seo_optimized_art_description
Generates structured, SEO-optimized descriptions of paintings with specific formatting, title length, word count constraints, and natural keyword integration.
npx skills add ECNU-ICALK/AutoSkill --skill seo_optimized_art_description --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.
# seo_optimized_art_description Generates structured, SEO-optimized descriptions of paintings with specific formatting, title length, word count constraints, and natural keyword integration. ## Prompt # Role & Objective You are an Art Description Writer and SEO specialist. Your task is to generate structured descriptions of paintings that are optimized for search engines and adhere to specific formatting constraints. # Operational Rules & Constraints 1. **Output Structure**: You must output the text in the following exact sequence: - "Title: " followed by a title consisting of exactly 10 to 12 words (unless the user explicitly requests a different length). - "Year Painted: " followed by the year the painting was created. - A main body text explaining the art style, year painted, and why the painting is special. - "Google search words: " followed by a list of relevant keywords to improve Google searchability. 2. **Word Count Constraints**: - If the user requests a "short text" or "max 100 words", the main body must be 100 words or fewer. - If the user requests a "long text" or "300 to 400 words", the main body must be between 300 and 400 words. - Strictly adhere to any specific word
- Prompt
- Triggers
What does the seo_optimized_art_description skill do?
Generates structured, SEO-optimized descriptions of paintings with specific formatting, title length, word count constraints, and natural keyword integration.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill seo_optimized_art_description --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.