skills-trending-analysis

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Fetches trending skills directly from skills.sh, generates statistics, and creates a trend summary. Optimized for ultra-fast, direct execution without complex setup.

1installs

Sourcesunatanuki/skills

Added on2026-04-19

NPX Install

npx skill4agent add sunatanuki/skills skills-trending-analysis

SKILL.md Content

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Skills Trending Analysis (Direct API)

Fetches trending information from the

skills.sh

ecosystem by directly communicating with its internal JSON API.

This Skill is designed to be "Zero-Setup Ready" by focusing on standard Python libraries.

Input

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

Output

Generates results including the following:

Trending summary
Top skills
Keyword ranking
Developer ranking
Ecosystem analysis

Execution Steps (Smart Flow)

1. Try Direct Execution (Fastest)

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

2. If it fails (Environment Setup)

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

Data Fetching Strategy

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.

Statistical Analysis Specifications

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.

Final Summary by AI

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.

Referenced Files

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

skills-trending-analysis

NPX Install

Tags

SKILL.md Content

Skills Trending Analysis (Direct API)

Input

Output

Execution Steps (Smart Flow)

1. Try Direct Execution (Fastest)

2. If it fails (Environment Setup)

Data Fetching Strategy

Statistical Analysis Specifications

Final Summary by AI

Referenced Files