byjianshuo· 34 skills
Use when 王建硕 wants to systematically improve his X (Twitter) content by iterating on the content-generation prompt (prompts/x/prompt.md, used by the every-6h tweet Action) and finding which prompt version produces the highest-reach tweets. Each prompt edit is a git-SHA-versioned, numbered experiment with a hypothesis; tweets are attributed to the version live at post time and judged on median impressions per tweet. Also mines per-tweet impression data for content-feature signals (angle / length / topic) that feed the next prompt edit. North-star = impressions per tweet. Triggers — "改 X 的 prompt", "X 内容改进", "哪版 prompt 最好", "什么内容 impression 高", "improve my tweets", "A/B test the X prompt", "/wjs-x-improving-content".
$npx -y skills add jianshuo/claude-skills --skill wjs-x-improving-contentInstalls into the current project.
Run `npx skills use "https://github.com/jianshuo/claude-skills" --skill "jianshuo/claude-skills/wjs-x-improving-content"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/jianshuo/claude-skills" that are relevant to the current task. Run `npx skills add "https://github.com/jianshuo/claude-skills"` and select the relevant skills, then follow their instructions.