productivity▌

Guides go-to-market (GTM) strategy—the blueprint for launching or repositioning a product that aligns product, marketing, sales, and customer success around reaching and winning target customers. Organizations with documented GTM see ~10% higher success rates and 3× revenue growth; ~72% of B2B miss GTM targets in year 1, often due to execution gaps. Use this skill when planning GTM for product launch, new market entry, repositioning, or feature launch.

Orchestrate full-stack feature development across backend, frontend, and infrastructure layers with modern API-first approach:

Guides rebranding execution: domain change, 301 redirects, migration checklist, and communication (social media, internal). Plan for months, not days or weeks. See domain-selection for initial domain choice; domain-architecture for domain structure decisions; multi-domain-brand-seo when multiple domains coexist.

Unified guide for working with MongoDB (document-oriented) and PostgreSQL (relational) databases. Choose the right database for your use case and master both systems.

symfony:cqrs-and-handlers

Skill Development Rules \n When working with files in .claude/skills/ : \n SKILL.md Structure \n \n DO \n \n Keep SKILL.md concise (< 200 lines) \n Include clear \"When to Use\" section \n Provide copy-paste bash commands \n Reference scripts/ for MCP operations \n Add triggers to skill-rules.json \n \n DON'T \n \n Include implementation details in SKILL.md \n Duplicate content across skills \n Create skills without corresponding trigger in skill-rules.json \n Use allowed-tools that aren't

Before investigating issues or verifying deployments, check resource health:

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Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.

TorchDrug is a comprehensive PyTorch-based machine learning toolbox for drug discovery and molecular science. Apply graph neural networks, pre-trained models, and task definitions to molecules, proteins, and biological knowledge graphs, including molecular property prediction, protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis planning, with 40+ curated datasets and 20+ model architectures.