Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问许可证需确认审计通过

featured-snippet特色片段

Agent Skill

featured-snippet 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

12,042

周安装

512

GitHub Stars

409

下载量

4,219
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:featured-snippet(特色片段)
来源仓库:https://github.com/kostja94/marketing-skills
仓库路径:skills/featured-snippet
安装命令:
npx skills add https://github.com/kostja94/marketing-skills --skill featured-snippet
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/kostja94/marketing-skills --skill featured-snippet

简介

特色片段技能用于查找、检索和筛选相关信息。featured-snippet 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合根据关键词或任务场景快速定位候选结果。
  • 可结合来源仓库和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围和维护状态,避免触发不必要的网络请求。
  • 注意区分本地环境与生产环境的差异,防止误操作。

SKILL.md

SEO On-Page: Featured Snippet

Guides optimization for Featured Snippets (Position Zero)—direct answers displayed above organic results. Featured snippets appear on ~19% of queries; by 2025, AI Overviews replaced many, but snippet optimization still supports AI citation and PAA. See serp-features for full SERP context.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Scope

  • Featured Snippet formats: Paragraph, list, table
  • Content structure: Answer-first, H2/H3, semantic HTML
  • Query targeting: How, what, why; positions 2–5 opportunity
  • AI Overviews: Layered content for both snippets and AI citation

Current Landscape (2025–2026)

  • Featured snippets appear on ~19% of search queries
  • AI Overviews replaced 83%+ of featured snippets in many regions; appear in ~47% of US searches
  • When AI Overviews show, 83% of searches may end without clicks (zero-click)—goal shifts to citation as well as CTR. Featured Snippets also cause zero-click when the answer suffices. See serp-features for zero-click by feature.
  • Position zero still captures ~35% of clicks when snippets appear; pages with snippets see ~8% higher organic CTR
  • Optimize for both traditional snippets and AI Overviews

Featured Snippet vs AI Overview

Not the same. Featured snippets pull a direct passage from a single webpage. AI Overviews generate multi-source summaries using AI. When both appear, featured snippets still occupy a highly visible spot. Not every query triggers AI Overview—snippet optimization remains valuable. Semrush

Snippet Formats & Share

FormatShareUseOptimization
Paragraph~70%Definition, "what is," "why"40–60 words; direct answer after H2
List~19%How-to, steps, options<ol> or <ul>; semantic HTML
Table~6%Comparisons, stats, specsClear headers; target keywords in column/row headers
VideoRareVisual how-toVideo schema; timestamps/chapters; see video-optimization

45 words is the most common paragraph length. Answer-first format is critical. On mobile, featured snippets can occupy ~50% of the screen, pushing competitors below the fold. Semrush

Content Structure

Answer-First Approach

  • Place direct answer in first 1–2 sentences (40–60 words) before any other content
  • H2/H3: Use clear headings; Google extracts from content under headings
  • Semantic HTML: <ol>, <ul>, <table>, <p>—avoid divs styled as lists
  • Inverted pyramid: Answer immediately (for snippet/AI), then add nuance/data that earns clicks
  • Objective tone: Write like a dictionary entry—avoid personal opinions and emotional language; supports E-A-T

HTML Structure

ElementUse
H2/H3Question or topic; Google recognizes and extracts; list snippets can be compiled from headings across the page—Google pulls H2s and converts to list items
<ol>Steps, rankings, sequences; list snippets
<ul>Non-sequential items; bullet snippets
<table>Comparisons, specs; table snippets; clean rows/columns; H2/H3 intro; target keywords in heading and surrounding content; ensure data is relevant and scannable
First paragraph40–60 words; direct answer

Annotations matter: Search engines use semantic labeling to identify relevant blocks ("Fraggles") and extract passages. Structure pages clearly—headings, lists, tables—so crawlers can annotate and pull the right content. Annotations can suggest relationships between blocks, enabling engines to stitch text from multiple parts. SEJ / Bing

Visual Elements

  • Optimized images near answers can double CTR by capturing thumbnail slots
  • Alt text, captions, file names support Image Pack and snippet thumbnails. See image-optimization for captions and full image SEO; serp-features for Image Pack context.

