{"slug":"guoliang1114-boop-ai-strategy-report","name":"ai-strategy-report","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.","long_description":"---\nname: ai-strategy-report\nargument-hint: \"[company name] [industry] [focus area] e.g. ABC Manufacturing, Auto Parts, Cost Reduction\"\ndescription: \"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.\"\nallowed-tools: \"Read Write Bash\"\nmetadata:\n  version: 1.0.0\n  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。\"\n  category: digital-transformation\n---\n\n# AI Strategy Report\n\n## Overview\n\nAI 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.\n\n**Key Features:**\n- **Complete strategic framework**: 15-slide structure covering the full AI transformation journey\n- **Data-driven analysis**: Digital maturity assessment and data readiness evaluation\n- **Prioritization matrix**: 2×2 value-feasibility matrix for AI opportunities\n- **Implementation roadmap**: 3-phase timeline (0-6m/6-18m/18-36m)\n- **Financial projections**: Investment breakdown and ROI calculations\n- **Risk assessment**: Technical, organizational, and compliance risks with mitigations\n\n**Output Format:** PowerPoint (.pptx) with professional styling and structured content.\n\n## When to Use This Skill\n\nThis skill should be used when:\n- Developing AI transformation strategy for enterprises\n- Evaluating AI opportunities and prioritizing use cases\n- Creating implementation roadmaps for digital transformation\n- Building business cases for AI investments\n- Assessing organizational readiness for AI adoption\n- Planning talent and capability building for AI teams\n- Preparing board-level presentations on AI strategy\n- Supporting M&A due diligence for AI capabilities\n- Planning cloud migration and data infrastructure\n- Creating vendor selection criteria for AI platforms\n\n## Report Structure (15 Slides)\n\n```\nSlide 1:  Cover Page\nSlide 2:  Executive Summary\nSlide 3-4: Current State Assessment\nSlide 5-6: AI Opportunity Map (2×2 Matrix)\nSlide 7-9: Top 3 Use Cases Deep Dive\nSlide 10-11: Implementation Roadmap (3 Phases)\nSlide 12: Investment & ROI Analysis\nSlide 13: Organizational Capabilities\nSlide 14: Risk Assessment & Mitigation\nSlide 15: Next Steps & Action Items\n```\n\n## Input Requirements\n\n### Required Information\n\n```markdown\n**Company Basics**\n- Company Name: [Name]\n- Industry: [Industry Sector]\n- Company Size: [Employees] / [Revenue]\n- Digital Maturity: [Beginner/Intermediate/Advanced]\n\n**Business Context**\n- Core Business: [Description]\n- Key Challenges: [List 2-3 major pain points]\n- AI Objectives: [What problems to solve with AI]\n\n**Strategic Priorities** (Select all that apply)\n- [ ] Cost Reduction & Efficiency\n- [ ] Revenue Growth\n- [ ] Customer Experience\n- [ ] Innovation & New Products\n- [ ] Risk Management\n```\n\n### Optional Information\n\n```markdown\n**Data Assets**\n- Existing data types: [Customer/Operational/IoT/etc]\n- Data history: [Years of historical data]\n\n**Technology Stack**\n- Cloud platform: [AWS/Azure/GCP/Alibaba/etc]\n- Existing systems: [ERP/CRM/MES/etc]\n\n**Constraints**\n- Budget range: [Amount]\n- Timeline: [Expected delivery]\n- Special restrictions: [Data privacy/etc]\n```\n\n## Workflow\n\n### Phase 1: Analysis (Internal)\n\nAnalyze the input information and determine:\n1. **Digital maturity level** based on described systems and processes\n2. **Data readiness** for each potential AI use case\n3. **Priority ranking** of AI opportunities (value × feasibility)\n4. **Implementation complexity** for each phase\n\n### Phase 2: Content Generation\n\nGenerate structured content for each slide:\n\n**Slide 2 - Executive Summary:**\n- 3-5 key conclusions\n- Investment overview\n- Expected ROI\n- Critical milestones\n\n**Slide 5-6 - AI Opportunity Map:**\nCreate a 2×2 matrix categorizing opportunities:\n- **Quick Wins** (High Value, High Feasibility): Immediate start\n- **Strategic Bets** (High Value, Low Feasibility): Long-term planning\n- **Low Priority** (Low Value): Defer or discard\n\n**Slide 10-11 - Roadmap:**\nDefine 3 phases:\n- **Phase 1 (0-6 months)**: Foundation + Pilot\n- **Phase 2 (6-18 months)**: Scale + Capability Building\n- **Phase 3 (18-36 months)**: Optimization + Innovation\n\n### Phase 3: Tool Execution\n\nCall `generate_ppt_from_skill` tool with structured slide content:\n\n```json\n{\n  \"skill_name\": \"ai-strategy-report\",\n  \"title\": \"[Company] AI Strategy Report\",\n  \"subtitle\": \"Digital Transformation Roadmap\",\n  \"slides\": [\n    {\n      \"type\": \"title\",\n      \"title\": \"Cover Title\",\n      \"content\": \"Subtitle\"\n    },\n    {\n      \"type\": \"content\",\n      \"title\": \"Slide Title\",\n      \"content\": \"Bullet points and analysis\"\n    },\n    {\n      \"type\": \"two_column\",\n      \"title\": \"Comparison Slide\",\n      \"left_content\": \"Current State\",\n      \"right_content\": \"Future State\"\n    }\n  ]\n}\n```\n\n### Phase 4: Optional Data Export\n\nIf user needs editable data, call `save_json`:\n\n```json\n{\n  \"filename\": \"[Company]_AI_Strategy_Data\",\n  \"data\": {\n    \"scenarios\": [...],\n    \"roadmap\": {...