SKILL.md orchestration (8 gated stages), references (rate_card.yaml, findings_to_service rubric, competitor sets), findings.schema.json contract, and scripts: kg_query.py (generalized KG examination), estimate.py (findings→rate-card 견적 md/xlsx/json), build_deck.py (9-slide branded PPTX), render_pdf.sh (Korean PDF via headless Chrome), plus client_brief.html template. Validated on Sono Hotels & Resorts findings: estimate OD-2026-001 (23-47M KRW) and a 9-slide deck generated cleanly. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
52 lines
1.6 KiB
YAML
52 lines
1.6 KiB
YAML
# OurDigital service rate card — single source for estimate.py
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# Mirrors the ourdigital-backoffice quote ranges. Values are KRW, treated as
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# pre-sales estimate RANGES (finalize after a precise diagnostic with access).
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quote_prefix: OD # quote number format: OD-YYYY-NNN
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currency: KRW
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services:
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technical_audit:
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label_ko: "Technical Audit / 기술 SEO 진단"
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unit: one_time # one_time | monthly | project
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min: 3000000
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max: 5000000
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technical_remediation:
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label_ko: "기술 개선 실행 (sitemap/CWV/SSR)"
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unit: project
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min: 3000000
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max: 8000000
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onpage_entity:
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label_ko: "On-Page / Entity Optimization (월 운영)"
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unit: monthly
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min: 1500000
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max: 3000000
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schema_build:
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label_ko: "구조화 데이터(Schema) 구축 (1회)"
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unit: one_time
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min: 2000000
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max: 4000000
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local_seo:
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label_ko: "Local SEO (프로퍼티 로컬 최적화)"
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unit: monthly
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min: 1000000
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max: 2000000
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gtm_setup:
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label_ko: "GTM Setup / 태그 관리 구축"
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unit: project
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min: 2000000
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max: 4000000
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ga4_impl:
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label_ko: "GA4 Implementation / 분석 환경 구축"
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unit: project
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min: 1500000
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max: 3000000
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dashboard:
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label_ko: "Dashboard Development / 대시보드 개발"
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unit: project
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min: 3000000
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max: 6000000
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defaults:
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retainer_months: 6 # default contract length for monthly line items
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disclaimer_ko: "본 견적은 공개 데이터 기반 사전 추정 범위이며, Search Console/Analytics 권한 확보 후 정밀 진단을 통해 확정됩니다."
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