refly
Base ecosystem skill for Refly. Creates, discovers, and runs domain-specific skills, routes user intent to workflows via symlinks, and automates multi-step pipelines via the Refly CLI.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
342 skills found
Base ecosystem skill for Refly. Creates, discovers, and runs domain-specific skills, routes user intent to workflows via symlinks, and automates multi-step pipelines via the Refly CLI.
Proven patterns for extracting, caching, and processing analytics data from GA4 and GSC using MCP servers.
Audit and synchronize the supported LLM model list in assets.py against the authoritative litellm registry.
Repository implementation guide for local-skills-mcp. Provides technical documentation on MCP tool handlers, skill loading, aggregation logic, and project structure for developers.
Generates OpenAPI 3.0/3.1 specs from code (FastAPI, NestJS) or design-first schemas. Includes client SDK generation, mock server setup, and support for Swagger/ReDoc/Stoplight documentation workflows.
Install and manage Codex agent skills from curated lists or GitHub repositories.
Add evlog framework integration: automate wide-event logging across your stack with standardized middleware, build configurations, testing, and documentation.
Official AIRIOT development toolkit for building React applications with TypeScript, shadcn/ui, and integrated real-time platform capabilities.
Migrate existing OpenAI Apps SDK applications to the MCP Apps SDK, including step-by-step guidance, API mapping tables, and CSP investigation workflows.
Build responsive React dashboards using TypeScript, shadcn/ui, TanStack Query, and Supabase. Ideal for creating KPI cards, data tables, charts with Recharts, and admin interfaces for event-studio.
Guidance for writing, reviewing, and refactoring software tests, focusing on integration strategies, condition-based waiting, and professional mocking patterns.
Create and manage recurring tasks and one-off reminders using natural time inputs or cron expressions to keep your AI assistant organized.