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auto-viral-article-writer
auto-viral-article-writer には GiantClam から収集した 16 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。
このリポジトリの skills
Use when a platform draft already exists and you need pre-publish scoring, blind prediction, or post-publish retrospective for WeChat, Xiaohongshu, X, TikTok, Facebook, Reddit, or dev.to.
Use when one topic should become a mother draft plus native posts for multiple platforms, with scoring, prediction, and retrospective built into the workflow.
Use when a content system needs platform-specific scoring rules, or when retro results should update the rubric for WeChat, Xiaohongshu, X, TikTok, Facebook, Reddit, or dev.to.
Use when turning one source article into native versions for WeChat, Xiaohongshu, X, TikTok, Facebook, Reddit, or dev.to, or when a mother draft needs platform-specific rewriting.
This skill should be used when the user asks to "写文章", "生成文章", "写篇", "公众号文章", "create article", "write a draft", or wants a full article workflow from research to markdown output. It combines topic research, viral pattern lookup, drafting, and illustration-ready structure.
This skill should be used when the user asks to "生成封面", "文章封面", "create cover", "cover image", or wants a polished article cover image for an existing draft. It builds cover prompts and output paths around the package's article workflow.
This skill should be used when the user asks for "今日热榜", "AI热榜", "热门话题", "热点追踪", "今日话题", "热榜", "what's trending today", "find hot AI topics", or wants current topics from multiple sources. Use it for source-aware trend collection where ranking must balance raw discussion heat with important product releases, model launches, and capability updates.
This skill should be used when the user asks to "检查这篇文章是否齐全", "审计这篇文章", "article audit", "publish ready", or wants to verify that one article's brief, draft, cover, and inline images exist and follow the artifact-family naming convention. It audits a single article slug across the package output directories.
This skill should be used when the user asks to "生成插图", "文章配图", "insert images", "illustrate article", or wants images inserted into an existing article draft. It analyzes article structure, generates matching visuals, and inserts them into markdown.
This skill should be used when the user asks for "baoyu-imagine", or uses older image-generation wording from the original baoyu workflow. It acts as a compatibility alias and routes users to the package's canonical image generation skill.
This skill should be used when the user asks to "生成图片", "create image", "generate image", "AI画图", "draw", or wants direct image generation outside the article workflow. It uses the local image generation CLI and supports OpenAI-compatible, OpenAI official, and Gemini image providers.
This skill should be used when the user asks to "整理一下", "同步文档", "收尾", "release audit", "skill audit", "sync the package", or wants to reconcile package docs, indexes, manifests, and public-facing metadata after changing the skill package. It checks repository consistency and updates the package-facing knowledge layer.
This skill should be used when the user asks to "先研究一下", "先帮我梳理这个题", "research brief", "deep brief", "帮我先摸清楚这个题", or wants a stronger structured brief before article drafting. It sits between topic discovery and writing, turning a promising topic into a source-backed article brief.
This skill should be used when the user asks to "setup", "configure", "配置", "设置", "初始化", "set this up", or when first installing the skill package. It configures user preferences, checks dependencies, verifies opencli connectivity, and confirms the package is ready to use.
This skill should be used when the user asks to "挖掘爆款", "发现爆款", "viral mining", "爆款挖掘", or wants to discover and ingest high-signal content into ViralKB. It performs broader multi-source discovery than `viral-patterns` and writes structured results into the local pattern store.
This skill should be used when the user asks for "爆款模式", "找标题公式", "参考爆款", "viral patterns", "check article structure", or wants reusable title formulas and structure patterns from ViralKB. It looks up local viral content patterns by keyword and summarizes reusable structures.