菜单
Generate comprehensive AI strategy reports (15+ slides) in PowerPoint format. Analyzes company's digital readiness, identifies high-value AI use cases, creates implementation roadmaps, and provides ROI projections. Designed for consulting firm quality deliverables.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/guoliang1114-boop/AriaAI --skill ai-strategy-report命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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| name | ai-strategy-report |
| argument-hint | [company name] [industry] [focus area] e.g. ABC Manufacturing, Auto Parts, Cost Reduction |
| description | Generate comprehensive AI strategy reports (15+ slides) in PowerPoint format. Analyzes company's digital readiness, identifies high-value AI use cases, creates implementation roadmaps, and provides ROI projections. Designed for consulting firm quality deliverables. |
| allowed-tools | Read Write Bash |
| metadata | {"version":"1.0.0","description_zh":"生成完整的AI战略报告PPT（15+页），分析企业数字化现状、识别高价值AI场景、制定实施路线图、提供ROI预测。咨询公司级别的交付物。","category":"digital-transformation"} |
| version | 1.0.0 |
| domain | tech |
| last_updated | 2026-08-26 |
| status | stable |
AI Strategy Report is a comprehensive strategic document that analyzes a company's AI readiness, identifies high-value use cases, and creates a practical implementation roadmap. This skill generates professional-grade PowerPoint presentations of 15+ slides using the KPMG consulting template for consistent, professional formatting.
Key Features:
Output Format: PowerPoint (.pptx) with professional styling and structured content.
This skill should be used when:
Slide 1: Cover Page
Slide 2: Executive Summary
Slide 3-4: Current State Assessment
Slide 5-6: AI Opportunity Map (2×2 Matrix)
Slide 7-9: Top 3 Use Cases Deep Dive
Slide 10-11: Implementation Roadmap (3 Phases)
Slide 12: Investment & ROI Analysis
Slide 13: Organizational Capabilities
Slide 14: Risk Assessment & Mitigation
Slide 15: Next Steps & Action Items
**Company Basics**
- Company Name: [Name]
- Industry: [Industry Sector]
- Company Size: [Employees] / [Revenue]
- Digital Maturity: [Beginner/Intermediate/Advanced]
Core Business: [Description]
Key Challenges: [List 2-3 major pain points]
AI Objectives: [What problems to solve with AI]
(Select all that apply)
[ ] Cost Reduction & Efficiency
[ ] Revenue Growth
[ ] Customer Experience
[ ] Innovation & New Products
[ ] Risk Management
**Data Assets**
- Existing data types: [Customer/Operational/IoT/etc]
- Data history: [Years of historical data]
**Technology Stack**
- Cloud platform: [AWS/Azure/GCP/Alibaba/etc]
- Existing systems: [ERP/CRM/MES/etc]
**Constraints**
- Budget range: [Amount]
- Timeline: [Expected delivery]
- Special restrictions: [Data privacy/etc]
Analyze the input information and determine:
Generate structured content for each slide:
Slide 2 - Executive Summary:
Slide 5-6 - AI Opportunity Map: Create a 2×2 matrix categorizing opportunities:
Slide 10-11 - Roadmap: Define 3 phases:
Call generate_ppt_from_skill tool with structured slide content:
{
"skill_name": "ai-strategy-report",
"title": "[Company] AI Strategy Report",
"subtitle": "Digital Transformation Roadmap",
"slides": [
{
"type": "title",
"title": "Cover Title",
"content": "Subtitle"
},
{
"type": "content",
"title": "Slide Title",
"content": "Bullet points and analysis"
},
{
"type": "two_column",
"title": "Comparison Slide",
"left_content": "Current State",
"right_content": "Future State"
}
]
}
If user needs editable data, call save_json:
{
"filename": "[Company]_AI_Strategy_Data",
"data": {
"scenarios": [...],
"roadmap": {...},
"financial": {...}
}
}
Purpose: Generate PowerPoint using the KPMG template bundled with this skill
When to Call: After content generation is complete, always call this tool to create the deliverable.
