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GEO Optimizer로 AI 검색 인용 준비 상태 감사하기

GEO Optimizer를 CLI 또는 MCP에서 사용하여 에이전트가 사이트의 AI 검색 가시성을 감사하고, llms.txt/스키마 수정 사항을 생성하며, 봇 접근을 확인하고, 인용 준비 상태를 추적할 수 있습니다.

GEO Optimizer로 AI 검색 인용 준비 상태 감사하기란 무엇인가요?

이 스킬은 GEO Optimizer를 활용하여 AI 검색 엔진(예: Perplexity, ChatGPT, Claude 등)에서 사이트가 얼마나 잘 인용되는지 감사하고 개선하는 방법을 제공합니다. 개발자나 AI 에이전트 사용자는 CLI 명령어나 MCP 프로토콜을 통해 사이트의 llms.txt 파일 존재 여부, 구조화된 데이터(스키마) 적절성, 봇 접근성(AI 크롤러 차단 여부) 등을 점검할 수 있습니다. 이 스킬은 Python 3.9 이상 환경에서 `geo-optimizer-skill` 패키지를 설치하거나 `uvx`를 통해 실행할 수 있으며, Claude Code, Cursor, Windsurf 등 MCP를 지원하는 다양한 런타임과 통합됩니다. 또한 선택적으로 Perplexity/OpenAI/Anthropic API 키를 설정하면 실시간 인용 검사를 수행하여 AI 응답에서 현재 사이트가 어떻게 언급되는지 확인할 수 있습니다. 결과적으로 이 스킬은 AI 검색 가시성을 체계적으로 관리하고 개선하여 사이트의 인용률을 높이는 데 도움을 줍니다.

지원 대상✓Claude Code✓Codex CLI✓Cursor✓Windsurf
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/audit-ai-search-citation-readiness-with-geo-optimizer
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OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

문서

GEO Optimizer로 AI 검색 인용 준비 상태 감사하기은(는) 무엇을 하나요?

GEO Optimizer를 CLI 또는 MCP에서 사용하여 에이전트가 사이트의 AI 검색 가시성을 감사하고, llms.txt/스키마 수정 사항을 생성하며, 봇 접근을 확인하고, 인용 준비 상태를 추적할 수 있습니다.

전제 조건

Python 3.9+; geo-optimizer-skill 패키지; Claude Code, Cursor, Windsurf 또는 기타 MCP 지원 런타임과 같은 선택적 MCP 클라이언트; 실시간 인용 검사를 위한 선택적 Perplexity/OpenAI/Anthropic 키

설치

CLI 패키지 설치:

  • pip install geo-optimizer-skill

전제 조건: Python 3.9 이상. 현재 환경에 설치하지 않고 한 번 감사 실행:

설치 후 기본 감사 실행:

문서

출처

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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