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Found 2,103 Skills
Calculate, understand, and improve the unit economics of a solopreneur business. Use when figuring out if the business is actually profitable per customer, when CAC or LTV numbers are needed, when evaluating whether a pricing or acquisition strategy is sustainable, or when making data-driven decisions about marketing spend and pricing. Covers CAC, LTV, payback period, contribution margin, and the feedback loops between them. Trigger on "unit economics", "CAC", "customer acquisition cost", "LTV", "lifetime value", "payback period", "is my business profitable", "contribution margin", "am I making money per customer", "should I spend more on marketing".
Use when asked to compare multiple ML models, perform cross-validation, evaluate metrics, or select the best model for a classification/regression task.
Grand Slam Offer creation framework based on Alex Hormozi's "$100M Offers". Use when you need to: (1) create irresistible offers using the Value Equation, (2) design Grand Slam Offers with bonuses, guarantees, and scarcity, (3) find your starving crowd and ideal market, (4) implement value-based pricing with 10:1 value-to-price ratio, (5) stack bonuses that increase perceived value, (6) design risk-reversing guarantees, (7) apply ethical scarcity and urgency, (8) name offers using the MAGIC formula.
Use when developing business strategy (market entry, product launch, geographic expansion, M&A, turnaround), conducting competitive analysis (profiling competitors, assessing competitive threats, Porter's 5 Forces, identifying differentiation), applying strategic frameworks (Good Strategy kernel with diagnosis/guiding policy/coherent actions, SWOT, Blue Ocean Strategy, Playing to Win where-to-play/how-to-win, Value Chain Analysis, BCG Matrix), making strategic decisions under constraints (build vs buy, pricing strategy, market positioning, business model choices), planning strategic initiatives (annual planning, OKRs, roadmaps), evaluating competitive positioning (moats, sustainable advantages, differentiation vs cost leadership), or when user mentions "strategy", "competitive analysis", "Porter's 5 Forces", "SWOT", "market positioning", "strategic planning", "competitive landscape", or "strategic frameworks".
Use when designing databases for data-heavy applications, making schema decisions for performance, choosing between normalization and denormalization, selecting storage/indexing strategies, planning for scale, or evaluating OLTP vs OLAP trade-offs. Also use when encountering N+1 queries, ORM issues, or concurrency problems.
Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.
Document chunking implementations and benchmarking tools for RAG pipelines including fixed-size, semantic, recursive, and sentence-based strategies. Use when implementing document processing, optimizing chunk sizes, comparing chunking approaches, benchmarking retrieval performance, or when user mentions chunking, text splitting, document segmentation, RAG optimization, or chunk evaluation.
Thinking Partner - Help you sort out the situation from chaos, lock in core problems, break down bottlenecks, co-create solutions, and implement actions
Iteratively write academic documents (paper sections, research proposals, technical documents) with quality improvement loop. Uses academic-planner for structure design and academic-reviewer for quality evaluation. Ensures no hallucinations through fact verification.
Guides technical evaluation of code review feedback before implementation. Use when receiving PR comments, review suggestions, GitHub feedback, or when asked to address reviewer feedback. Emphasizes verification and reasoned pushback over blind agreement.
MixSeek Agent Skills collection for AI coding assistants. Provides workspace management, team configuration, evaluation setup, and debugging tools for MixSeek-Core.
Run SEO and GEO audits on URLs covering technical SEO, content quality, E-E-A-T signals, and AI citation readiness. Use when evaluating search performance or diagnosing ranking issues.