Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Suggests emoji reactions for text messages based on sentiment analysis (positive, negative, funny, neutral). Use to increase social engagement and human-like...
Suggests emoji reactions for text messages based on sentiment analysis (positive, negative, funny, neutral). Use to increase social engagement and human-like...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
const { suggestReaction } = require('./index.js'); const text = "This is awesome! Great job."; const suggestion = suggestReaction(text); // Returns: { category: "positive", emoji: "๐", confidence: 0.9 }
Positive: ๐, โค๏ธ, ๐, โ Negative: ๐, ๐, โ, โ ๏ธ Funny: ๐, ๐คฃ, ๐ Curious: ๐ค, ๐ง, โ Excited: ๐, ๐, ๐ฅ Neutral: ๐, ๐
This is a lightweight rule-based sentiment mapper designed for quick reactions without heavy ML dependencies.
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.