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arturseo-geo/content-pipeline-skill

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20 stars 품질 49 트렌드 10MIT

Multi-agent content production skill for Claude Code — 6 specialist agents (research, writer, editor, SEO/GEO, analytics, master QA gate) with handoff protocols, quality checkpoints, and analytics...

개요

Multi-agent content production pipeline for Claude Code where 7 specialist agents work together to research, write, edit, optimise for SEO/GEO, and validate against live analytics — with a master agent reviewing all outputs before human approval. - who want AI-assisted production with human quality gates - who need research → writing → editing → SEO in one workflow - who want content optimised for both traditional search and AI citation - who wants a reference architecture for multi-agent pipelines Most "content AI" tools generate text and call it done.

README

원문 README의 일부입니다. 원문 보기.

content-pipeline-skill

Built by Artur Ferreira @ The GEO Lab · 𝕏 @TheGEO_Lab · LinkedIn · Reddit

Multi-agent content production pipeline for Claude Code where 7 specialist agents work together to research, write, edit, optimise for SEO/GEO, and validate against live analytics — with a master agent reviewing all outputs before human approval.

Who This Is For

  • Content teams who want AI-assisted production with human quality gates
  • Solo creators who need research → writing → editing → SEO in one workflow
  • SEO practitioners who want content optimised for both traditional search and AI citation
  • Anyone building on Claude Code who wants a reference architecture for multi-agent pipelines

What Makes This Different

Most “content AI” tools generate text and call it done. This skill orchestrates a full pipeline:

  • ✅ 7 specialist agents — research, writer, editor, SEO/GEO optimizer, analytics, GEO quality gate, master QA gate
  • ✅ GEO Quality Gate — 5-question per-section checklist ensuring every H2 is citation-ready, pronoun-resolved, single-topic, data-backed, and opens with a direct answer
  • ✅ Agent handoff protocols — structured context passing between agents with token budgets
  • ✅ Quality checkpoints — gates between every pipeline stage, not just at the end
  • ✅ Analytics integration — pulls live GSC + GA4 data to inform content decisions
  • ✅ GEO optimisation — not just SEO keywords, but AI extractability and citation readiness
  • ✅ Human approval gate — pipeline halts before publishing, outputs to .claude/pipeline/
  • ✅ Slash command — trigger with /content-pipeline inside Claude Code
  • ✅ Production-tested — part of the The GEO Lab toolkit for AI-assisted content operations

Pipeline Flow

Research Agent → Writer Agent → Editor Agent → SEO/GEO Agent
                                                     ↓
                                              Analytics Agent
                                                     ↓
                                              Master Agent (GEO Quality Gate → GO / NEEDS REVISION)
                                                     ↓
                                              Human Approval → Publish

Install

# Clone
GitHub에서 전체 README 보기

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