Track and update action item status from natural language updates like 'Seanのメールには返信しておいた' or 'Lu対応予定'. Integrates with daily-comms-ops workflow. Use when managing action items across communication channels.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Track design iteration history and apply consistent styling decisions across revision cycles. Use when handling follow-up change requests that reference previous design decisions (e.g., '前回も色で良いんだけど', 'same style as before', 'like we discussed').
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
This skill maintains a session-local design decision log that tracks styling choices, revision history, and contextual relationships across multiple document or presentation revision cycles. It enables Claude to understand references to previous changes and apply consistent design decisions without requiring users to repeat context.
When starting work on a document/presentation, initialize a design session log. The log file is created in the current working directory.
python3 scripts/design_log.py init \
--document "presentation.pptx" \
--session-name "Q4 Sales Deck Revisions"
This creates a .design-log.json file that tracks all design decisions for the session.
Each time a design change is made, record it in the log with context about what was changed and why.
python3 scripts/design_log.py record \
--category "color" \
--element "header-background" \
--old-value "#FFFFFF" \
--new-value "#003366" \
--reason "User requested corporate blue for headers" \
--reference "slide-3"
Categories include:
color - Color changes (hex values, color names)typography - Font family, size, weight changeslayout - Positioning, spacing, alignment changescontent - Text, image, or data changesstyle - Border, shadow, effect changesWhen user references a previous decision, query the log to retrieve context.
python3 scripts/design_log.py query \
--category "color" \
--limit 5
Or search by keyword:
python3 scripts/design_log.py search \
--keyword "header" \
--limit 10
When applying a previous decision to new elements, reference the decision ID.
python3 scripts/design_log.py apply \
--decision-id "dec_001" \
--target-element "slide-7-title"
This records that the same styling was applied to a new element, maintaining traceability.
Generate a summary of all design decisions for documentation or review.
python3 scripts/design_log.py history \
--format markdown \
--output design-history.md
When user says something like "前回も色で良いんだけど" (the color from last time is fine), use the context resolution workflow:
# Find recent color decisions
python3 scripts/design_log.py query --category color --limit 3
# Apply the identified decision
python3 scripts/design_log.py apply \
--decision-id "dec_003" \
--target-element "current-element" \
--context "User confirmed previous color choice"
{
"schema_version": "1.0",
"session": {
"id": "session_uuid",
"name": "Q4 Sales Deck Revisions",
"document": "presentation.pptx",
"created_at": "2024-01-15T10:30:00Z",
"updated_at": "2024-01-15T14:45:00Z"
},
"decisions": [
{
"id": "dec_001",
"timestamp": "2024-01-15T10:35:00Z",
"category": "color",
"element": "header-background",
"old_value": "#FFFFFF",
"new_value": "#003366",
"reason": "User requested corporate blue for headers",
"reference": "slide-3",
"applied_to": ["slide-3-header", "slide-7-title"],
"superseded_by": null
}
],
"design_tokens": {
"colors": {
"primary": "#003366",
"secondary": "#F0F0F0"
},
"typography": {
"heading-font": "Arial Bold",
"body-font": "Arial"
}
}
}
# Design History: Q4 Sales Deck Revisions
**Document**: presentation.pptx
**Session Started**: 2024-01-15 10:30
## Timeline
### 2024-01-15 10:35 - Color Change
- **Element**: header-background
- **Change**: #FFFFFF → #003366
- **Reason**: User requested corporate blue for headers
- **Applied to**: slide-3-header, slide-7-title
### 2024-01-15 11:20 - Typography Change
- **Element**: body-text
- **Change**: 12pt → 14pt
- **Reason**: Improved readability for presentation room
## Design Tokens
| Category | Token | Value |
|----------|-------|-------|
| Color | Primary | #003366 |
| Color | Secondary | #F0F0F0 |
| Typography | Heading Font | Arial Bold |
| Typography | Body Font | Arial |
scripts/design_log.py -- CLI tool for managing design decision logsreferences/design-decision-methodology.md -- Best practices for tracking and applying design decisionsThis skill complements:
fujisoft-presentation-creator -- Track design decisions made during presentation creationpresentation-reviewer -- Reference design history when reviewing presentationsmarkdown-to-pdf -- Apply consistent styling tokens to PDF generation아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Track and update action item status from natural language updates like 'Seanのメールには返信しておいた' or 'Lu対応予定'. Integrates with daily-comms-ops workflow. Use when managing action items across communication channels.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
AI活用提案の専門コンサルタントスキル。LLM・AIエージェントの活用事例知識を基に、業界別、部門別、シーン別に最適なAI導入提案を行います。システム化、業務改善、効率化を得意とし、具体的な活用事例、期待効果、導入ステップを含む実践的な提案を提供します。Use when proposing AI/LLM adoption strategies for specific industries, departments, or business scenarios.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate AI-powered BPO service proposals for Japanese companies in the US market. Use when creating outsourcing proposals with AI service menus, ROI estimation, implementation roadmaps, and bilingual (JA/EN) proposal documents for 在米日系企業向けAI実装.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
AI(LLM)が生成した日本語テキストの「AI臭」を検出・診断し、人間らしい文章にリライトするスキル。 Use when: 「AIっぽい文章を直して」「人間らしくリライトして」「AI臭を消して」「この文章をもっと自然にして」 「テキストのAI感を減らして」「機械っぽさを取りたい」 "make this sound more human", "remove AI tone", "humanize this text", "detect if this is AI-generated". 6つのAI特有パターン(視覚的マーカー、単調なリズム、マニュアル的構成、非コミット姿勢、抽象語の濫用、 定型メタファー)を正規表現ベースで検出し、0-100のAI臭スコアを算出。3つの人間化技法 (バランスを崩す・客観を崩す・論理を崩す)でリライトを実行する。 Note: 検出スクリプトは日本語テキスト専用。英語テキストの場合はClaude自身がreferences/を参照して分析・リライトする。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate audit-ready internal control design documents from As-Is business process inventories. Produces control IDs, assertion mappings, procedures, SoD analysis, KPIs, materiality thresholds, and implementation roadmaps. Use when building internal controls for new audit engagements, SOX/J-SOX compliance, or process improvement initiatives.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Review audit-related documents (control design documents, bottleneck analyses, requirements definitions, etc.) for quality, scoring them 0-100 with a severity-rated findings list. Use when reviewing audit documents, checking control design quality, or verifying cross-document consistency. Supports documents governed by US GAAP, IFRS, or J-GAAP.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.