Query Targeting

FactorGuidance
Query types"How," "what," "why" questions; definitional queries
Long-tailFeatured snippets typically appear for long-tail (specific) queries; short-tail is broad and less likely
Ranking positionTarget positions 2–5; snippet ownership often comes from these (not always #1). Prerequisite: Must rank in top ~20 blue links to be considered; Q&A runs through top organic results
Q&A memoryBing (and likely Google) memorize results; you may retain snippet even if blue link ranking drops—once earned, you don't necessarily need to maintain position
IntentInformational; match user intent precisely
ToolsPAA (excellent for low-volume, snippet-triggering queries), AnswerThePublic, AlsoAsked, Semrush Keyword Magic Tool (SERP features filter: "Featured snippet")

How the Algorithm Works (Bing/Google)

  • Foundation: Core algorithm ranks blue links; Q&A/Featured Snippet is a modular layer on top—same ranking foundation
  • Process: 1) Take top blue link results; 2) Extract or create summary; 3) Identify implicit question each document answers; 4) Match user's question to best implicit question; 5) Feature that answer
  • E-A-T: Snippets are E-A-T–based (Bing: "Relevancy" = accuracy/expertise). Correctness first—conforms to accepted opinion, document quality. Then authority and trust (document, author, publisher). See eeat-signals for E-E-A-T implementation.
  • Meta descriptions: Do not affect ranking; engines generate descriptions on the fly. Over-optimized or missing meta descriptions lead engines to extract their own—structure helps them choose well. SEJ

GEO / AI Overviews

  • Layered content: Clear definitions, lists, steps—AI can cite and summarize
  • Self-contained blocks: Each answer readable alone; supports AI extraction
  • Schema: FAQPage, HowTo, Article—helps machines understand structure
  • See generative-engine-optimization for full GEO strategy

Finding Opportunities

  • Manual: Search target keyword; note if snippet appears and format (paragraph/list/table/video)
  • PAA: People Also Ask questions often trigger snippets; use as H2 or dedicated page
  • Tools: Semrush Keyword Magic Tool—filter by "Featured snippet" in SERP features; "Open SERP" to view current snippet
  • Best opportunities: Keywords where you already rank on page 1 (positions 1–10)

Monitoring

  • Google Search Console: Identify snippet opportunities; track performance
  • Position Tracking (e.g. Semrush): "Featured Snippets" tab—"Already featured" vs "Opportunities"
  • Rich Results Test: Validate schema; ensure extraction eligibility
  • CTR benchmarks: Snippets ~114% CTR increase vs position #1; adjust expectations when AI Overviews dominate

Output Format

  • Target queries (snippet-worthy)
  • Format (paragraph/list/table) per query
  • Content structure (H2, answer length, semantic HTML)
  • Schema if applicable (FAQ, HowTo)

Related Skills

  • serp-features: SERP features overview; Featured Snippet in context
  • content-optimization: H2 keywords, tables, lists; defers snippet-specific structure to this skill
  • faq-page-generator: FAQ format and answer length; FAQ schema for PAA
  • howto-section-generator: HowTo sections; list snippets; step copy; HowTo schema alignment
  • schema-markup: FAQPage, HowTo for rich results
  • heading-structure: H2–H3 hierarchy
  • generative-engine-optimization: AI citation; GEO strategy
  • eeat-signals: E-E-A-T implementation; authority, trust, author
  • image-optimization: Image SEO for snippet thumbnails; alt, captions, file names; captions support snippet context
  • video-optimization: Video snippet format; VideoObject; timestamps/chapters

References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.42%
按下载量换算1,452

Claude

30.58%
按下载量换算1,290

Cursor

21.34%
按下载量换算900

Gemini CLI

8.97%
按下载量换算378

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills