SKILL·A6F78B

better-auth

fusengine
更新于 1 month ago
8 次查看
3
3
在 GitHub 上查看
其他general

关于

better-auth is a comprehensive authentication library for developers implementing auth systems across any framework. It supports 40+ OAuth providers, 20+ plugins, and features like 2FA, magic links, SSO, and session management. Use this skill when you need to add secure, full-featured authentication to your application.

快速安装

Claude Code

推荐
主要方式
npx skills add fusengine/agents -a claude-code
插件命令备选方式
/plugin add https://github.com/fusengine/agents
Git 克隆备选方式
git clone https://github.com/fusengine/agents.git ~/.claude/skills/better-auth

在 Claude Code 中复制并粘贴此命令以安装该技能

GitHub 仓库

fusengine/agents
路径: plugins/nextjs-expert/skills/better-auth
0
claude-agentclaude-agentsclaude-codeclaude-code-pluginclaude-skillsclaudeagent
FAQ

Frequently asked questions

What is the better-auth skill?

better-auth is a Claude Skill by fusengine. Skills package instructions and resources that Claude loads on demand, so Claude can perform better-auth-related tasks without extra prompting.

How do I install better-auth?

Use the install commands on this page: add better-auth to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.

What category does better-auth belong to?

better-auth is in the Other category, tagged general.

Is better-auth free to use?

Yes. better-auth is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.

相关推荐技能

llamaguard
其他

LlamaGuard是Meta推出的7-8B参数内容审核模型,专门用于过滤LLM的输入和输出内容。它能检测六大安全风险类别(暴力/仇恨、性内容、武器、违禁品、自残、犯罪计划),准确率达94-95%。开发者可通过HuggingFace、vLLM或Sagemaker快速部署,并能与NeMo Guardrails集成实现自动化安全防护。

查看技能
cost-optimization
其他

这个Claude Skill帮助开发者优化云成本,通过资源调整、标记策略和预留实例来降低AWS、Azure和GCP的开支。它适用于减少云支出、分析基础设施成本或实施成本治理策略的场景。关键功能包括提供成本可视化、资源规模调整指导和定价模型优化建议。

查看技能
sports-betting-analyzer
其他

该Skill为开发者提供体育博彩数据分析工具,可分析盘口、大小球和特殊投注,识别价值投注机会。它整合历史数据和情景统计,生成包含时间戳的结构化Markdown报告。适用于需要快速获取博彩市场洞察的娱乐或教育类应用开发。

查看技能
quantizing-models-bitsandbytes
其他

这个Skill使用bitsandbytes库量化大语言模型,能在GPU内存有限时通过8位或4位量化减少50-75%内存占用,同时保持精度损失最小。它支持INT8、NF4、FP4等多种量化格式,可与HuggingFace Transformers无缝集成,适用于需要部署更大模型或加速推理的场景。还提供QLoRA训练和8位优化器支持,让开发者能轻松实现高效模型压缩。

查看技能