our-claude-skills

ourdigital/our-claude-skills

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Author	SHA1	Message	Date
Andrew Yim	9f7f9e7221	education: clarify ga4_gtm_intermediate (=기본구성/숨고), add marketing-analytics course The 숨고 GA4/GTM 중급 기본견적 is identical to the existing ga4_gtm_intermediate course (17 lessons, ₩1,570,000) — labeled it as the 기본구성 standard + aliases rather than duplicating. Added the genuinely distinct GA4/GTM 마케팅 애널리틱스 course (22 lessons incl. 메타/구글 솔루션 + 워크숍 + 트리트먼트) → list ₩4,070,000. Validated: intermediate ₩1,570,000, marketing_analytics ₩4,070,000. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-28 02:15:56 +09:00
Andrew Yim	08cb20fc67	Add real digital_ads + digital_branding catalogs Built from real D.intelligence docs (not the 견적 자료 folder, which has only GA4/GTM + education — confirmed): - digital_branding: TNS 유학원 디지털 브랜딩 진단 컨설팅 → ₩9,000,000 (5 fixed stages) - digital_ads: 디하이브 디지털 광고·퍼포먼스 마케팅 대행 계약 → ₩6,000,000/월 retainer (media-spend commission % is per-deal, kept as a parameter — not invented) effort method now supports fixed-amount tasks (Unit Cost) and monthly retainers (unit: monthly); render shows 고정/—//월 and retainer/commission notes. Validated: branding ₩9.0M, ads ₩6.0M/월; no regression (SEO 25.0M, coaching 1.57M). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-28 02:06:59 +09:00
Andrew Yim	c9bdbb57f7	Extract ourdigital-estimate-engine; presales-seo now calls it New skill 96-ourdigital-estimate-engine: method-aware quoting engine (effort / coaching / procurement) with universal rate_card + per-service catalog. Real catalogs: seo (effort), education (coaching); stubs: digital_ads, digital_branding. Validated to reproduce real quotes — SEO basic ₩10.5M / treatment ₩25.0M, SHR chain ₩29.5M, L'Escape basic ₩10.5M, GA4/GTM coaching ₩1,570,000, procurement +15%. Refactor 95-ourdigital-presales-seo: remove rate_card.yaml, sow_templates.yaml, estimate.py (migrated to engine); add findings_to_scope.py; Stage 5 now maps findings→scope.json and calls the engine CLI. build_deck/kg_query unchanged; end-to-end validated on SHR (29.5M) + deck renders engine estimate.json. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-28 01:54:11 +09:00

Author

SHA1

Message

Date

Andrew Yim

9f7f9e7221

education: clarify ga4_gtm_intermediate (=기본구성/숨고), add marketing-analytics course

The 숨고 GA4/GTM 중급 기본견적 is identical to the existing ga4_gtm_intermediate
course (17 lessons, ₩1,570,000) — labeled it as the 기본구성 standard + aliases
rather than duplicating. Added the genuinely distinct GA4/GTM 마케팅 애널리틱스
course (22 lessons incl. 메타/구글 솔루션 + 워크숍 + 트리트먼트) → list ₩4,070,000.

Validated: intermediate ₩1,570,000, marketing_analytics ₩4,070,000.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-05-28 02:15:56 +09:00

Andrew Yim

08cb20fc67

Add real digital_ads + digital_branding catalogs

Built from real D.intelligence docs (not the 견적 자료 folder, which has only
GA4/GTM + education — confirmed):
- digital_branding: TNS 유학원 디지털 브랜딩 진단 컨설팅 → ₩9,000,000 (5 fixed stages)
- digital_ads: 디하이브 디지털 광고·퍼포먼스 마케팅 대행 계약 → ₩6,000,000/월 retainer
  (media-spend commission % is per-deal, kept as a parameter — not invented)

effort method now supports fixed-amount tasks (Unit Cost) and monthly retainers
(unit: monthly); render shows 고정/—//월 and retainer/commission notes.
Validated: branding ₩9.0M, ads ₩6.0M/월; no regression (SEO 25.0M, coaching 1.57M).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-05-28 02:06:59 +09:00

Andrew Yim

c9bdbb57f7

Extract ourdigital-estimate-engine; presales-seo now calls it

New skill 96-ourdigital-estimate-engine: method-aware quoting engine
(effort / coaching / procurement) with universal rate_card + per-service
catalog. Real catalogs: seo (effort), education (coaching); stubs:
digital_ads, digital_branding. Validated to reproduce real quotes —
SEO basic ₩10.5M / treatment ₩25.0M, SHR chain ₩29.5M, L'Escape basic
₩10.5M, GA4/GTM coaching ₩1,570,000, procurement +15%.

Refactor 95-ourdigital-presales-seo: remove rate_card.yaml, sow_templates.yaml,
estimate.py (migrated to engine); add findings_to_scope.py; Stage 5 now maps
findings→scope.json and calls the engine CLI. build_deck/kg_query unchanged;
end-to-end validated on SHR (29.5M) + deck renders engine estimate.json.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-05-28 01:54:11 +09:00

3 Commits