Marketplace
SkillHub Club catalog feed.
Public marketplace mirror sourced from skillhub.club. This source view keeps the new outcome-first browsing model while filtering server-side to a single upstream feed.
startup-business-models
This skill provides a structured framework for designing and analyzing startup business models, focusing on revenue models, unit economics, and pricing strategies. It includes decision trees, model comparisons, and practical templates for calculations. The content is well-organized with clear guidance on when to use each component.
senior-data-scientist
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
building-rag-systems
This skill provides detailed implementation patterns for building RAG systems using LangChain and Qdrant. It covers 8 distinct architectures, semantic chunking strategies, and includes production-ready code for ingestion pipelines, search, and FastAPI deployment. The documentation includes concrete examples for change detection and context expansion.
senior-architect
This skill provides three Python scripts for software architecture tasks: generating diagrams, analyzing project structure, and examining dependencies. It includes detailed reference docs on patterns, workflows, and tech decisions for modern web/mobile stacks. Useful for planning systems with React, Node.js, databases, and cloud services.
api-field-descriptions
Provides specific patterns for documenting API field descriptions with clear templates for different data types. Includes table formats, required/optional indicators, and practical examples for UUIDs, strings, enums, booleans, and other common field types.
statistical-analysis
Provides structured guidance for common statistical analyses including t-tests, ANOVA, regression, and Bayesian methods. Includes assumption checking workflows, APA reporting templates, and decision trees for test selection. Focuses on academic research applications with practical examples.
architecture-patterns
Provides concrete implementation examples for Clean Architecture, Hexagonal Architecture, and Domain-Driven Design patterns in Python. Includes directory structures, code samples for entities, use cases, adapters, and practical guidance on when to apply each pattern.
angular-migration
Provides detailed guidance for migrating AngularJS applications to Angular using hybrid mode. Includes code examples for component conversion, service migration, dependency injection changes, routing updates, and forms migration. Offers three migration strategies with timelines and common pitfalls to avoid.
iterating
A well-designed methodology for maintaining context across multiple Claude sessions with clear checkpoint patterns, environment detection, and structured work logging for iterative development.
traceability-check
A comprehensive tool for verifying bidirectional traceability across requirements, code, and tests with detailed gap analysis and reporting capabilities.
template-engine
This skill provides a template engine for loading, validating, and populating templates across frameworks. It searches for templates in multiple locations, parses placeholders and conditional logic, gathers inputs from context or prompts, and saves artifacts with metadata. It supports Handlebars-like syntax and integrates with other skills for artifact tracking.
flow-attention-refresh
A protocol skill that prevents LLM context drift by forcing re-reading of core goal documents at key workflow moments like task starts and error recovery. It addresses the 'lost in the middle' problem in long conversations.
swarm
Enables autonomous multi-hour coding sessions by orchestrating parallel Claude Code workers with behavioral protocols. Manages complex refactors and feature development through worker coordination, dependency tracking, and persistent state across context compactions. Provides protocol-based governance to enforce security and behavioral constraints during automated coding tasks.
neon-drizzle
A comprehensive and well-structured skill for setting up Drizzle ORM with Neon databases, featuring excellent context detection, multiple guides, and practical code generation rules.
ui-first-builder
A highly structured and opinionated skill for generating production-ready UI components and pages using Next.js 14, Tailwind CSS, and shadcn/ui with minimal user input.
smart-routing
An intelligent routing engine for Claude's /toh command that analyzes user intent, calculates confidence scores, checks memory context, and routes requests to appropriate specialized agents. It handles ambiguous inputs, detects IDE environments for parallel execution, and maintains project context through memory files.
theme-consistency
Enforce consistent theming across all prototype mockup screens. Auto-loads theme.yaml, validates CSS variable usage, prevents hardcoded values, and maintains visual consistency session-to-session. Use during /prototype create when generating new screens.
newsletter-events-write
A well-designed skill that generates newsletters from event data using a clear separation between data loading (CLI) and creative formatting (Claude), with excellent documentation and practical workflow.
docstring
Provides detailed guidelines for writing PyTorch docstrings following Sphinx/reStructuredText conventions. Covers structure, formatting, examples, cross-references, and common patterns specific to PyTorch's documentation system. Includes practical templates and checklists for consistency.
Structured Code Review
Multi-stage code review process for thorough and constructive feedback
skill-development
Provides structured guidance for creating Claude Code skills, including templates, validation scripts, and progressive disclosure principles. Focuses on practical implementation with clear examples and workflow steps for skill development.
setup
Automates project initialization by generating standardized workflow files like CLAUDE.md and AGENTS.md. It analyzes project context to adapt setup rules and includes safety checks for permission configurations. The skill prevents accidental overwrites and provides clear user confirmation steps.
flow-nexus-swarm
A comprehensive cloud-based AI swarm orchestration platform with detailed workflow automation capabilities, though dependent on external service and lacking concrete implementation details.
frontend-design
This skill generates distinctive frontend code with strong aesthetic direction, avoiding generic AI design patterns. It provides specific guidelines for typography, color, motion, and layout to create memorable interfaces. The tool emphasizes bold creative choices over safe defaults.