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laravel-ai-sdkLaravel AI SDK 搜索

Agent Skill

laravel-ai-sdk 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,420

周安装

58

GitHub Stars

33

下载量

455
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:laravel-ai-sdk(Laravel AI SDK 搜索)
来源仓库:https://github.com/asyrafhussin/agent-skills
仓库路径:skills/laravel-ai-sdk
安装命令:
npx skills add https://github.com/asyrafhussin/agent-skills --skill laravel-ai-sdk
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/asyrafhussin/agent-skills --skill laravel-ai-sdk

简介

该技能提供 Laravel AI SDK 集成和使用指南。

  • 适用于将大模型能力融入 Laravel 应用。
  • 支持提示词管理、上下文处理和结果解析。
  • 使用前需确认 API 密钥和服务可用性。
  • 建议设置合理的调用频率和成本预算。laravel-ai-sdk 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Laravel AI SDK

Comprehensive guide for building AI-powered features with the Laravel AI SDK (laravel/ai). Contains 17 rules across 7 categories covering agents, tools, media generation, embeddings, vector stores, and testing.

When to Apply

Reference these guidelines when:

  • Creating AI agents with instructions, tools, and structured output
  • Prompting agents with conversation context
  • Streaming or queueing agent responses
  • Generating images, audio, or transcriptions
  • Creating and querying vector embeddings
  • Building RAG (retrieval-augmented generation) features
  • Testing AI features with fakes and assertions

Rule Categories by Priority

PriorityCategoryImpactPrefix
1AgentsCRITICALagent-
2ToolsHIGHtool-
3Embeddings & SearchHIGHembed-
4Media GenerationMEDIUMmedia-
5Files & StorageMEDIUMfiles-
6InfrastructureMEDIUMinfra-
7TestingHIGHtest-

Quick Reference

1. Agents (CRITICAL)

  • agent-create-configure - Create agents with artisan, PHP attribute configuration
  • agent-prompting - Prompt agents, conversation context, RemembersConversations
  • agent-structured-output - Structured output with JSON schema
  • agent-streaming-async - Streaming, broadcasting, and queueing responses
  • agent-middleware - Agent middleware pipeline
  • agent-anonymous - Anonymous agents for quick interactions

2. Tools (HIGH)

  • tool-create - Create custom tools with schema and handle method
  • tool-provider - Provider tools: WebSearch, WebFetch, FileSearch, SimilaritySearch

3. Embeddings & Search (HIGH)

  • embed-generate-cache - Generate, store, and cache vector embeddings
  • embed-rerank - Rerank documents and collections by relevance

4. Media Generation (MEDIUM)

  • media-images - Generate, store, and queue images
  • media-audio-transcription - Text-to-speech and speech-to-text

5. Files & Storage (MEDIUM)

  • files-vector-stores - File storage and vector stores for RAG

6. Infrastructure (MEDIUM)

  • infra-failover - Automatic provider failover for resilience

7. Testing (HIGH)

  • test-agents - Fake agents, assert prompts, prevent stray prompts
  • test-media - Fake images, audio, and transcriptions
  • test-data - Fake embeddings, reranking, files, and vector stores

Essential Patterns

Creating an Agent

<?php

namespace App\Ai\Agents;

use Laravel\Ai\Contracts\Agent;
use Laravel\Ai\Promptable;

class SalesCoach implements Agent
{
    use Promptable;

    public function instructions(): string
    {
        return 'You are a sales coach, analyzing transcripts and providing feedback.';
    }
}

Prompting

use App\Ai\Agents\SalesCoach;

$response = SalesCoach::make()->prompt('Analyze this sales transcript...');

return (string) $response;

Generating Images

use Laravel\Ai\Image;

$image = Image::of('A donut sitting on the kitchen counter')
    ->landscape()
    ->generate();

$path = $image->store();

Generating Embeddings

use Illuminate\Support\Str;

$embeddings = Str::of('Napa Valley has great wine.')->toEmbeddings();

Testing

use App\Ai\Agents\SalesCoach;

SalesCoach::fake(['First response', 'Second response']);

SalesCoach::make()->prompt('Analyze this...');

SalesCoach::assertPrompted('Analyze this...');

How to Use

Read individual rule files for detailed explanations and code examples.

Each rule file contains:

  • YAML frontmatter with metadata (title, impact, tags)
  • Brief explanation of why it matters
  • Bad Example with explanation
  • Good Example with explanation
  • Laravel 13 and PHP 8.3 specific context and references

Full Compiled Document

For the complete guide with all rules expanded: AGENTS.md

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.59%
按下载量换算153

Claude

30.26%
按下载量换算138

Cursor

19.96%
按下载量换算91

Gemini CLI

9.9%
按下载量换算45

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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