reading-level
Use when reviewing content pages for user experience and SEO. Applies to blog posts, landing pages, how-to guides, and any long-form content intended for a broad audience.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=thedaviddias-front-end-checklist-skills-reading-level-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name reading-level description Use when reviewing content pages for user experience and SEO. Applies to blog posts, landing pages, how-to guides, and any long-form content intended for a broad audience. metadata {"category":"seo","priority":"medium","difficulty":"intermediate","estimatedTime":"15","source":"frontendchecklist.io","url":"https://frontendchecklist.io/en/rules/seo/reading-level"} Write at a clear reading level Content written beyond the reading level of the target audience increases bounce rates and reduces time-on-page—both engagement signals that correlate with search rankings. Quick Reference Target a Flesch Reading Ease score of 60–70 for general audiences (Grade 8–10) Use short sentences (15–20 words average) and common vocabulary Passive voice, jargon, and long paragraphs reduce readability Simple writing increases dwell time and reduces bounce rate Check Analyse this page's content for readability. Calculate or estimate the Flesch-Kincaid Grade Level. Identify sentences longer than 25 words, paragraphs longer than 4 sentences, instances of passive voice, and domain jargon that could be simplified. Report the estimated reading grade level. Fix Simplify the identified sentences and paragraphs: break long sentences at conjunctions, replace passive voice with active voice, substitute jargon with plain-language equivalents. Target a Flesch Reading Ease score of 60+ (Grade 8 or below for general audiences). Use subheadings to break up text every 200–300 words. Explain Readability measures how easy content is to understand. When content is written above the typical reading level of the audience, users leave faster (higher bounce rate) and spend less time reading (lower dwell time). These engagement signals influence search rankings indirectly. Clear writing also improves conversion rates and user satisfaction. Code Review Extract the text content from the page body (excluding navigation, headers, footers). Calculate or estimate the Flesch-Kincaid Grade Level. Count: sentences longer than 25 words, paragraphs with more than 4 sentences, passive voice instances, and words with more than 3 syllables that could be simplified. Report the grade level and top 5 most complex sentences. For full implementation details, code examples, and framework-specific guidance, see references/rule.md . Rule page: https://frontendchecklist.io/en/rules/seo/reading-level
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该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |