flowgram.ai
Development guide for creating custom nodes in FlowGram.ai workflows, supporting both auto-generated simple forms and complex custom UI components.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
483 skills found
Development guide for creating custom nodes in FlowGram.ai workflows, supporting both auto-generated simple forms and complex custom UI components.
Orchestrate multi-agent AI swarms using the ClawTeam CLI to automate parallel task execution, dependency management, and team collaboration with git worktree isolation and tmux support.
Access Y Combinator’s library of 443+ startup resources for expert advice on fundraising, co-founders, product development, growth, and scaling your business.
Comprehensive Python healthcare AI toolkit for clinical data processing, medical coding translation, and developing deep learning models like RETAIN and Transformers for EHR, physiological signals, and clinical prediction tasks.
A structured file-based system for tracking todos, managing technical debt, and coordinating code review workflows directly within your repository.
Provides predefined design system references for UI reviews, including Material Design 3, Apple HIG, Tailwind UI, Ant Design, and Shadcn/ui.
Implement production-grade data quality validation using Great Expectations, dbt tests, and data contracts to ensure reliable pipelines.
Architectural guidance and pattern implementation for Java Spring Boot backends, covering REST API design, JPA, caching, async processing, and logging.
Map stakeholders on a Power/Interest grid, define tailored communication strategies, and generate a comprehensive engagement plan for product initiatives and team alignment.
Test-driven development (TDD) workflow for Spring Boot applications using JUnit 5, Mockito, MockMvc, and Testcontainers.
Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files to serve as a source of truth for AI-driven UI generation.
Create and update comprehensive GitHub issues with full technical context to prevent requirement loss and reduce implementation friction.