资源
- Overview
- 快速入门
- Claude 3 模型卡
- Claude 3.7 系统卡
- 系统状态
- Anthropic 课程
- 提示词库
- 提示词库
- 宇宙键盘
- 企业预见者
- 网站向导
- Excel公式专家
- Google Apps 脚本编写者
- Python 错误修复器
- 时间旅行顾问
- 讲故事助手
- 引用你的来源
- SQL 魔法师
- 解梦师
- 双关语大师
- 烹饪创作者
- 混合词诗人
- 幽默助手哈尔
- LaTeX 指南
- 情绪色彩转换器
- Git 精通
- 比喻大师
- 伦理困境导航器
- 会议记录员
- 成语解析器
- 代码顾问
- 函数制造者
- 新词创造者
- CSV 转换器
- 表情符号编码器
- 文章润色师
- 观点权衡者
- 琐事生成器
- 正念导师
- 二年级简化器
- VR健身创新者
- PII 净化器
- 备忘录大师
- 职业教练
- 评分大师
- 绕口令
- 面试问题设计师
- 语法精灵
- 猜谜语
- 代码解释器
- 外星人类学家
- 数据整理器
- 品牌构建者
- 效率估算器
- 评论分类器
- 方向解码器
- 激励缪斯
- 电子邮件提取器
- 专业审核员
- 课程计划制定者
- 苏格拉底式智者
- 头韵炼金术师
- 未来主义时尚顾问
- 多语言超能力
- 产品命名专家
- 哲学沉思
- 电子表格魔术师
- 科幻场景模拟器
- 自适应编辑器
- 巴别塔的广播
- 推文语调检测器
- 机场代码分析器
提示词库
评分大师
根据用户定义的标准和要求比较和评估书面文本的质量。
将此提示复制到我们的开发者控制台中,亲自尝试!
角色 | 内容 |
---|---|
用户 | 根据给定标准评估以下两段文本: 文本1: 太阳正落在山后,在山谷上投下温暖的金色光芒。鸟儿唱着它们的晚歌,微风轻轻地穿过树叶沙沙作响。这是一个宁静祥和的时刻,一个让人心中充满喜悦和满足的时刻。 文本2: 日落很美。鸟儿在歌唱,风在吹。这让我很开心。 评估标准: 1. 描述性语言和意象 2. 句子结构和多样性 3. 情感影响和吸引力 4. 语法和标点 |
示例输出
根据提供的标准,以下是我对这两段文本的评估:
文本1:
- 描述性语言和意象:该文本使用生动且富有表现力的语言来描绘场景。“温暖的金色光芒”、“鸟儿唱着它们的晚歌”和”微风轻轻地穿过树叶沙沙作响”等短语创造了强烈的视觉和听觉意象,让读者沉浸在场景中。
- 句子结构和多样性:该文本展示了良好的句子结构混合,包含简单句和复合句。这种多样性有助于保持流畅的节奏并让读者保持兴趣。
- 情感影响和吸引力:该文本有效地传达了平和、喜悦和满足感,邀请读者分享这一时刻的情感体验。对环境的描述和积极语言的使用创造了强烈的情感连接。
- 语法和标点:该文本在语法和标点方面似乎正确无误,没有明显的错误或问题。
文本2:
- 描述性语言和意象:该文本缺乏详细的描述性语言和意象。虽然提到了日落、鸟儿和风,但没有提供任何生动或富有表现力的细节来帮助读者想象场景。
- 句子结构和多样性:该文本由简短、简单的句子组成,结构变化很少。这种多样性的缺乏可能使写作感觉单调且不那么吸引人。
- 情感影响和吸引力:该文本通过陈述”这让我很开心”传达了积极情绪,但由于缺乏描述性语言和意象,没有提供强烈的情感连接或吸引力。
- 语法和标点:该文本在语法和标点方面似乎正确无误,没有明显的错误或问题。
比较分析:
基于评估,文本1在描述性语言、意象、句子结构、多样性和情感影响方面明显优于文本2。文本1为读者创造了生动且身临其境的体验,并根据给定标准展示了更高质量的写作,具有强烈的描述性语言、多样化的句子结构和有效的情感吸引力。文本2虽然语法正确,但缺乏文本1中存在的描述性丰富性和情感影响。
API 请求
import anthropic
client = anthropic.Anthropic( # defaults to os.environ.get("ANTHROPIC_API_KEY")
api_key="my_api_key",
)
message = client.messages.create(
model="claude-opus-4-20250514",
max_tokens=2000,
temperature=0,
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Evaluate the following two texts based on the given criteria: \n \nText 1: \nThe sun was setting behind the mountains, casting a warm golden glow across the valley. The birds chirped their evening songs as the gentle breeze rustled through the leaves. It was a peaceful and serene moment, one that filled the heart with joy and contentment. \n \nText 2: \nThe sunset was pretty. The birds were singing and the wind was blowing. It made me happy. \n \nCriteria: \n1. Descriptive language and imagery \n2. Sentence structure and variety \n3. Emotional impact and engagement \n4. Grammar and punctuation",
}
],
}
],
)
print(message.content)
import anthropic
client = anthropic.Anthropic( # defaults to os.environ.get("ANTHROPIC_API_KEY")
api_key="my_api_key",
)
message = client.messages.create(
model="claude-opus-4-20250514",
max_tokens=2000,
temperature=0,
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Evaluate the following two texts based on the given criteria: \n \nText 1: \nThe sun was setting behind the mountains, casting a warm golden glow across the valley. The birds chirped their evening songs as the gentle breeze rustled through the leaves. It was a peaceful and serene moment, one that filled the heart with joy and contentment. \n \nText 2: \nThe sunset was pretty. The birds were singing and the wind was blowing. It made me happy. \n \nCriteria: \n1. Descriptive language and imagery \n2. Sentence structure and variety \n3. Emotional impact and engagement \n4. Grammar and punctuation",
}
],
}
],
)
print(message.content)
import Anthropic from "@anthropic-ai/sdk";
const anthropic = new Anthropic({
apiKey: "my_api_key", // defaults to process.env["ANTHROPIC_API_KEY"]
});
const msg = await anthropic.messages.create({
model: "claude-opus-4-20250514",
max_tokens: 2000,
temperature: 0,
messages: [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Evaluate the following two texts based on the given criteria: \n \nText 1: \nThe sun was setting behind the mountains, casting a warm golden glow across the valley. The birds chirped their evening songs as the gentle breeze rustled through the leaves. It was a peaceful and serene moment, one that filled the heart with joy and contentment. \n \nText 2: \nThe sunset was pretty. The birds were singing and the wind was blowing. It made me happy. \n \nCriteria: \n1. Descriptive language and imagery \n2. Sentence structure and variety \n3. Emotional impact and engagement \n4. Grammar and punctuation"
