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Found 6 Skills
Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.
Use when implementing on-device AI with Apple's Foundation Models framework — prevents context overflow, blocking UI, wrong model use cases, and manual JSON parsing when @Generable should be used. iOS 26+, macOS 26+, iPadOS 26+, axiom-visionOS 26+
Create GitHub issues with proper formatting, labels, and AI implementation prompts. Use when asked to create an issue, report a bug, or request a feature.
Calculate comprehensive ROI for AI implementation projects. Takes current costs, manual process time, team size, and hourly rates. Generates detailed roi-analysis.md with executive summary, cost-benefit tables, sensitivity analysis, break-even timeline, and comparison scenarios. Use when evaluating AI investments, building business cases, or justifying automation spend.
AI Agent Workflow & Skill Architecture Guide — turn expert work into measurable, reusable agent systems. Covers workflow discovery, skill decomposition, harness design, evaluation, human escalation, observability, cost control, and multi-agent orchestration. Includes a measured marketing-delivery case: 15 people × 3–4 weeks reduced to one strategist + AI in 5 days. By Gingiris.
[Enterprise AI Implementation Consultant] Enterprise AI Implementation Consultant — diagnose whether a company should buy your AI services, buy standard products or custom solutions, how to price, how to handle internal organizational rollout resistance, and where the delivery boundaries are. Use when users say "Can this client get AI implementation?", "How should I charge for this deal?", "The client stated a requirement — can a standard product solve it or does it need customization?", "What if employees don't want to use AI?", "How to do FDE?", "How to discuss enterprise AI consulting?". ｜ Produced by Xiaoye