Total 42,330 skills
Showing 12 of 42330 skills
Pytest testing patterns for Python. Trigger: When writing Python tests - fixtures, mocking, markers.
Audit test coverage for code changes. Identifies untested logic and provides specific test recommendations. Read-only analysis. Use before PR or after implementation. Triggers: review coverage, check tests, test coverage, are tests adequate.
Social media: content strategy, community building, organic growth.
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning. Calculate retention rates, build survival curves, predict churn risk, and generate retention optimization strategies. Use when working with user subscription data, membership information, or when user mentions retention, churn, survival analysis, or customer lifetime value.
Expert cloud architecture covering AWS, GCP, Azure, multi-cloud strategy, cost optimization, and cloud-native design.
n8n workflow automation patterns and API integration. This skill should be used when creating n8n workflows, using webhooks, managing workflows via REST API, or integrating n8n with MCP servers. Covers workflow JSON structure, node patterns, and automation best practices.
Audit code for testability design patterns. Identifies business logic entangled with IO, hard-coded dependencies, and mocking friction. Suggests functional core / imperative shell separation. Read-only analysis. Triggers: review testability, testable code, mocking issues, dependency injection.
Herramienta automatizada para actualizar el archivo CHANGELOG.md basándose en el último commit realizado. Usa esta skill inmediatamente después de confirmar un commit para mantener el historial de cambios al día. Se activa con 'actualizar changelog', 'registrar cambio', 'update changelog', o automáticamente tras un commit exitoso cuando el router lo indique.
Define and run Eve pipelines and workflows via manifest and CLI. Use when wiring build, release, deploy flows or invoking workflow jobs.
Comprehensive AB testing analysis tool that supports experimental design, statistical testing, user segmentation analysis, and visual report generation. It is used to analyze AB test results such as product revisions, marketing campaigns, and function optimizations, providing statistical significance testing and in-depth insights.
Optimize Amazon KDP book listings for maximum conversion and discoverability. Use when creating or improving book titles, subtitles, descriptions, backend keywords, A+ content, author bios, or any Amazon product listing element. Triggers on requests to write book descriptions, optimize Amazon listings, improve book metadata, or enhance KDP product pages.
Validates all code changes before committing by running format, lint, type, and unit test checks. Use after making backend (Python) or frontend (TypeScript) changes, before committing or finishing a work session.