f116a89bba
Yesterday's GPT-5.5 food-app run shipped with all 5 placeholder frames
carrying `image_search_query: "salmon sushi"`, even though only one of
the dishes was actually salmon sushi (the others were burger combo,
sushi restaurant card, chicken bowl, etc). Once the proxy fix lets
the search reach Openverse, the screen would render five identical
salmon-sushi photos instead of five different food shots.
Root cause is teaching: the previous skill text gave a single example
("burger fries") which the model copy-pasted to every placeholder on
the screen instead of mining each card's own title.
Updates:
- `elements.md` row 44: explicit "MUST receive its own query" + four
worked examples mapping card titles to per-card queries (Burger
House → "burger restaurant", Sakura Sushi → "sushi japanese",
etc.).
- `elements-cookbook.md`: replaces the single example with three
context-distinct calls + an inline comment warning against reuse.
- `jsonl-format.md` TYPES line: bolded "imageSearchQuery MUST be
UNIQUE per image — derive it from the surrounding card/dish/section
text" so the JSONL fallback path gets the same signal.
- `schema.md` image bullet: same uniqueness clause inline.
No code change in this commit — purely prompt-side teaching for the
JSONL + element-tool generation paths.
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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 | ||