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AINative-Studio AI Skills

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浏览 AINative-Studio 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

8

收录技能的仓库 Stars 合计

8

仓库 Forks

8

平均每个技能的仓库 Stars

1

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

8 个技能

全部技能

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

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。