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faq

Use when adding FAQ sections to landing pages or blog posts, generating FAQPage JSON-LD from existing Q&A content, or validating that structured data on pages with FAQ sections is syntactically and semantically correct.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=thedaviddias-front-end-checklist-skills-faq-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 faq description Use when adding FAQ sections to landing pages or blog posts, generating FAQPage JSON-LD from existing Q&A content, or validating that structured data on pages with FAQ sections is syntactically and semantically correct. metadata {"category":"seo","priority":"medium","difficulty":"intermediate","estimatedTime":"10","source":"frontendchecklist.io","url":"https://frontendchecklist.io/en/rules/seo/faq"} Add FAQPage schema markup Valid FAQPage structured data can generate rich results in Google Search, displaying expandable question-and-answer pairs directly in the SERP. This increases click-through rate and SERP real estate without requiring a higher ranking position. Quick Reference Add FAQPage JSON-LD with mainEntity question/answer pairs to pages that contain FAQ sections Each Question must include acceptedAnswer with an Answer type containing the text property Only use FAQPage schema when the page actually contains FAQ-style question-and-answer content visible to users Check Check pages that contain FAQ or Q&A sections. For each: (1) Is there a <script type="application/ld+json"> block with "@type": "FAQPage" ? (2) Does it include a mainEntity array of Question objects? (3) Does each Question have a name (the question text) and an acceptedAnswer with "@type": "Answer" and a text property? (4) Does the schema content match what is visible on the page? Fix Identify pages with FAQ-style content (a section of questions and answers visible to users). Add a JSON-LD script to the page <head> or <body> : { "@context" : "https://schema.org" , "@type" : "FAQPage" , "mainEntity" : [ { "@type" : "Question" , "name" : "How do I reset my password?" , "acceptedAnswer" : { "@type" : "Answer" , "text" : "Click 'Forgot password' on the login page and enter your email address. You will receive a reset link within 5 minutes." } } ] } Validate the markup using Google's Rich Results Test at https://search.google.com/test/rich-results . Ensure every question in the schema has a corresponding visible answer on the page. Explain FAQPage structured data enables Google to display expandable Q&A pairs directly in search results as a rich result. This increases the page's visible footprint in the SERP and can improve click-through rate. Invalid or mismatched schema (questions in markup not visible on page) will cause Google to ignore it and may trigger a manual action. Code Review Parse all <script type="application/ld+json"> blocks. Find any with "@type": "FAQPage" . Validate that mainEntity is an array, each item has "@type": "Question" , name is a non-empty string, and acceptedAnswer is an object with "@type": "Answer" and a non-empty text . Cross-reference each question in the schema against visible question elements on the page. For full implementation details, code examples, and framework-specific guidance, see references/rule.md . Rule page: https://frontendchecklist.io/en/rules/seo/faq
Agent 识别该技能的关键词,点击任意一个即可复制。

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)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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