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Claude Code skill: find PR/backlink opportunities on Qwoted, build a sourced statistics page as a linkable asset, and pitch journalists — all from your AI agent.

15
4
100% credibility
Found Apr 28, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This repository provides Python scripts that enable AI assistants to automate profile setup, opportunity searching, statistics page generation, and pitching on Qwoted, a platform matching journalists with expert sources for PR and SEO backlinks.

How It Works

1
📰 Discover Qwoted

You learn about Qwoted, a place where journalists from big sites like Forbes ask for expert advice on stories they're writing.

2
📝 Sign Up for Free

You create a free account on Qwoted as an expert source, just like making a profile on a social site.

3
🤖 Add Helper to Your AI Assistant

You add this simple helper tool to your AI assistant, like Claude, so it can handle the busy work for you.

4
🚀 Set Up Your Expert Profile

You tell your AI assistant about yourself—your name, job, website—and it opens a browser window where you quickly sign in once, then automatically fills out your expert bio.

5
🔍 Find Matching Opportunities

You ask your AI to search for journalist requests that match your knowledge, like 'marketing tips' or 'AI trends'.

6
📊 Build Stats Page and Pitch

Your AI researches real facts, creates a shareable page full of charts and sources that you publish on your site, then drafts custom responses to top opportunities for your approval before sending.

🎉 Get Press Mentions

Journalists feature you in their articles with links back to your site, earning valuable mentions and visitors over time.

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AI-Generated Review

What is qwoted-seo-backlinks-skill?

This Python-based Claude code skill automates PR outreach on Qwoted, the HARO successor where journalists post source requests from TechCrunch, Forbes, and beyond. Your Claude code agent handles login via browser automation, searches opportunities with keyword queries, builds linkable stats pages packed with 40-80 sourced facts and charts, and pitches with user approval—logging everything for deduping. Install via npx skills add for Claude code cli integration, or clone for standalone Python scripts that output parseable JSON results.

Why is it gaining traction?

It stands out by chaining search, research asset generation, and pitching into one agent workflow, unlike basic HARO scrapers that stop at alerts. Developers dig the Claude code skills playbook for natural prompts like "pitch SaaS pricing opps," plus CLI flags for dry-run pitches and session persistence. Zero telemetry, local cookie storage, and MIT license make it a safe claude github integration for custom agents.

Who should use this?

Founders and SEO operators chasing white-hat backlinks via expert quotes. Marketers building AI agents for daily PR hunts on topics like AI in marketing. Devs extending claude code vscode or claude github actions with automated journalist outreach and stats-page assets.

Verdict

Grab it if you're in SEO automation—docs are thorough, setup takes minutes post-claude code install, and it delivers real backlinks despite 15 stars and 1.0% credibility score. Still early; lacks tests and broad adoption, so audit before production.

(198 words)

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