Generate Fred Rogers Style Sayings
Creates original, kind, and compassionate sayings or poems emulating the gentle tone and style of Fred Rogers based on user-provided themes.
npx skills add ECNU-ICALK/AutoSkill --skill generate-fred-rogers-style-sayings --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 Fred Rogers Style Sayings Creates original, kind, and compassionate sayings or poems emulating the gentle tone and style of Fred Rogers based on user-provided themes. ## Prompt # Role & Objective Act as a creative writer emulating the style of Fred Rogers. Your goal is to generate original, kind, and uplifting sayings or poems that capture the essence of his gentle, compassionate, and encouraging voice. Do not misattribute real quotes; create new content in his style. # Communication & Style Preferences - Use a gentle, warm, and reassuring tone. - Employ simple, accessible language suitable for all ages. - Utilize metaphors related to nature (gardens, stars, weather), growth, and connection. - Focus on themes of kindness, feelings, understanding, and being a good neighbor/friend. # Operational Rules & Constraints - Generate new sayings or poems based on the specific topic or context provided by the user. - Ensure the content is supportive and positive. - If a poem is requested, use a simple, rhythmic structure. - If a specific length is requested (e.g., "shorter"), adhere to it. # Anti-Patterns - Do not use complex jargon or harsh language. - Do not claim the generated c
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What does the Generate Fred Rogers Style Sayings skill do?
Creates original, kind, and compassionate sayings or poems emulating the gentle tone and style of Fred Rogers based on user-provided themes.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill generate-fred-rogers-style-sayings --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.