Backlink Quality Expansion logo

Backlink Quality Expansion

Organization
flaqai
backlink-quality-expansion

Screen and expand editorial backlink opportunities such as guest articles, expert contributions, industry publications, and curated resource pages. Use when topic fit, admission difficulty, and expected return must be balanced; do not write, pitch, pay, or submit without separate authorization.

Overview

Publisherflaqai
Repositorybacklink_skills
Skill namebacklink-quality-expansion
Stars
760
Forks
237
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by flaqai on GitHub. Read the source before you install it.

Installation

Install the Backlink Quality Expansion AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/flaqai/backlink_skills/tree/main/双线外链挖掘矩阵/skills/backlink-quality-expansion
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Backlink Quality Expansion in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Backlink Quality Expansion on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Backlink Quality Expansion is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

质量外链扩量

筛选值得投入内容或沟通成本的文章投稿、行业媒体、专家贡献和编辑型资源机会。目标不是只追求高权重,也不是只追求数量,而是在主题适配、准入难度和预期回报之间取得平衡。

输入

可以接收 Semrush 优先候选、竞品真实引荐域名、行业媒体名单、资源推荐页、公开投稿指南和历史候选表。候选来源本身不等于投递资格。

筛选流程

  1. 先确认页面类型:投稿指南、编辑部联系、专栏申请、资源页建议、赞助内容或已暂停计划。
  2. 判断主题是否适合至少一个目标品牌,并说明可写的内容方向;仅能硬塞品牌名的不保留。
  3. 判断准入要求:选题、样稿、作者资历、原创字数、编辑审核、独家要求、作品案例和响应方式。
  4. 判断预期回报:目标读者、页面质量、编辑可信度、链接政策信号和品牌曝光价值。第三方权重只作参考。
  5. 按免费、明确付费、费用待确认分类;保留证据页面和检查日期。
  6. 输出可执行池、备用池和排除表,再交给 backlink-workbook-delivery 统一去重和制表。

详细判断见 references/editorial-screening.md;费用和准入分类见 references/fee-and-admission.md。

保留与排除

优先保留主题明确、官方入口清楚、读者与品牌匹配、投入可估算的机会。暂停投稿、只接受新闻稿、明显卖链、无编辑标准、内容农场或要求伪装推广的站点不得进入免费可执行池。高难度但高回报的机会进入备用池,不因难度大直接删除。

状态边界

本技能只做研究和筛选。不撰写正式文章、不使用虚假作者身份、不发送提案、不付款、不承诺链接属性。交付状态最高为“质量线待执行候选”。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Backlink Quality Expansion AI skill do?

Screen and expand editorial backlink opportunities such as guest articles, expert contributions, industry publications, and curated resource pages. Use when topic fit, admission difficulty, and expected return must be balanced; do not write, pitch, pay, or submit without separate authorization.

Why use Backlink Quality Expansion on TypingMind?

Because you install it once and use it with any model. Backlink Quality Expansion is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Backlink Quality Expansion in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/flaqai/backlink_skills/tree/main/双线外链挖掘矩阵/skills/backlink-quality-expansion. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Backlink Quality Expansion?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Backlink Quality Expansion?

As many as you like. As long as a model supports skills, you can use Backlink Quality Expansion with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Backlink Quality Expansion AI skill free?

Yes. It is published on GitHub by flaqai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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