319d6fab60
The food-app live doc had two unfilled placeholders because the model
emitted 3-keyword queries that Openverse returned zero results for
("burger combo fries", "sakura sushi platter"). The 2-keyword forms
have plenty of matches (240 each).
The previous skill text said "2-3 English keywords" which the model
read as "3 is fine"; concrete examples like `image_search_query:
"burger fries combo"` reinforced the 3-word habit. Updated to:
- "Strongly prefer 2 keywords; never more than 3"
- Explanation of WHY (strict AND-search, concrete zero-result vs hit
comparisons for "burger fries" / "sushi platter")
- Rule for the 3rd keyword: only when it's a strong common-phrase
noun ("iced latte" yes, "iced latte coffee" no)
- All worked examples in elements.md row 44 updated to 2 keywords
("burger fries", "sushi platter", "chicken bowl")
The server-side fallback (commit 93e5847f) catches 3-keyword
zero-results by retrying with 2 words, so this is a quality nudge
on top of a working safety net — fewer retries means tighter
relevance and faster fill.
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| agent-native@e1f90cab96 | ||
| pen-acp | ||
| pen-ai-skills | ||
| pen-core | ||
| pen-engine | ||
| pen-figma | ||
| pen-mcp | ||
| pen-react | ||
| pen-renderer | ||
| pen-sdk | ||
| pen-types | ||
| CLAUDE.md | ||