Fetch and score trending topics from specified sources into candidates.md.
npx skills add https://github.com/XBuilderLAB/cheat-on-content --skill cheat-trends
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
This Skill solves the issue of finding suitable topics for content creation by automatically fetching and scoring trending topics from various sources.
To fetch and score trending topics, use the command: /cheat-trends — sources: manual-paste,aihot,weibo-hot — max-per: 10
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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