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AINative-Studio AI Skills

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Browse published AI skills maintained by AINative-Studio. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

8

Repository stars across indexed skills

8

Repository forks

8

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

8 skills

Browse skills

GitHub

zerodb-workflows

AINative-Studio

ZeroDB vector database best practices, semantic search patterns, RLHF workflows, and memory management. Use when working with ZeroDB APIs, vector search, or AI memory systems.

GitHub

testing-patterns

AINative-Studio

TDD/BDD workflows for FastAPI + React stack with pytest, vitest, and integration testing. Use when writing tests, configuring test runners, or implementing test-driven development.

GitHub

mcp-development

AINative-Studio

MCP server development patterns extending Anthropic's mcp-builder with AINative-specific conventions. Use when creating MCP servers, integrating ZeroDB, or building tool-based AI systems.

GitHub

railway-deployment

AINative-Studio

Railway deployment workflows, nixpacks configuration, environment management, and production troubleshooting

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.