Imported from v2camp/v2creator-skills (skills/sc-content-mining/SKILL.md). Install upstream with npx skills add v2camp/v2creator-skills --skill sc-content-mining. Copyright stays with the author.

内容挖掘：认知错位提取 + 选题推荐

Name: sc-content-mining
Author: v2camp

从任意内容源中挖掘适合社交媒体传播的选题。

Usage

All commands use ./sc-run sc-content-mining <script>.

# 从内容源挖掘选题
./sc-run sc-content-mining mine --source article.md

# 指定目标平台
./sc-run sc-content-mining mine --source article.md --platform xhs

Intents

选题挖掘：从内容源提取认知错位模式，生成传播力选题
方向对齐：脑暴确认目标平台、受众、调性、范围
形式推荐：为每个选题推荐最佳呈现形式

三阶段流程

Brainstorm（脑暴确认方向）：对齐目标平台、受众、调性、范围
Mine（扫描挖掘）：扫描内容源，提取"认知错位"模式
Recommend（呈现形式建议）：为每个选题推荐呈现形式

支持的内容源：课程纪要、博客文章、播客字幕、读书笔记、会议记录、客户访谈

Progressive Disclosure

For detailed mining frameworks and format recommendations, see:

references/mining-framework.md - 挖掘框架、认知错位模式、传播力评分方法
references/format-recommendations.md - 呈现形式推荐、效果描述、适用场景

{ "ocm": "1", "id": "v2camp-v2creator-skills-sc-content-mining", "kind": "skill", "name": "sc-content-mining", "description": "从任意内容源（课程纪要、博客、播客字幕、读书笔记等）中挖掘有传播力的内容选题。先脑暴确认挖掘方向，再扫描内容提取\"认知错位\"模式，最后给出选题清单+呈现形式建议。Use when user asks to \"挖选题\", \"找内容\", \"内容挖掘\", \"mine content\", \"scan for topics\", or wants to turn content into social media content.", "publisher": "v2camp", "version": "1.0.0", "capabilities": { "domains": [ "marketing" ], "tags": [ "skill-md", "github" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "从任意内容源（课程纪要、博客、播客字幕、读书笔记等）中挖掘有传播力的内容选题。先脑暴确认挖掘方向，再扫描内容提取\"认知错位\"模式，最后给出选题清单+呈现形式建议。Use when user asks to \"挖选题\", \"找内容\", \"内容挖掘\", \"mine content\", \"scan for topics\", or wants to turn content into social media content." ], "primary": false, "metadata": { "source": { "provider": "github", "repository": "https://github.com/v2camp/v2creator-skills", "path": "skills/sc-content-mining/SKILL.md", "ref": "af68abaae3903362cfbe0f53fcee60187350400b", "url": "https://github.com/v2camp/v2creator-skills/blob/af68abaae3903362cfbe0f53fcee60187350400b/skills/sc-content-mining/SKILL.md", "key": "v2camp/v2creator-skills/skills/sc-content-mining/SKILL.md" } }, "instructions": "# 内容挖掘：认知错位提取 + 选题推荐\n\n从任意内容源中挖掘适合社交媒体传播的选题。\n\n## Usage\n\nAll commands use `./sc-run sc-content-mining <script>`.\n\n```bash\n# 从内容源挖掘选题\n./sc-run sc-content-mining mine --source article.md\n\n# 指定目标平台\n./sc-run sc-content-mining mine --source article.md --platform xhs\n```\n\n## Intents\n\n- **选题挖掘**：从内容源提取认知错位模式，生成传播力选题\n- **方向对齐**：脑暴确认目标平台、受众、调性、范围\n- **形式推荐**：为每个选题推荐最佳呈现形式\n\n## 三阶段流程\n\n1. **Brainstorm（脑暴确认方向）**：对齐目标平台、受众、调性、范围\n2. **Mine（扫描挖掘）**：扫描内容源，提取\"认知错位\"模式\n3. **Recommend（呈现形式建议）**：为每个选题推荐呈现形式\n\n支持的内容源：课程纪要、博客文章、播客字幕、读书笔记、会议记录、客户访谈\n\n## Progressive Disclosure\n\nFor detailed mining frameworks and format reco", "cost": { "context_tokens": 203 } }

sc-content-mining

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内容挖掘：认知错位提取 + 选题推荐

Usage

Intents

三阶段流程

Progressive Disclosure

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