flaqai/backlink_skills

What it solves

This project provides a structured workflow for managing backlink submissions and SEO content production. It solves the problem of inefficient, low-quality, or spammy link-building practices by replacing "one-click mass mailing" with a verifiable, AI-driven process that prioritizes channel quality, platform-specific content, and human-in-the-loop verification.

How it works

The project is implemented as a set of "Codex Skills" (reusable instructions and scripts) that guide an AI agent through specific SEO tasks:

• Backlink Submission: Two distinct paths are provided. SPD V1 Batch focuses on efficiency and recovery for pre-filtered URL lists, while SPD V2 Quality focuses on deep research, audience relevance, and high-quality submissions in small batches.
• SEO Writing: A general writer skill for blogs and tutorials, and specialized writers for LinkedIn, Medium, and WeChat, which adapt the tone, structure, and delivery format to each platform's specific audience and rules.
• Verification: The system emphasizes evidence-based tracking, distinguishing between states like submitted, awaiting approval, and published, and requires users to handle CAPTCHAs and 2FA manually to avoid violating site terms.
• Resource List: It includes a curated list of 743 free backlink channels with descriptions and operational notes.

Who it’s for

• Marketers and founders promoting AI products or SaaS tools.
• SEO specialists looking for a systematic, non-spammy way to build backlinks.
• Users of AI agents (like Codex) who want reusable workflows for digital promotion.

Highlights

• Dual-Track Submission: Separate workflows for high-volume efficiency (V1) and high-quality brand positioning (V2).
• Platform-Specific Content: Tailored writing skills for LinkedIn, Medium, and WeChat rather than generic content duplication.
• ** uma-in-the-loop**: Explicitly separates automated execution from manual verification (CAPTCHAs, email confirmation).
• Auditability: Includes Python scripts to audit submission records and check for mechanical writing patterns.