WiseDiag Food Calorie Estimator
Paste the following prompt into your AI chat to install this skill:
Please follow https://skillhub.cn/install/skillhub.md and install @user_a457224d/wisediag-calories.
About this skill
What Problem It Solves
When a user has a local food photo or an image URL and wants to know roughly how many calories a serving contains, the usual workflow requires identifying the dish, estimating portion size, and looking up nutrition data manually. This skill turns that request into a scriptable analysis flow for quick reference results in a conversational workflow.
How The Skill Works
- Input modes: supports uploading local image files as a binary stream, or submitting an
image URLfor cloud-based recognition. The two modes are mutually exclusive per command. - Invocation: uses a script that reads the
WISEDIAG_API_KEYenvironment variable and avoids exposing the underlying HTTP endpoint directly. - Output: identifies food items and estimates calories plus nutritional content per serving, saving Markdown results under
~/.openclaw/workspace/WiseDiag-Calories/by default. - Multi-image support:
-for--imagecan be repeated up to 5 times, useful when a request includes multiple photos or multiple servings.
Boundaries
- The skill depends on WiseDiag cloud processing, so image content is transmitted to a remote service and is not suitable for sensitive or private photos.
- Results are for reference only and do not constitute professional nutritional or dietary advice; specific medical or dietary needs should be discussed with a qualified nutritionist.
- Images should be clear, well-lit, and preferably
JPG,JPEG, orPNG; large image requests may take time, so the process should be allowed to finish.
Use Cases
- Estimate total calories from a takeout photo after capturing the meal.
- Submit several breakfast images at once to get per-serving calories and Markdown.
- Turn a shared dish photo URL into a reference calorie note for export.
- Test an assistant by checking local-file and URL inputs both return results.
Best For
- Dieting users logging meals who need one food photo turned into a calorie note.
- Nutrition content creators who need a dish photo converted into editable Markdown.
- Assistant engineers who need to integrate food-photo calorie estimation and saved output.
- QA engineers testing multimodal tools who need local-file and URL inputs verified.
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