Monitior technology trends (GitHub, etc.), contextualize them against the user's project, and autonomously verify them through installation and testing. Use...
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install sync-trendingOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install sync-trendingβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/sync-trending/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What sync-trending can do for your AI workflow
Monitior technology trends directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing sync-trending
Help me get started with sync-trending
Explains what sync-trending does, walks through the setup, and runs a quick demo based on your current project
Use sync-trending to monitior technology trends (GitHub, etc
Invokes sync-trending with the right parameters and returns the result directly in the conversation
What can I do with sync-trending in my developer & devops workflow?
Lists the top use cases for sync-trending, with example commands for each scenario
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sync-trending extends your AI assistant with the ability to monitior technology trends (GitHub, etc.), contextualize them against the user's project, and autonomously verify them through installation and testing. Use... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using sync-trending as its underlying capability.
sync-trending works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install sync-trending once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with sync-trending takes about two minutes. Place the skill at `~/.claude/skills/sync-trending/` (personal, all projects) or `.claude/skills/sync-trending/` (project-specific), then restart your AI client. From that point, typing `/sync-trending` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
sync-trending has 551 installs and is part of the growing Developer & DevOps skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/sync-trending/ for personal use (all projects), or .claude/skills/sync-trending/ for project-specific use. Restart your AI client, then invoke with /sync-trending or let the AI discover it automatically.
sync-trending supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
sync-trending is free to install. Check the repository for licensing information.
Monitior technology trends (GitHub, etc.), contextualize them against the user's project, and autonomously verify them through installation and testing. Use...
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Monitor internet and social media trends with heartbeat topic watchlists, freshness scoring, and concise alerts on what changed and why it matters.
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Identifies repetitive steps in your workflow and sets up sync-trending to handle them automatically
sync-trending is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.
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