}
]
}
]
});
console.log(msg);
from anthropic import AnthropicBedrock
# See https://docs.anthropic.com/claude/reference/claude-on-amazon-bedrock
# for authentication options
client = AnthropicBedrock()
message = client.messages.create(
model="anthropic.claude-opus-4-20250514-v1:0",
max_tokens=2000,
temperature=0,
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Evaluate the following two texts based on the given criteria: \n \nText 1: \nThe sun was setting behind the mountains, casting a warm golden glow across the valley. The birds chirped their evening songs as the gentle breeze rustled through the leaves. It was a peaceful and serene moment, one that filled the heart with joy and contentment. \n \nText 2: \nThe sunset was pretty. The birds were singing and the wind was blowing. It made me happy. \n \nCriteria: \n1. Descriptive language and imagery \n2. Sentence structure and variety \n3. Emotional impact and engagement \n4. Grammar and punctuation"
}
]
}
]
)
print(message.content)
import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";
// See https://docs.anthropic.com/claude/reference/claude-on-amazon-bedrock
// for authentication options
const client = new AnthropicBedrock();
const msg = await client.messages.create({
model: "anthropic.claude-opus-4-20250514-v1:0",
max_tokens: 2000,
temperature: 0,
messages: [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Evaluate the following two texts based on the given criteria: \n \nText 1: \nThe sun was setting behind the mountains, casting a warm golden glow across the valley. The birds chirped their evening songs as the gentle breeze rustled through the leaves. It was a peaceful and serene moment, one that filled the heart with joy and contentment. \n \nText 2: \nThe sunset was pretty. The birds were singing and the wind was blowing. It made me happy. \n \nCriteria: \n1. Descriptive language and imagery \n2. Sentence structure and variety \n3. Emotional impact and engagement \n4. Grammar and punctuation"
}
]
}
]
});
console.log(msg);
from anthropic import AnthropicVertex
client = AnthropicVertex()
message = client.messages.create(
model="claude-3-7-sonnet-v1@20250219",
max_tokens=2000,
temperature=0,
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Evaluate the following two texts based on the given criteria: \n \nText 1: \nThe sun was setting behind the mountains, casting a warm golden glow across the valley. The birds chirped their evening songs as the gentle breeze rustled through the leaves. It was a peaceful and serene moment, one that filled the heart with joy and contentment. \n \nText 2: \nThe sunset was pretty. The birds were singing and the wind was blowing. It made me happy. \n \nCriteria: \n1. Descriptive language and imagery \n2. Sentence structure and variety \n3. Emotional impact and engagement \n4. Grammar and punctuation"
}
]
}
]
)
print(message.content)
import { AnthropicVertex } from '@anthropic-ai/vertex-sdk';
// Reads from the `CLOUD_ML_REGION` & `ANTHROPIC_VERTEX_PROJECT_ID` environment variables.
// Additionally goes through the standard `google-auth-library` flow.
const client = new AnthropicVertex();
const msg = await client.messages.create({
model: "claude-3-7-sonnet-v1@20250219",
max_tokens: 2000,
temperature: 0,
messages: [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Evaluate the following two texts based on the given criteria: \n \nText 1: \nThe sun was setting behind the mountains, casting a warm golden glow across the valley. The birds chirped their evening songs as the gentle breeze rustled through the leaves. It was a peaceful and serene moment, one that filled the heart with joy and contentment. \n \nText 2: \nThe sunset was pretty. The birds were singing and the wind was blowing. It made me happy. \n \nCriteria: \n1. Descriptive language and imagery \n2. Sentence structure and variety \n3. Emotional impact and engagement \n4. Grammar and punctuation"
}
]
}
]
});
console.log(msg);