Suggests emoji reactions for text messages based on sentiment analysis (positive, negative, funny, neutral). Use to increase social engagement and human-likeness in conversations.
This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.
Install skill "emoji-reaction-automator" with this command: npx skills add wanng-ide/emoji-reaction-automator
const { suggestReaction } = require('./index.js');
const text = "This is awesome! Great job.";
const suggestion = suggestReaction(text);
// Returns: { category: "positive", emoji: "👍", confidence: 0.9 }
This is a lightweight rule-based sentiment mapper designed for quick reactions without heavy ML dependencies.
This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.
Related by shared tags or category signals.
Conducts deep, multi-angle research using Surf MCP tools and parallel subagents. Use for deep research, competitive landscape analysis, strategic intelligenc...
Analyze audio recording quality - echo detection, loudness, speech intelligibility, SNR, spectral analysis. Use when the user wants to check a recording's qu...
Analyzes a brand’s presence and sentiment in LLM-generated industry recommendations, extracting mention context and competitor comparisons.
Paperspace integration. Manage data, records, and automate workflows. Use when the user wants to interact with Paperspace data.