Claude Code Skill Automates SEO, Aims to Replace Agencies

Claude Code Skill Automates SEO, Aims to Replace Agencies

A new Claude Code skill designed to automate search optimization across multiple platforms and AI engines has drawn attention for its explicit positioning as an agency replacement. The skill audits websites, fixes technical issues, and measures results, targeting a range of optimization practices from traditional SEO to emerging AI search visibility.

Optimization Audit diagram showing SEO strategies: Traditional SEO, AEO, GEO, LLMO, and NEO for automated search engine op...

The skill, released on GitHub as “fire-your-seo-agency,” covers five optimization categories: traditional search engine optimization (SEO), answer engine optimization (AEO), generative engine optimization (GEO), large language model optimization (LLMO), and what its creator calls NEO, or Naver Engine Optimization. NEO distinguishes the skill from global AEO guides that ignore Naver entirely, serving Korean market traffic where the local search engine remains dominant.

Pitched as a Cost Replacement for Search Agencies

The developer frames the tool as a direct substitute for monthly retainers. The skill is meant to replace an SEO agency charging $400 to $2,500 a month, with the central argument being that most of what agencies actually do is public standards and repeatable checklists. Installation is available through Claude’s plugin marketplace or by cloning the repository into a project or personal skill directory.

Unlike abstract frameworks or guidelines, the skill is structured as an operational workflow. The agent starts with a crawler-eye audit and returns a scorecard before touching anything, establishing a baseline before implementing changes. The tool’s underlying philosophy, as described by its creator, is simple: “AI doesn’t cite good writing. AI cites accurate data.”

Website audit report showing SEO improvements: overall score increased from 62 to 92, with performance, mobile usability, ...

Real-World Claims and GitHub Traction

The developer published case study data from Chickenstock, a Korean stock research service built solo. According to the repository, the same optimization playbook produced 1.54 million search impressions in 30 days (an 85,578% month-over-month increase) and 7,400 clicks, with pages cited by Naver’s AI Briefing feature and zero advertising spend. The journey was documented publicly on the Threads account @kindainvestor.

Naver SEO growth chart showing 85,578% monthly increase with 1.54M impressions and 7,400 clicks

The repository attracted immediate developer interest. The repository picked up 218 GitHub stars in a day, signaling early adoption curiosity. As of mid-September 2026, community tracking sites recorded the repository at 343 stars, though sustained production use remains unverified in public materials.

Expanding Integration Landscape for Claude Code

The SEO skill’s release coincides with broader movement in Claude Code’s integration footprint. Figma recently announced AI-powered updates, including integration with Claude Code and Codex through Figma Make, adding a new code layer to the design platform. The announcement triggered market scrutiny, with RBC Capital raising questions about monetization of AI features. Figma’s stock hit a record low following the analyst note, despite retail investor optimism about the AI push.

Elsewhere, Claude Code agents have become more visible in web traffic logs. A New Zealand news site published an 11-day log of AI bot activity, documenting how Claude Code web requests identified themselves while fetching pages. The transparency of agent identification is drawing interest from publishers and webmasters tracking AI crawler behavior on their properties.

Meanwhile, Claude Code itself added a wrap-up feature when users hit the five-hour usage limit. The update helps the agent stop gracefully at the limit instead of cutting off mid-task, addressing a workflow pain point for long-running optimization or development sessions.

Claude Code shutdown dialog showing task finalization with 7:32 time remaining and completion checkmarks for saved code an...

Multi-Agent Coordination and Design Workflows

Reports from China describe Claude Code participating in multi-agent orchestration systems, where it collaborates with other AI coding tools under a coordinator layer referred to as Raven. These configurations are being tested for design-related capabilities and complex development workflows that require handoffs between specialized agents.

RAVEN Orchestrator system diagram showing Claude Code, AI agents for data processing, research, task planning, text analys...

The appearance of skills like fire-your-seo-agency reflects a shift in how repeatable professional work is being packaged. Rather than selling consulting hours or monthly retainers, developers are releasing executable agent playbooks that users can run on-demand against their own projects.

Key Facts

  • The “fire-your-seo-agency” Claude Code skill audits and optimizes SEO, AEO, GEO, LLMO, and Naver-specific search visibility in a single automated workflow
  • The developer positions it as a replacement for agencies charging $400 to $2,500 per month
  • A case study from Chickenstock showed 1.54 million search impressions in 30 days and 7,400 clicks with no ad spend
  • The GitHub repository gained 218 stars within 24 hours of release
  • Figma integrated Claude Code and Codex through Figma Make, adding a new code layer to the design platform
  • Claude Code added a wrap-up feature to handle the five-hour usage limit gracefully

Sources

Sources

  1. GitHub – leopard627/fire-your-seo-agency: Fire your SEO·GEO agency 🔥 A Claude Code skill that audits and optimizes SEO·AEO·GEO·LLMO·NEO(Naver) by itself — 월 50~350만 원짜리 ‘AI 검색 최적화’ 대행, AI 에이전트가 대체합니다
  2. A solo Korean builder’s “fire your SEO agency” skill cites real numbers — Enterprise DNA