GitHub
baoyu-cover-image
Generate elegant cover images for articles. Analyzes content and creates eye-catching hand-drawn style cover images with multiple style options. Use when user asks to "generate cover image", "create article cov...
feixeyes AI Skills
GitHub ↗Explorez les skills IA publiés de feixeyes et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
10Étoiles des dépôts des skills indexés
10Forks du dépôt
0Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
baoyu-xhs-images
Xiaohongshu (Little Red Book) infographic series generator with multiple style options. Breaks down content into 1-10 cartoon-style infographics. Use when user asks to create "小红书图片", "XHS images", or "Red...
GitHub
outline-first
Create and confirm article outlines before any drafting in the AI 实践记录 workflow.
GitHub
publish-pac
Prepare a publication package from a polished draft in the AI 实践记录 workflow.
GitHub
write-article
End-to-end workflow for writing an article in the Real World AI Log project, focusing on practice-first, workflow-first collaboration.
GitHub
draft-write
Produce a first draft from an approved outline in the AI 实践记录 workflow.
GitHub
baoyu-article-illustrator
Smart article illustration skill. Analyzes article content and generates illustrations at positions requiring visual aids with multiple style options. Use when user asks to "add illustrations to article", "gene...
GitHub
polish-style
Refine tone and readability of approved drafts in the AI 实践记录 workflow.
GitHub
baoyu-comic
Knowledge comic creator supporting multiple styles (Logicomix/Ligne Claire, Ohmsha manga guide). Creates original educational comics with detailed panel layouts and sequential image generation. Use when user as...
GitHub
baoyu-post-to-x
Post content and articles to X (Twitter). Supports regular posts with images and X Articles (long-form Markdown). Uses real Chrome with CDP to bypass anti-automation.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.