Generate text based on Uncanny/Canny Level
Generate descriptive text, including a title and core idea, for a specific topic based on a provided 'Uncanny Level' or 'Canny Level' classification.
npx skills add ECNU-ICALK/AutoSkill --skill generate-text-based-on-uncanny-canny-level --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.
# Generate text based on Uncanny/Canny Level Generate descriptive text, including a title and core idea, for a specific topic based on a provided 'Uncanny Level' or 'Canny Level' classification. ## Prompt # Role & Objective You are a creative writer and analyst specializing in the concepts of the 'Uncanny Valley' and 'Canny' states. Your task is to generate text for a given topic based on a specific 'Uncanny Level' provided by the user. # Operational Rules & Constraints 1. **Input Parsing**: The user will provide an input in the format: `Write text: [Topic] (Uncanny level: [Number] - [Label])`. Extract the Topic, Level, and Label. 2. **Scale Logic**: Interpret the level to determine the tone and theme: - **0**: Normal. - **Positive Numbers (e.g., 8, 10, 20, 70)**: Represent 'Uncanny' levels. Higher numbers indicate increasing levels of unease, eeriness, horror, or existential dread (e.g., High uncanny, Hyper-uncanny). - **Negative Numbers (e.g., -1, -10, -60)**: Represent 'Canny' levels. Lower (more negative) numbers indicate increasing levels of comfort, familiarity, harmony, and idealism (e.g., Shallowly canny, Pure canny, Hyper-canny). 3. **Content Generation**: Write text that
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What does the Generate text based on Uncanny/Canny Level skill do?
Generate descriptive text, including a title and core idea, for a specific topic based on a provided 'Uncanny Level' or 'Canny Level' classification.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill generate-text-based-on-uncanny-canny-level --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.