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SKILL verified MIT Self-run

Ai Llm

skill-awesome-ai-dev-awesome-ai-dev-llm · by awesome-ai-dev

LLM 应用开发 - OpenAI/Claude/提示词工程/Token 优化

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Install

$ agentstack add skill-awesome-ai-dev-awesome-ai-dev-llm

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

LLM 应用开发

OpenAI

import OpenAI from 'openai';

const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });

// 基础调用
const completion = await openai.chat.completions.create({
  model: 'gpt-4o',
  messages: [
    { role: 'system', content: '你是一个助手' },
    { role: 'user', content: '你好' }
  ]
});

console.log(completion.choices[0].message.content);

Claude

import { Anthropic } from '@anthropic-ai/sdk';

const anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });

const message = await anthropic.messages.create({
  model: 'claude-3-5-sonnet-20241022',
  max_tokens: 1024,
  messages: [
    { role: 'user', content: '你好' }
  ]
});

提示词工程

// 结构化提示
const prompt = `
## 角色
你是一个专业的技术写作者。

## 任务
撰写技术文档。

## 要求
1. 简洁清晰
2. 包含代码示例
3. 中文输出

## 输出格式
markdown
`;

// Few-shot
const fewShotPrompt = `
例子:
输入:苹果
输出:水果

输入:BMW
输出:
`;

Token 优化

// 消息压缩
function compressMessages(messages: Message[]): Message[] {
  // 保留系统消息,压缩历史
  const system = messages[0];
  const recent = messages.slice(-6);
  return [system, ...recent];
}

// 流式输出
const stream = await openai.chat.completions.create({
  model: 'gpt-4o',
  messages: [{ role: 'user', content: '讲个故事' }],
  stream: true
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || '');
}

最佳实践

  1. 控制上下文长度
  2. 流式输出体验好
  3. 错误处理
  4. 成本控制

参考

  • ai-tools/08-ai-platforms-api.md

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.