Parameters:
{
"skill_name": "ai-strategy-report",
"title": "Company AI Strategy Report",
"subtitle": "Digital Transformation Roadmap (2024-2027)",
"slides": [
{
"type": "title|content|two_column",
"title": "Action-oriented title (verb-first)",
"content": "Markdown formatted content with bullet points",
"left_content": "For two-column layout",
"right_content": "For two-column layout"
}
]
}
Content Guidelines:
- Bullet points, **Bold highlights**Purpose: Export structured data for further editing or integration
When to Call: When user explicitly asks for editable data or mentions integrating with other systems.
Parameters:
{
"filename": "Company_AI_Strategy_Data",
"data": {
"company": "Company Name",
"industry": "Industry Sector",
"scenarios": [...],
"roadmap": {...},
"financial": {...},
"organization": {...},
"risks": [...]
}
}
Executive Summary (Slide 2):
Opportunity Map (Slide 5-6):
Use Case Deep Dive (Slide 7-9): For each of top 3 use cases:
Roadmap (Slide 10-11):
ROI Analysis (Slide 12):
See examples/manufacturing_example.md for a complete input-output example.
Manufacturing:
Retail/E-commerce:
Financial Services:
Healthcare:
generate_ppt - python-pptx 1.0.2save_json - Python built-in json| Version | Date | Changes |
|---|---|---|
| 1.0.0 | 2024-03-25 | Initial release |
每个 AI 用例必须同时评估：业务价值、数据可得性、技术可行性、组织准备度、风险合规、落地周期和可复制性。优先级不能只按“看起来先进”排序。
AI strategy must quantify value pools before listing use cases. Organize value into:
| Value Pool | Typical Levers | Evidence Needed |
|---|---|---|
| Revenue growth | Conversion, pricing, cross-sell, retention | Funnel, customer, sales data |
| Cost reduction | Automation, workload reduction, rework reduction | Process volume, FTE, cycle time |
| Risk control | Fraud, compliance, quality, safety | Incidents, exceptions, loss data |
| Decision quality | Forecasting, planning, prioritization | Historical decisions and outcomes |
| Knowledge leverage | Proposal reuse, case retrieval, expert assistance | Document corpus and usage patterns |
Every AI use case must be described as an investment case:
| Condition | Recommended Path |
|---|---|
| Commodity capability, low differentiation | Buy SaaS or API |
| Proprietary data and workflow advantage | Build on internal data |
| Need speed plus domain expertise | Partner / co-build |
| High compliance or sensitive data | Private deployment or controlled harness |
Deep AI strategy must include:
Each pilot must be small enough to run in 8-12 weeks and strong enough to prove business value. Define baseline, target, sample users, process integration, evaluation method, and scale/no-scale decision gate.
| Deliverable | When to use | Minimum content | Format |
|---|---|---|---|
| AI readiness assessment | 判断企业是否适合推进 AI | 数据、流程、系统、人才、治理、风险成熟度 | Markdown / PPT |
| AI value pool map | 寻找高价值机会 | 收入、成本、风险、决策、知识价值池和证据 | PPT / Excel |
| AI use-case portfolio | 选择 AI 场景 | 用例、用户、数据、模型、价值、风险、优先级 | Excel / PPT |
| Pilot charter | 启动试点 | 目标、范围、用户、数据、指标、时间、评估方式 | Markdown / Word |
| Data readiness checklist | 试点前准备 | 数据源、权限、质量、历史长度、敏感等级、缺口 | Markdown / Excel |
| AI governance framework | 管理模型风险 | 角色、审批、评估、HITL、回滚、供应商和成本治理 | Word / PPT |
| AI transformation roadmap | 进入规模化建设 | 阶段、能力、平台、流程、组织、投资、KPI | PPT |
| Board AI strategy deck | 董事会或高管汇报 | AI 战略命题、用例组合、投资收益、治理风险、90 天行动 | PPT |
