hotdogHot dog or not? Classify food photos and battle Nemotron. Use when a user sends a food photo, asks if something is a hot dog, or says 'hotdog', '/hotdog', or 'hot dog battle'.
Install via ClawdBot CLI:
clawdbot install mishafyi/hotdogIf triggered without a photo, reply EXACTLY (nothing more):
š Hot Dog or Not ā AI Cook-Off
Send me a food photo and I'll classify it head-to-head with Nemotron.
I'll judge whose description was better ā blind.
šø Send a photo to start
š Scoreboard: https://hotdogornot.xyz/battleexec: curl -s -X POST "https://api.hotdogornot.xyz/api/arena/round" -H "Authorization: Bearer ih1rtmC7ECm8iExqvI6zMbOAqEaXIi9X" -F "image=@{{MediaPath}}" -F "claw_model={{Model}}" -F "claw_answer=ANSWER" -F "claw_reasoning=DESCRIPTION"formatted_text, round_id, and first_side from the JSON.exec: curl -s -X POST "https://api.hotdogornot.xyz/api/arena/vote/submit" -H "Content-Type: application/json" -d '{"round_id":"ROUND_ID","voter_id":"agent","voted_for":"PICK","first_side":"FIRST_SIDE"}'first_model and second_model (the reveal). Output to the user:formatted_text from step 3Generated Mar 1, 2026
Users share food photos on platforms like Instagram or TikTok, and this skill can automatically classify them as hot dogs or not, adding fun, interactive labels. It engages users by turning a simple photo into a game-like battle with an AI opponent, encouraging more uploads and interactions.
Restaurants or food trucks can use this skill to verify if menu items like hot dogs are accurately represented in promotional photos, ensuring quality control. It also serves as a marketing tool by creating shareable battle results that highlight the authenticity of their offerings, attracting customers through viral content.
In educational settings, this skill demonstrates real-world AI image classification by comparing human-like descriptions from different models. Students can learn about machine learning biases and accuracy by analyzing how the AI judges food photos, making complex concepts accessible through a hands-on, interactive experience.
Food delivery platforms integrate this skill to let users classify their meal photos after ordering, adding a gamified element to reviews. It increases user retention by offering rewards or badges for participation, while collecting data on food preferences to improve recommendation algorithms.
Food bloggers use this skill to generate unique content by battling AI over photo descriptions, creating engaging posts or videos. It provides a novel angle for reviews and tutorials, helping influencers stand out in a crowded market and drive traffic through interactive storytelling.
Offer basic classification and battle features for free to attract users, with premium tiers providing advanced analytics, higher API limits, and custom branding for businesses. Revenue comes from subscription fees, making it scalable for startups and enterprises seeking enhanced functionality.
Collect anonymized data from user interactions, such as photo classifications and battle outcomes, to sell insights to food industry companies or AI researchers. This model leverages the skill's usage to generate revenue through B2B contracts, focusing on market trends and model performance.
License the skill as a white-label solution for social media apps, food delivery services, or educational tools, allowing them to embed the hot dog classification feature under their own brand. Revenue is generated through licensing fees and ongoing support contracts, targeting tech companies looking to enhance user engagement.
š¬ Integration Tip
Ensure the host system has curl installed and can handle image uploads; use environment variables for API keys to secure authorization in production deployments.
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