Découvrez les skills databases productivity tools, comparez leurs dépôts et consultez leurs instructions.
Import, export, and manage Postman collections. Use when working with Postman collections, importing OpenAPI specs, exporting collections, or when user mentions Postman import, collection management, API collec...
Analyze OpenAPI and Postman schemas for MCP tool generation. Use when analyzing API specifications, extracting endpoint information, generating tool signatures, or when user mentions OpenAPI, Swagger, API schem...
DigitalOcean App Platform deployment using doctl CLI for containerized applications, web services, static sites, and databases. Includes app spec generation, deployment orchestration, environment management, do...
Tracks iteration progress and state management. Use when starting, checkpointing, or ending iteration cycles, or when user mentions iteration tracking, progress monitoring, or iteration state.
Run and analyze Newman (Postman CLI) tests. Use when running API tests, validating Postman collections, testing HTTP endpoints, or when user mentions Newman, Postman tests, API validation.
Platform-specific deployment scripts and configurations. Use when deploying applications, configuring cloud platforms, validating deployment environments, setting up CI/CD pipelines, or when user mentions Verce...
Analyzes user behavior and preferences from social media posts within a specific time period. This skill should be used when analyzing user data for personalized emotional companionship and behavior patterns.
Guide for creating Claude Code slash commands. Use when the user wants to create a new slash command, custom prompt shortcut, or workflow automation command for Claude Code. Helps define command structure, fron...
Create distinctive, production-grade frontend interfaces with high design quality. Use when building web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboa...
Create and improve Claude Code Skills following official best practices. Use when creating a skill, improving skill descriptions, fixing skill activation issues, or structuring skill directories.
Expert customer success covering onboarding, adoption, retention, expansion, health scoring, and customer advocacy.
Expert ML engineering covering model development, MLOps, feature engineering, model deployment, and production ML systems.
Expert product management covering strategy, roadmapping, user research, prioritization frameworks, and stakeholder management.
Expert demand generation covering lead generation, campaign management, funnel optimization, marketing automation, and pipeline contribution.
Expert quality assurance covering test strategy, automation, performance testing, and quality engineering.
Expert analytics engineering covering data modeling, dbt development, data transformation, and semantic layer management.
Expert data science covering machine learning, statistical modeling, experimentation, predictive analytics, and advanced analytics.
Expert product design covering UI/UX design, design systems, prototyping, user research, and design thinking.
Expert data analysis covering SQL, visualization, statistical analysis, business intelligence, and data storytelling.
Expert delivery management covering continuous delivery, release management, deployment coordination, and service operations.
Expert sales execution covering pipeline management, discovery, demos, negotiation, and deal closing.
Expert full-stack development covering frontend frameworks, backend services, databases, APIs, and deployment for modern web applications.
Expert sales operations covering CRM management, sales analytics, territory planning, compensation design, and process optimization.
Expert data engineering covering data pipelines, ETL/ELT, data warehousing, streaming, and data quality.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.