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seo-intelSEO intel 搜索

Agent Skill

seo-intel 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

250

周安装

10

GitHub Stars

45

下载量

81
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:seo-intel(SEO intel 搜索)
来源仓库:https://github.com/nimbleway/agent-skills
仓库路径:skills/seo-intel
安装命令:
npx skills add https://github.com/nimbleway/agent-skills --skill seo-intel
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/nimbleway/agent-skills --skill seo-intel

简介

用于查找 SEO 相关的情报和技术资料。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中基于关键词获取信息。
  • 可结合原始 README 验证具体功能,但需注意权限范围。
  • 安装方式:通过 npx 从 GitHub 仓库添加,建议先评估数据时效性。
  • 注意:SEO 策略变化较快,应定期更新搜索参数。

SKILL.md

SEO Intelligence Toolkit

All-in-one SEO intelligence: keyword discovery, rank tracking, technical audits, content gaps, competitor analysis, AI visibility, and GitHub SEO.

User request: $ARGUMENTS

Before running any commands, read references/nimble-playbook.md for Claude Code constraints (no shell state, no &/wait, sub-agent permissions, communication style).


Workflow Router

Detect the user's SEO intent from $ARGUMENTS and route to the appropriate workflow. If the intent is ambiguous or generic ("help me with SEO"), ask which workflow to run.

Available Workflows

WorkflowTriggersReference
Keyword Researchkeyword opportunities, topic clusters, difficulty, what to rank forreferences/wf-keyword-research.md
Rank Trackertrack rankings, keyword positions, ranking delta, position checkreferences/wf-rank-tracker.md
Site AuditSEO audit, technical SEO, meta tags, schema, crawl for issues, CWVreferences/wf-site-audit.md
Content Gapcontent gap, keyword gap, compare coverage, missing topicsreferences/wf-content-gap.md
Competitor Keywordscompetitor keywords, reverse-engineer SEO, competitor title tagsreferences/wf-competitor-keywords.md
AI VisibilityAI visibility, ChatGPT presence, Perplexity, AI Overview, GEOreferences/wf-ai-visibility.md
GitHub SEOgithub seo, repo discoverability, optimize readme, repo auditreferences/wf-github-seo.md

Intent Detection

Map the request to one workflow:

  • Keywords / topics / difficulty / clusters / "what to rank for" → Keyword Research
  • Rankings / positions / tracking / delta / monitoring → Rank Tracker
  • Audit / crawl / technical / meta / schema / links / CWV → Site Audit
  • Gap / missing topics / coverage comparison / "what should I write" → Content Gap
  • Competitor site crawl / reverse-engineer / on-page at scale → Competitor Keywords
  • AI visibility / ChatGPT / Perplexity / AI Overview / GEO → AI Visibility
  • GitHub / repo / README / discoverability → GitHub SEO

If unclear, present the options with AskUserQuestion:

Which SEO workflow should I run? - Keyword Research — discover keyword opportunities and topic clusters - Rank Tracker — check and track keyword positions over time - Site Audit — full technical SEO crawl with JS rendering - Content Gap — compare content coverage against competitors - Competitor Keywords — reverse-engineer competitor on-page SEO at scale - AI Visibility — measure brand presence across 5 AI platforms - GitHub SEO — audit repository discoverability and README quality

Execution

Once a workflow is identified:

  1. Read the corresponding references/wf-{name}.md
  2. Follow its instructions from Step 0 (Preflight) through to the output format
  3. All references/ paths inside workflow files are relative to this skill's directory

Workflow Chaining

After completing a workflow, suggest natural next steps using sibling workflows. Common chains:

  • Site Audit → Keyword Research → Content Gap → Rank Tracker
  • Keyword Research → Competitor Keywords → Content Gap
  • AI Visibility → Content Gap → Keyword Research

When chaining, read the next workflow file and continue. Context from the previous run (discovered domains, keyword lists, profile data) carries forward — do not re-run preflight or re-ask onboarding questions.

Shared Configuration

All workflows use:

  • Business profile + onboarding: references/profile-and-onboarding.md
  • Data persistence: references/memory-and-distribution.md
  • CLI patterns + constraints: references/nimble-playbook.md
  • AI platform agent discovery: references/ai-platform-profiles.md

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

36.26%
按下载量换算29

Claude

30.36%
按下载量换算25

Cursor

19.96%
按下载量换算16

Gemini CLI

8.96%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/nimbleway/agent-skills --skill seo-intel 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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

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