Cobrapy

Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.

Run a full McKinsey-level market research and strategy analysis using 12 specialized prompts. USE WHEN: - market research, competitive analysis, business strategy, TAM analysis - customer personas, pricing strategy, go-to-market plan, financial modeling - risk assessment, SWOT analysis, market entry strategy, comprehensive business analysis - بحث سوق, تحليل استراتيجي, تحليل منافسين, دراسة جدوى, خطة عمل - "حلل لي السوق" for business entry or investment decisions DON'T USE WHEN: - User wants a quick opinion on a business idea → just answer directly - Product recommendations or shopping → use personal-shopper - Content strategy for social media → use viral-equation - Simple web search for company info → use web_search directly - Comparing products to buy → use personal-shopper - Analyzing a single competitor briefly → just answer directly EDGE CASES: - "حلل لي السوق" with a specific product to buy → personal-shopper (not this skill) - "حلل لي السوق" for business entry → this skill - "وش أ

Expert product management guidance for day-to-day PM work. Use when creating roadmaps, prioritizing features, managing stakeholders, planning sprints, grooming backlogs, scoping features, planning releases, defining OKRs, managing technical debt, or coordinating go-to-market. Covers RICE, ICE, MoSCoW frameworks, cross-functional collaboration, and product metrics.

Expert go-to-market strategist for SaaS applications. Use when planning GTM strategy, content strategy, social media strategy, personal brand development, business brand positioning, or channel selection. Covers LinkedIn, X/Twitter, TikTok, YouTube, and multi-channel distribution. Use for launch planning, audience building, founder-led marketing, and growth strategy.

Transform your go-to-market strategy using Wes Bush's PLG framework to make your product the primary driver of customer acquisition, activation, and retention Use when: **Launching a SaaS product** and deciding between free trial, freemium, or sales-led models; **Reducing customer acquisition costs** by letting the product do the selling; **Designing user onboarding** that drives users to value quickly; **Converting free users to paid** through product-qualified leads (PQLs); **Fighting churn...

errore is Go-style error handling for TypeScript: return errors instead of throwing them. Instead of Go's two-value tuple (val, err), functions return a single Error | T union. Instead of checking err != nil, you check instanceof Error. TypeScript narrows the type automatically — forget to check and your code won't compile. No wrapper types, no Result monads, just unions and instanceof. The errore npm package provides helper utilities (createTaggedError, tryAsync, matchError, findCause, partition) but the core pattern is zero-dependency. Benefits: every error is visible in the return type, callers can't forget to handle errors, flat control flow with early returns instead of nested try-catch, and errors carry typed properties with cause chains for debugging. ALWAYS read this skill when a repo uses the errore "errors as values" convention (errore.org). ALWAYS use errore for new TypeScript projects.