},\n    \"financial\": {...}\n  }\n}\n```\n\n## Tool Configuration\n\n### Tool 1: generate_ppt_from_skill\n\n**Purpose**: Generate PowerPoint using the KPMG template bundled with this skill\n\n**When to Call**: After content generation is complete, always call this tool to create the deliverable.\n\n**Parameters**:\n```json\n{\n  \"skill_name\": \"ai-strategy-report\",\n  \"title\": \"Company AI Strategy Report\",\n  \"subtitle\": \"Digital Transformation Roadmap (2024-2027)\",\n  \"slides\": [\n    {\n      \"type\": \"title|content|two_column\",\n      \"title\": \"Action-oriented title (verb-first)\",\n      \"content\": \"Markdown formatted content with bullet points\",\n      \"left_content\": \"For two-column layout\",\n      \"right_content\": \"For two-column layout\"\n    }\n  ]\n}\n```\n\n**Content Guidelines**:\n- Use action-oriented titles (\"Drive Efficiency Through AI-Powered Quality Control\")\n- Format with Markdown: `- Bullet points`, `**Bold highlights**`\n- Keep bullet points concise (1-2 lines each)\n- Use color coding: 🔴 High Risk, 🟡 Medium Risk, 🟢 Low Risk\n\n### Tool 2: save_json (Optional)\n\n**Purpose**: Export structured data for further editing or integration\n\n**When to Call**: When user explicitly asks for editable data or mentions integrating with other systems.\n\n**Parameters**:\n```json\n{\n  \"filename\": \"Company_AI_Strategy_Data\",\n  \"data\": {\n    \"company\": \"Company Name\",\n    \"industry\": \"Industry Sector\", \n    \"scenarios\": [...],\n    \"roadmap\": {...},\n    \"financial\": {...},\n    \"organization\": {...},\n    \"risks\": [...]\n  }\n}\n```\n\n## Quality Standards\n\n### Content Requirements\n\n- **Specificity**: All recommendations must be specific to the company's industry and stated challenges\n- **Quantification**: Include estimated savings/returns where possible (mark as \"estimated\" if not precise)\n- **Feasibility**: Only recommend AI use cases that match the described data availability\n- **Actionability**: Every recommendation must have clear next steps\n\n### Slide Content Standards\n\n**Executive Summary (Slide 2)**:\n- Max 5 conclusions\n- Include 1-line ROI summary\n- List 3 critical milestones\n\n**Opportunity Map (Slide 5-6)**:\n- Minimum 4 opportunities mapped\n- Clear rationale for each quadrant placement\n- Prioritization within each quadrant\n\n**Use Case Deep Dive (Slide 7-9)**:\nFor each of top 3 use cases:\n- Business pain point (2-3 sentences)\n- AI solution approach (high-level)\n- Quantified expected benefit\n- Implementation complexity rating\n\n**Roadmap (Slide 10-11)**:\n- Each phase has clear deliverables\n- Logical dependencies between phases\n- Resource requirements specified\n\n**ROI Analysis (Slide 12)**:\n- 3-year investment breakdown\n- Year-by-year savings projection\n- Payback period calculation\n- Key assumptions listed\n\n### Prohibited Content\n\n- Do NOT specify specific vendors (e.g., \"use AWS SageMaker\")\n- Do NOT make unrealistic claims (e.g., \"100% automation\")\n- Do NOT ignore stated constraints (e.g., data privacy requirements)\n- Do NOT provide implementation details beyond strategic level\n\n## Example Output\n\nSee `examples/manufacturing_example.md` for a complete input-output example.\n\n## Best Practices\n\n### For High-Quality Output\n\n1. **Encourage detailed input**: If user input is vague, ask clarifying questions\n2. **Be conservative with estimates**: Better to under-promise than over-promise\n3. **Highlight risks explicitly**: Don't hide implementation challenges\n4. **Emphasize data readiness**: Make clear when data preparation is needed\n5. **Provide alternatives**: Offer options when ideal path isn't feasible\n\n### Industry Customization\n\n**Manufacturing**:\n- Focus: Predictive maintenance, quality control, supply chain\n- Key metrics: OEE, defect rates, inventory turnover\n\n**Retail/E-commerce**:\n- Focus: Demand forecasting, personalization, pricing\n- Key metrics: Conversion rate, customer LTV, inventory accuracy\n\n**Financial Services**:\n- Focus: Risk modeling, fraud detection, customer service\n- Key metrics: False positive rate, processing time, compliance score\n\n**Healthcare**:\n- Focus: Diagnostic imaging, patient triage, resource optimization\n- Key metrics: Diagnostic accuracy, wait times, resource utilization\n\n## Dependencies\n\n### Required Backend Tools\n- `generate_ppt` - python-pptx 1.0.2\n- `save_json` - Python built-in json\n\n### System Requirements\n- AriaAI Backend >= 1.0.0\n- Function Calling support enabled\n\n## Version History\n\n| Version | Date | Changes |\n|---------|------|---------|\n| 1.0.0 | 2024-03-25 | Initial release |\n\n## Maintenance\n\n- **Maintainer**: AriaAI Team\n- **Update Cycle**: Quarterly review\n- **Feedback**: Submit via Issue or contact admin\n\n## Capability Upgrade\n\n### Mode Selection\n\n- **Quick**: 输出 AI 机会清单、优先级和 90 天试点建议。