A professional analytics skill designed to track growth trends, rankings, and performance metrics for Openclaw Skills through structured API queries.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-trend-analysis
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install skill-trend-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Skill Trend Analysis?
Skill Trend Analysis is a specialized tool for developers and researchers who need to monitor the evolution of the AI agent ecosystem. It provides deep insights into how various Openclaw Skills are performing by analyzing download counts, star ratings, and ranking shifts over specific time intervals. This skill allows users to transform raw marketplace data into actionable intelligence, identifying which agents are gaining traction and which developers are leading the market.
By interfacing directly with the backend API, it supports complex filtering and comparative analysis. Whether you are looking for the fastest-growing tags or evaluating the performance of a specific author, this skill provides the technical framework to query, parse, and interpret high-volume data streams efficiently.
Skill Trend Analysis Use Cases
- Tracking growth trends for specific downloads or stars over a custom time window.
- Identifying the fastest-rising Openclaw Skills and authors in the ecosystem.
- Comparing leaderboard rankings and search results between different time periods.
- Generating automated reports using curl and jq for technical data extraction.
- Debugging and optimizing trend analysis parameters like start_date, end_date, and rank_limit.
How Skill Trend Analysis Works
- Define the analysis goal, such as identifying growth leaders or observing specific author performance.
- Determine the time window and metrics, specifying parameters like days or metric (downloads or stars).
- Access read-only endpoints such as /skills/growth or /skills/top to retrieve structured data.
- Execute requests using curl with the -sS flag and process the results through jq for specific field extraction.
- Interpret the response to provide concise conclusions supported by numerical evidence and key parameters.
- Manage API rate limits by implementing a 3-second wait period if a 429 error is encountered.
Skill Trend Analysis Setup
To begin using this skill for analyzing Openclaw Skills, you can use the following bash templates to interact with the API:
# Set the base API URL
BASE_URL="http://skills.easytoken.cc/api"
# Query the growth leaderboard for a 30-day period
curl -sS "$BASE_URL/skills/growth?days=30&metric=downloads&limit=10" | jq .
# Or use the provided helper script for simplified requests
bash scripts/call_api.sh skills/top "limit=10&order=stars"
Skill Trend Analysis Data Schema & Taxonomy
The skill organizes data using standard REST API parameters. Below are the key fields used for Openclaw Skills analysis:
| Parameter | Description | Valid Values |
|---|---|---|
| metric | The growth metric to track | downloads, stars |
| days | Relative time window in days | Integer (e.g., 7, 30) |
| start_date | The start of the analysis range | YYYY-MM-DD |
| end_date | The end of the analysis range | YYYY-MM-DD |
| rank_limit | Filter by ranking threshold | Integer (e.g., 1000) |
| order | Sorting direction for results | downloads, stars, updated_at |
Skill Trend Analysis Advanced Features
- Multi-metric growth analysis allowing for simultaneous comparison of stars and download velocity.
- Time-range queries using updated_at or created_at fields for granular lifecycle tracking.
- Automated rate-limit handling to ensure stable data extraction during high-frequency polling.
- Integrated helper scripts for quick execution of complex API endpoints.
- Summary-first output logic that prioritizes actionable insights over raw JSON data.
SKILL.md
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