skills-trending-analysis

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Skills Trending Analysis (Direct API)

Input

输入

A keyword can be optionally specified for filtering.

```
--limit
```
: Number of items to fetch (default: 1000).
With keyword: Filters the fetched items by the keyword.
Without keyword: Fetches the top trending items.

Examples:

swift

python

agent

可选择性指定关键词进行过滤。

```
--limit
```
：要获取的条目数量（默认值：1000）。
指定关键词：按关键词过滤获取到的条目。
不指定关键词：获取排名靠前的热门条目。

示例：

swift

、

python

、

agent

Output

输出

Generates results including the following:

Trending summary
Top skills
Keyword ranking
Developer ranking
Ecosystem analysis

生成的结果包含以下内容：

趋势总结
热门技能排行
关键词排名
开发者排名
生态系统分析

Execution Steps (Smart Flow)

执行步骤（智能流程）

1. Try Direct Execution (Fastest)

1. 尝试直接执行（最快方式）

Most environments already have the necessary

requests

library. Try running directly:

bash

python3 scripts/fetch_trending.py
python3 scripts/analyze_trending.py --input tmp/trending.json --output tmp/trending_analysis.json

大多数环境已配备必要的

requests

库。尝试直接运行：

bash

python3 scripts/fetch_trending.py
python3 scripts/analyze_trending.py --input tmp/trending.json --output tmp/trending_analysis.json

2. If it fails (Environment Setup)

2. 若执行失败（环境配置）

If you get a

ModuleNotFoundError: No module named 'requests'

, then set up the environment:

Using uv (Recommended):

bash

uv venv
source .venv/bin/activate
uv pip install -r requirements.txt

Using standard pip:

bash

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

如果出现

ModuleNotFoundError: No module named 'requests'

错误，则进行环境配置：

推荐使用uv:

bash

uv venv
source .venv/bin/activate
uv pip install -r requirements.txt

使用标准pip:

bash

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Data Fetching Strategy

数据获取策略

Direct API Access: Communicates directly with
```
https://skills.sh/api/skills/all-time
```
.
No Browser Required: Eliminates dependencies like Chromium or Playwright.
Efficient: Uses pagination to fetch precisely what is needed.
Cached: Results are cached locally for 1 hour.

直接API访问: 直接与
```
https://skills.sh/api/skills/all-time
```
通信。
无需浏览器: 消除对Chromium或Playwright等依赖的需求。
高效性: 使用分页功能精确获取所需数据。
缓存机制: 结果在本地缓存1小时。

Statistical Analysis Specifications

统计分析规范

summary: Total skills, installs, unique developers/keywords.
skill_ranking: Sorted by install counts.
keyword_ranking: Frequency and install impact.
developer_ranking: Top developers and their specialties.
concentration: Market share analysis.

summary: 技能总数、安装量、独立开发者/关键词数量。
skill_ranking: 按安装量排序。
keyword_ranking: 关键词出现频率及对安装量的影响。
developer_ranking: 顶级开发者及其专长领域。
concentration: 市场份额分析。

Final Summary by AI

AI生成最终总结

Based on the Python analysis results, the AI will provide a premium trend report. Use the output of

analyze_trending.py

as the source of truth for all numerical data.

基于Python分析结果，AI将提供一份优质趋势报告。以

analyze_trending.py

的输出作为所有数值数据的权威来源。

Referenced Files

参考文件

requirements.txt
scripts/fetch_trending.py
scripts/analyze_trending.py
references/output-format.md

requirements.txt
scripts/fetch_trending.py
scripts/analyze_trending.py
references/output-format.md

skills-trending-analysis

Original

Translation

Skills Trending Analysis (Direct API)

热门技能趋势分析（直接API版）

Input

输入

Output

输出

Execution Steps (Smart Flow)

执行步骤（智能流程）

1. Try Direct Execution (Fastest)

1. 尝试直接执行（最快方式）

2. If it fails (Environment Setup)

2. 若执行失败（环境配置）

Data Fetching Strategy

数据获取策略

Statistical Analysis Specifications

统计分析规范

Final Summary by AI

AI生成最终总结

Referenced Files

参考文件