10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
Send sticker/emoji images (表情包) in chat. Search local collection or online (Tenor), download favorites, and send via any channel (WhatsApp, Discord, iMessage, Telegram). Use when the user wants to send a sticker, emoji image, meme, or 表情包.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install horisky/emo-imgExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Send sticker images (表情包) in chat conversations. Hybrid search: local collection first, then Tenor online.
~/.openclaw/stickers/
~/.openclaw/stickers/index.json
STICKER_DIR env varpython3 {baseDir}/scripts/sticker.py search "开心"
python3 {baseDir}/scripts/sticker.py search "thumbs up" --limit 3
Returns JSON with local and online arrays. Local results have a file path; online results have a url.
python3 {baseDir}/scripts/sticker.py search-local "哭"
python3 {baseDir}/scripts/sticker.py search-online "excited" --limit 5
python3 {baseDir}/scripts/sticker.py add /path/to/sticker.gif --name "happy-cat" --tags "开心,猫,happy,cat"
python3 {baseDir}/scripts/sticker.py download "<url>" --name "thumbs-up" --tags "好的,赞,ok"
python3 {baseDir}/scripts/sticker.py list
python3 {baseDir}/scripts/sticker.py remove "happy-cat"
Use the message tool with the media field to send sticker images. This works for ALL channels (WhatsApp, Telegram, Discord, etc.) — no external CLI needed.
{
"action": "send",
"channel": "<current_channel>",
"to": "<recipient>",
"message": "",
"media": "<sticker_file_path>"
}
The media field accepts local file paths directly (e.g. /Users/.../.openclaw/stickers/bocchi-shy.gif).
For online results not yet downloaded, first run download to save locally, then send the saved file path.
search "<keyword>" to find matching stickersfile path directlyCes informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
When words aren't enough, let your AI express emotions through images.
emo-img is an OpenClaw skill that gives AI agents the ability to feel and react with sticker images — just like humans do in chat. Instead of cold text replies, your agent sends expressive GIFs and stickers that match the emotional context of the conversation.
AI assistants are smart, but they're emotionally flat. A thumbs-up emoji isn't the same as a cute animated character giving you a high-five. emo-img bridges this gap:
Drop the emo-img/ folder into your OpenClaw skills directory:
cp -r emo-img/ ~/.nvm/versions/node/$(node -v)/lib/node_modules/openclaw/skills/emo-img
Or install the .skill package if you have the skill-creator:
openclaw skills install emo-img.skill
Just talk to your agent naturally:
Your agent will search, find, and send the perfect sticker automatically.
emo-img/
├── SKILL.md # Skill definition + agent instructions
└── scripts/
└── sticker.py # Sticker manager (search, download, add, remove)
# Hybrid search (local first, then Tenor online)
python3 sticker.py search "开心"
# Add to your collection
python3 sticker.py add ~/Downloads/cute-cat.gif --name "happy-cat" --tags "开心,猫,happy"
# Download from URL
python3 sticker.py download "<u...
# emo-img — Sticker / Emoji Image Skill
Send sticker images (表情包) in chat conversations. Hybrid search: local collection first, then Tenor online.
## Storage
- Sticker collection: `~/.openclaw/stickers/`
- Index file: `~/.openclaw/stickers/index.json`
- Override with `STICKER_DIR` env var
## Commands
### Search (hybrid: local first, then online)
```bash
python3 {baseDir}/scripts/sticker.py search "开心"
python3 {baseDir}/scripts/sticker.py search "thumbs up" --limit 3
```
Returns JSON with `local` and `online` arrays. Local results have a `file` path; online results have a `url`.
### Search local only
```bash
python3 {baseDir}/scripts/sticker.py search-local "哭"
```
### Search online only (Tenor)
```bash
python3 {baseDir}/scripts/sticker.py search-online "excited" --limit 5
```
### Add a local file
```bash
python3 {baseDir}/scripts/sticker.py add /path/to/sticker.gif --name "happy-cat" --tags "开心,猫,happy,cat"
```
### Download from URL and save
```bash
python3 {baseDir}/scripts/sticker.py download "<url>" --name "thumbs-up" --tags "好的,赞,ok"
```
### List all stickers
```bash
python3 {baseDir}/scripts/sticker.py list
```
### Remove a sticker
```bash
python3 {baseDir}/scripts/sticker.py remove "happy-cat"
```
## Sending Stickers
Use the `message` tool with the `media` field to send sticker images. This works for ALL channels (WhatsApp, Telegram, Discord, etc.) — no external CLI needed.
```json
{
"action": "send",
"channel": "<current_channel>",
"to": "<recipient>",
"message": "",
"media": "<sticker_file_path>"
}
```
The `media` field accepts local file paths directly (e.g. `/Users/.../.openclaw/stickers/bocchi-shy.gif`).
For online results not yet downloaded, first run `download` to save locally, then send the saved file path.
## Workflow
1. User says something like "发个表情包" or "send a sticker about X"
2. Run `search "<keyword>"` to find matching stickers
3. If local results exist, use the `file` path directly
4. If only...# 🎭 emo-img — Give Your AI a Soul, One Sticker at a Time
> **When words aren't enough, let your AI express emotions through images.**
emo-img is an [OpenClaw](https://openclaw.ai) skill that gives AI agents the ability to **feel and react with sticker images** — just like humans do in chat. Instead of cold text replies, your agent sends expressive GIFs and stickers that match the emotional context of the conversation.
## ✨ Why emo-img?
AI assistants are smart, but they're emotionally flat. A thumbs-up emoji isn't the same as a cute animated character giving you a high-five. emo-img bridges this gap:
- **Emotionally aware** — Your AI picks stickers that match the mood: 害羞, 开心, 难过, 搞笑...
- **Hybrid search** — Searches your personal sticker collection first, falls back to Tenor's massive library
- **Cross-channel** — Works on WhatsApp, Telegram, Discord, iMessage, and more
- **Grows with you** — Save favorites to build a personal sticker collection your AI remembers
## 🚀 Quick Start
### Install
Drop the `emo-img/` folder into your OpenClaw skills directory:
```bash
cp -r emo-img/ ~/.nvm/versions/node/$(node -v)/lib/node_modules/openclaw/skills/emo-img
```
Or install the `.skill` package if you have the skill-creator:
```bash
openclaw skills install emo-img.skill
```
### Use
Just talk to your agent naturally:
- *"发个害羞的表情包"*
- *"send me a happy sticker"*
- *"来个搞笑的图"*
- *"react with a thumbs up gif"*
Your agent will search, find, and send the perfect sticker automatically.
## 🔧 Under the Hood
```
emo-img/
├── SKILL.md # Skill definition + agent instructions
└── scripts/
└── sticker.py # Sticker manager (search, download, add, remove)
```
### CLI Commands
```bash
# Hybrid search (local first, then Tenor online)
python3 sticker.py search "开心"
# Add to your collection
python3 sticker.py add ~/Downloads/cute-cat.gif --name "happy-cat" --tags "开心,猫,happy"
# Download from URL
python3 sticker.py download "<u...generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.