cheat-trends

Fetch and score trending topics from specified sources into candidates.md.

6.2k|875|Updated May 5, 2026

Search Tags:#content planning #content creation #topic scoring #trending topics #topic generation

Ready to run

npx skills add https://github.com/XBuilderLAB/cheat-on-content --skill cheat-trends

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cheat-trends
Source: https://github.com/XBuilderLAB/cheat-on-content/tree/main/skills/cheat-trends
Command: npx skills add https://github.com/XBuilderLAB/cheat-on-content --skill cheat-trends

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Bash(*), Read, Write, Edit, Glob, WebFetch, Skill, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the issue of finding suitable topics for content creation by automatically fetching and scoring trending topics from various sources.

Core Features & Use Cases

Trending Topics Extraction: Automatically retrieves trending topics from various sources such as HN, Reddit, YouTube, B站, etc.
Duplicate Removal and Scoring: Removes duplicates and assigns a rough score to each topic for evaluation.
Integration with Content Workflow: Writes the selected topics to a candidates.md file, ready for use in the content creation process.

Quick Start

To fetch and score trending topics, use the command: /cheat-trends — sources: manual-paste,aihot,weibo-hot — max-per: 10

Frequently Asked Questions about cheat-trends

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I fetch and score trending topics from multiple sources for content creation?▼

To fetch and score trending topics, you can use a scripting tool that retrieves data from sources like HN, Reddit, and YouTube, removes duplicates, and assigns a rough score to each topic for evaluation. The results are written to a candidates.md file for your workflow.

Can I extract trending topics from platforms like B站 and Weibo for topic generation?▼

Yes, you can extract trending topics from platforms like B站 and Weibo. The system supports fetching data from various specified sources, allowing you to pull and aggregate trending subjects across different regional and technical communities.

What is the best way to remove duplicate trending topics before content planning?▼

The best way to remove duplicate trending topics is to use an automated scoring and filtering script that processes fetched data. It identifies overlapping subjects across multiple sources and consolidates them into a single deduplicated list for content planning.

Do I need Python to run scripts for fetching trending topics and topic scoring?▼

Yes, you need Python to run the scripts for fetching and scoring trending topics. The process requires Python for scripting and web fetching, along with additional dependencies that are determined based on the specific sources you choose to query.

How do I integrate scored trending topics into my existing content workflow?▼

You integrate scored trending topics by writing the evaluated results directly into a candidates.md file. This file acts as a bridge, readying the selected topics for immediate use in the subsequent stages of your content creation process.

What are the limitations when using web fetching for trending topic extraction?▼

Limitations when using web fetching for trending topic extraction include potential dependency on specific platform availability and the need for additional environment configurations. You may encounter fetching limits or require manual pasting if a chosen source restricts automated access.