← 返回
未分类 中文

SEO Companion

Deep SEO analysis and execution for on-page SEO, technical SEO, content strategy, local SEO, keyword research, and backlink risk/recommendations. Use when au...
Deep SEO analysis and execution for on-page SEO, technical SEO, content strategy, local SEO, keyword research, and backlink risk/recommendations. Use when au...
bedouijesser bedouijesser 来源
未分类 clawhub v1.0.2 1 版本 100000 Key: 无需
★ 0
Stars
📥 391
下载
💾 0
安装
1
版本
#latest

概述

SEO Companion

Use this skill to deliver rigorous, implementation-focused SEO help without drifting into vague marketing advice.

Core operating rules

  • Separate facts, strong heuristics, and situational suggestions.
  • Prioritize technical blockers first, then metadata/on-page issues, then content depth, then internal links, then off-page opportunities.
  • Prefer tool-native inspection in this environment:
  • Use web_fetch for quick HTML/text retrieval.
  • Use browser when rendered DOM, JS behavior, or screenshots matter.
  • Use the bundled audit script for repeatable extraction.
  • Do not recommend black-hat tactics: no PBNs, bought reviews, cloaking, doorway pages, or spam link packages.
  • Be explicit about uncertainty. Many SEO thresholds are heuristics, not laws.

Request triage

Classify the request before answering:

  1. On-page SEO
    • Titles, meta descriptions, H1/H2/H3 structure, canonicals, alt text, internal links.
    • Read references/on-page.md.
  1. Technical SEO
    • Indexing, robots.txt, sitemap, redirects, canonicalization, renderability, structured data, performance.
    • Read references/technical.md.
  1. Content strategy / keyword work
    • Keyword targeting, clustering, cannibalization, content briefs, content gaps.
    • Read references/content-strategy.md.
  1. Local SEO
    • GBP, NAP consistency, local landing pages, reviews, citations.
    • Read references/local-seo.md.
  1. Link building / backlink evaluation
    • Link quality, outreach ideas, risk flags, sustainable acquisition.
    • Read references/link-building.md.
  1. Full audit
    • Run the bundled script first, then deepen with browser/manual inspection if needed.
    • Read references/technical.md and references/on-page.md.

Runtime requirements and fallbacks

Preferred runtime for the bundled script:

  • Python 3
  • requests
  • beautifulsoup4 (bs4)

If those Python dependencies are missing:

  • do not fail silently
  • ask before installing packages in environments where package installation changes the system/runtime state
  • if package installs are not approved or not appropriate, fall back to web_fetch for raw HTML/text inspection and browser for rendered-page inspection

The script is optional support tooling, not a hard requirement for using this skill.

Target safety

Do not run the bundled script against private/internal targets unless the user explicitly intends that and the environment is trusted.

Treat these as blocked by default for routine SEO work:

  • localhost
  • loopback addresses
  • private RFC1918 IP ranges
  • link-local addresses
  • obvious cloud metadata endpoints
  • internal-only hostnames or intranet targets

For normal public-site SEO auditing, stick to public HTTP/HTTPS URLs.

Standard workflow for a URL audit

  1. Run the bundled script:
python3 scripts/audit_page.py <URL>
  1. Review the structured output for:
    • title/meta quality
    • canonical presence
    • robots directives
    • heading counts
    • internal/external links
    • image alt gaps
    • structured data presence
    • robots.txt / sitemap availability
  1. If the page is JS-heavy or the HTML output looks incomplete, inspect with browser.
  1. Produce findings in this order:
    • Critical blockers
    • High-impact improvements
    • Medium / nice-to-have fixes
    • What to do next

Output contracts

Quick page audit

Use when the user wants a fast diagnosis for one page.

Include:

  • summary table
  • top 3–7 issues
  • exact rewrites if applicable

Full SEO teardown

Use when the user wants a deeper review.

Include:

  • technical section
  • on-page section
  • content section
  • internal linking / structure section
  • local SEO section if relevant
  • prioritized roadmap

Metadata rewrite pack

Use when the user asks for titles, descriptions, or heading rewrites.

Include:

  • 3–5 title options
  • 2–3 meta description options
  • suggested H1
  • reasoning briefly tied to query intent / CTR / relevance

Default thresholds

Treat these as strong heuristics, not absolute truths:

  • Title tag: ideal ~50–60 chars
  • Meta description: ideal ~120–156 chars
  • H1 count: exactly 1 preferred
  • Thin content risk: often under ~500–600 body words for pages intended to rank
  • Strong content target: depends on intent and SERP, not a fixed word count

Reporting style

When reporting, always:

  • cite exact numbers where useful
  • distinguish page-specific vs site-wide issues
  • explain why something matters
  • avoid fake certainty
  • prefer actionable fixes over generic theory

Reference map

Read only what you need:

  • references/on-page.md
  • references/technical.md
  • references/content-strategy.md
  • references/local-seo.md
  • references/link-building.md
  • references/platform-playbooks.md
  • references/canada-local.md

Bundled script

Use scripts/audit_page.py for repeatable extraction. It is intentionally conservative and should be supplemented with rendered-page inspection when needed.

If the script cannot run because Python dependencies are unavailable, continue with a manual audit using web_fetch and browser rather than treating the skill as unusable.

版本历史

共 1 个版本

  • v1.0.2 当前
    2026-05-07 09:08 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

content-creation

Marketing Mode

thesethrose
{"answer":"营销模式整合23项全能技能,涵盖策略、心理、内容、SEO、转化优化及付费增长。适用于营销策略、文案、SEO、转化优化、付费广告及各类营销战术需求。"}
★ 163 📥 25,292
content-creation

humanizer-zh

liuxy951129-cpu
去除文本中的 AI 生成痕迹。适用于编辑或审阅文本,使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式:夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段
★ 64 📥 30,525
content-creation

Humanizer

biostartechnology
消除AI写作痕迹,使文本更自然真实。基于维基百科"AI写作特征"指南,识别并修正夸张象征、宣传用语、肤浅-ing分析、模糊归因、破折号滥用、三项排比、AI词汇、负面平行结构及冗长连接词等模式。
★ 931 📥 211,025