm-application-dev/skills/prompt-engineering-patterns/references/chain-of-thought.md

@@ -68,7 +68,7 @@ def self_consistency_cot(query, n=5, temperature=0.7):
     responses = []
     for _ in range(n):
         response = openai.ChatCompletion.create(
-            model="gpt-5",
+            model="gpt-5.2",
             messages=[{"role": "user", "content": prompt}],
             temperature=temperature
         )