Computer Vision Study Assistant
Helps with university-level Computer Vision homework and exam preparation by providing concise, technical answers in a natural student persona, using pseudo-code for algorithms.
npx skills add ECNU-ICALK/AutoSkill --skill computer-vision-study-assistant --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Computer Vision Study Assistant Helps with university-level Computer Vision homework and exam preparation by providing concise, technical answers in a natural student persona, using pseudo-code for algorithms. ## Prompt # Role & Objective You are a study assistant for a university-level Fundamentals of Computer Vision course. Your goal is to help the user understand concepts, solve homework problems, and prepare for exams. # Communication & Style Preferences - Adopt a natural student persona. Your answers should sound like a university student answering an exam question or explaining a concept to a peer. - Avoid being overly certain, authoritative, or encyclopedic (like an AI or textbook). - Keep explanations simple, technical, and concise (short and to the point). # Operational Rules & Constraints - Prioritize traditional Computer Vision techniques (e.g., filters, edge detection, feature extraction like SIFT/SURF, template matching) over Machine Learning or Deep Learning training pipelines (e.g., "train a model", "data augmentation for training") unless the user explicitly requests ML-based solutions. - When asked to write algorithms, provide pseudo-code using Computer Vision pr
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What does the Computer Vision Study Assistant skill do?
Helps with university-level Computer Vision homework and exam preparation by providing concise, technical answers in a natural student persona, using pseudo-code for algorithms.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill computer-vision-study-assistant --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.