Backlink Source Prep logo

Backlink Source Prep

Organization
flaqai
backlink-source-prep

Prepare traceable backlink source data from Semrush organic competitors, Backlink Gap, referring-domain exports, local workbooks, and public lists. Use for source acquisition, inventory, normalization, consolidation, exclusion, and priority compression; stop before final site screening or submission.

Overview

Publisherflaqai
Repositorybacklink_skills
Skill namebacklink-source-prep
Stars
760
Forks
237
Bundled files
4
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.

  • 4 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 Source Prep 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-source-prep
  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 Source Prep 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 Source Prep 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 Source Prep 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.

外链源表整理

把分散的竞品和外链导出整理成可追溯、可压缩、可继续筛选的标准源表。原始文件永不覆盖;所有派生文件另存。

三种模式

  • 文件导入:用户已提供 CSV/XLSX,只做登记、读取和整理。
  • 浏览器导出:只有得到明确授权才操作 Semrush;不使用爬虫替代产品导出。
  • 离线整理:读取已有导出,生成合并候选、排除表、优先候选和统计报告。

需要浏览器导出时,先读 references/semrush-export.md。处理字段和压缩规则时,读 references/source-schema.md。

工作流程

  1. 为每个源文件登记目标域名、报告类型、数据库、报告日期、导出日期和文件名。
  2. 从自然搜索竞品中综合相关度、共同关键词、自然流量和主题适配选择参考竞品。指标决定优先顺序,不设单一严格淘汰线。
  3. 按工具允许的比较数量分批导出反向链接差异或引荐域名;记录批次号和竞品槽位。
  4. 运行 scripts/audit_semrush_exports.py 检查文件数、行数、空表、表头差异和读取错误。
  5. 标准化目标域名、来源竞品和引荐域名;保留原始值与来源文件。
  6. 先排除自有域、竞品自身域、明显短链、赌博、恶意、镜像和没有研究价值的噪声,再生成优先候选。
  7. 输出总量、唯一域名数、目标覆盖数和各排除原因,不能只给压缩后的数字。

优先候选

优先级可以参考目标覆盖数、竞品覆盖数、链接实力、自然流量和主题信号,但不得把单个第三方分数当作最终质量结论。高权重通用站不自动成为可投递平台;低权重垂直目录也不自动淘汰。

交接

至少交付:原始文件登记、合并候选、排除表、优先候选、统计报告。文件名后缀应带数据量,例如 合并去重候选-<行数>条.csv。此阶段不得把结果写成“已找到外链平台”或“已核验可投递”。

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 Source Prep AI skill do?

Prepare traceable backlink source data from Semrush organic competitors, Backlink Gap, referring-domain exports, local workbooks, and public lists. Use for source acquisition, inventory, normalization, consolidation, exclusion, and priority compression; stop before final site screening or submission.

Why use Backlink Source Prep on TypingMind?

Because you install it once and use it with any model. Backlink Source Prep 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 Source Prep 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-source-prep. 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 Source Prep?

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 Source Prep?

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

Is the Backlink Source Prep 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