Add 9 agent skills (#70-#77, #88) for D.intelligence business operations: brand guardian, brand editor, doc secretary, quotation manager, service architect, marketing manager, back office manager, account manager, and skill update meta-agent. Includes shared Python package (dintel), reference docs, document/quotation templates, service module CSVs, cross-device installer, and comprehensive user guide. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
55 lines
1.4 KiB
Markdown
55 lines
1.4 KiB
Markdown
# Feedback Log
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> Quotation Manager learning log -- records Andrew's corrections and adjustments.
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> Over time, this log builds patterns for more accurate estimates.
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---
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## Log Format
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Each entry follows this structure:
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```yaml
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- date: "YYYY-MM-DD"
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quotation_ref: "DI-Q-YYYYMMDD-NNN"
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client_industry: "업종"
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adjustments:
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- type: "price | scope | timeline | discount | terms"
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module: "A3" # or null for general
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original: "560만원"
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adjusted: "520만원"
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reason: "Andrew's comment text"
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pattern_note: "Optional generalized learning"
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```
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---
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## Entries
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_No entries yet. This log will be populated as Andrew reviews quotation drafts._
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<!--
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Example entry (for reference):
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- date: "2026-03-08"
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quotation_ref: "DI-Q-20260308-001"
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client_industry: "이커머스"
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adjustments:
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- type: "price"
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module: "A3"
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original: "560만원"
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adjusted: "520만원"
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reason: "이커머스 업종은 A3 데이터 분석 범위가 표준보다 좁음"
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- type: "scope"
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module: "T4"
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original: null
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adjusted: "추가"
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reason: "콘텐츠 마케팅 포함 필요"
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- type: "discount"
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module: null
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original: "20%"
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adjusted: "25%"
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reason: "Full cycle 계약 확정으로 할인율 상향"
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pattern_note: "이커머스 업종은 A3 단가를 range 하단에 가깝게 책정"
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-->
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