Analyze the sentiment and emotional tone of text using NLTK and VADER. Use this to gauge user mood, detect urgency, or analyze content tone.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install sentinel-moodOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install sentinel-moodβ 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/sentinel-mood/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¨Design & CreativePlatforms
What Sentinel Mood can do for your AI workflow
Sentiment and emotional tone 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 Sentinel Mood
Help me get started with Sentinel Mood
Explains what Sentinel Mood does, walks through the setup, and runs a quick demo based on your current project
Use Sentinel Mood to analyze the sentiment and emotional tone of text using NLTK and VADER
Invokes Sentinel Mood with the right parameters and returns the result directly in the conversation
What can I do with Sentinel Mood in my design & creative workflow?
Lists the top use cases for Sentinel Mood, with example commands for each scenario
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Sentinel Mood extends your AI assistant with the ability to analyze the sentiment and emotional tone of text using NLTK and VADER. Use this to gauge user mood, detect urgency, or analyze content tone. 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 Sentinel Mood as its underlying capability.
Sentinel Mood 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 Sentinel Mood 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 Sentinel Mood takes about two minutes. Place the skill at `~/.claude/skills/sentinel-mood/` (personal, all projects) or `.claude/skills/sentinel-mood/` (project-specific), then restart your AI client. From that point, typing `/sentinel-mood` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Sentinel Mood has 330 installs and is part of the growing Design & Creative 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/sentinel-mood/ for personal use (all projects), or .claude/skills/sentinel-mood/ for project-specific use. Restart your AI client, then invoke with /sentinel-mood or let the AI discover it automatically.
Sentinel Mood supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Sentinel Mood is free to install. Check the repository for licensing information.
Analyze the sentiment and emotional tone of text using NLTK and VADER. Use this to gauge user mood, detect urgency, or analyze content tone.
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