\n- **Standard**: 输出完整 AI 战略报告、用例组合、路线图、投资和组织能力建议。\n- **Deep**: 结合客户行业、数据资产、系统架构、组织成熟度、知识库案例和历史项目记忆，形成董事会级 AI 转型方案。\n\n### AI Portfolio Logic\n\n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。\n\n### Quality Gates\n\n- [ ] AI 用例与客户业务痛点和数据资产匹配。\n- [ ] 投资收益有假设、区间和验证方式。\n- [ ] 路线图区分数据基础、模型能力、业务流程和组织变革。\n- [ ] 风险覆盖数据隐私、模型准确性、合规、采纳和运维。\n- [ ] PPT 输出前已有清晰 storyline，不直接堆幻灯片。\n\n## Consulting Excellence Layer\n\n### AI Value Pool Logic\n\nAI strategy must quantify value pools before listing use cases. Organize value into:\n\n| Value Pool | Typical Levers | Evidence Needed |\n|------------|----------------|-----------------|\n| Revenue growth | Conversion, pricing, cross-sell, retention | Funnel, customer, sales data |\n| Cost reduction | Automation, workload reduction, rework reduction | Process volume, FTE, cycle time |\n| Risk control | Fraud, compliance, quality, safety | Incidents, exceptions, loss data |\n| Decision quality | Forecasting, planning, prioritization | Historical decisions and outcomes |\n| Knowledge leverage | Proposal reuse, case retrieval, expert assistance | Document corpus and usage patterns |\n\n### Use Case Investment Committee\n\nEvery AI use case must be described as an investment case:\n\n- Business problem.\n- User and workflow.\n- Data required.\n- Model approach.\n- Integration point.\n- Human review point.\n- Benefit hypothesis.\n- Risk and control.\n- Pilot metric.\n- Scale condition.\n\n### Build / Buy / Partner Decision\n\n| Condition | Recommended Path |\n|-----------|------------------|\n| Commodity capability, low differentiation | Buy SaaS or API |\n| Proprietary data and workflow advantage | Build on internal data |\n| Need speed plus domain expertise | Partner / co-build |\n| High compliance or sensitive data | Private deployment or controlled harness |\n\n### AI Governance Minimum\n\nDeep AI strategy must include:\n\n- Model ownership and approval.\n- Data access and permission rules.\n- Prompt and output review policy.\n- Evaluation metrics and regression ","tagline":"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.","category":"design-creative","tags":["agent-skill"],"author":"guoliang1114-boop","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"guoliang1114-boop/AriaAI","creatorName":"guoliang1114-boop","creatorUrl":"https://github.com/guoliang1114-boop","sourceUrl":"https://github.com/guoliang1114-boop/AriaAI/tree/main/skills/ai-strategy-report","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/guoliang1114-boop-ai-strategy-report#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":37,"forks":2,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":34.01},"quality":{"score":62,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"37","tone":"neutral"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["Low GitHub adoption signal","SKILL.md excerpt is truncated; full documentation may lack some details, but the provided content is clear and structured."]},"trust":{"version":"trust-score-v5","score":57,"base_score":65,"outcome_confidence":0,"tier":"risk","label":"Do not auto-install","summary":"Trust Score v5 found insufficient evidence for agent installation. 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Analyzes company's digital readiness, identifies high-value AI use cases, creates implementation roadmaps, and provides ROI projections. 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Analyzes company's digital readiness, identifies high-value AI use cases, creates implementation roadmaps, and provides ROI projections. Designed for consulting firm quality deliverables. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"guoliang1114-boop-ai-strategy-report\",\"task\":\"Install ai-strategy-report\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"ai-strategy-report\" as a Claude Code skill from https://github.com/guoliang1114-boop/AriaAI/tree/main/skills/ai-strategy-report. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 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. 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