laborany
基于 Claude Code 的桌面 AI 工作力平台 — 支持飞书/QQ 远程调度、技能创建、定时任务。OpenClaw 的桌面实现,零代码养好你的 AI 🦞 Desktop AI workforce platform built on Claude Code. Feishu/QQ bot integration, skill c...
Collect and send Telegram stickers smartly. Auto-import packs, tag by emotion, select contextually, and respect frequency limits (2-5 messages).
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install bangyizhang/tg-stickersExaminez 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.
Intelligently manage and send Telegram stickers with emotional awareness.
OpenClaw natively supports sending stickers (message tool), but this skill adds:
./import-sticker-pack.sh <pack_short_name_or_id>
./auto-tag-stickers.sh
// ✅ Use OpenClaw's message tool directly
message(action='sticker', target='<chat_id>', stickerId=['<file_id>'])
// No bash script needed - OpenClaw handles sending natively
./random-sticker.sh "goodnight" # Returns random sticker tagged "goodnight"
| Script | Purpose | Usage |
|---|---|---|
import-sticker-pack.sh |
Bulk import Telegram sticker pack | ./import-sticker-pack.sh pa_XXX... |
auto-tag-stickers.sh |
Tag stickers by emoji → emotion | ./auto-tag-stickers.sh |
random-sticker.sh |
Select random sticker by tag | ./random-sticker.sh "happy" |
check-collection.sh |
View collection stats | ./check-collection.sh |
## Sticker Usage
When to send:
- Goodnight/morning greetings (always use sticker over text)
- Celebrating success/milestones
- Humorous moments
- Emotional responses (joy, sympathy, encouragement)
How to send:
1. Use random-sticker.sh to pick appropriate sticker by emotion
2. Call message(action=sticker, ...) directly
3. (Optional) Update stickers.json manually to track usage
Frequency: 2-5 messages between stickers (track in agent logic)
Auto-tagging maps 100+ emoji to emot...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Smart Telegram sticker management for OpenClaw agents.
OpenClaw natively sends stickers, but this skill adds intelligence:
# 1. Import a sticker pack
./import-sticker-pack.sh pa_YK0WQxd6HTw52j6bazKo_by_SigStick21Bot
# 2. Auto-tag all stickers
./auto-tag-stickers.sh
# 3. Select a sticker (returns file_id)
./random-sticker.sh "goodnight"
# 4. Send via OpenClaw (in agent code)
message(action=sticker, target=<chat_id>, stickerId=[<file_id>])
| Script | Purpose |
|---|---|
import-sticker-pack.sh |
Import entire Telegram sticker pack |
auto-tag-stickers.sh |
Tag stickers by emoji → emotion mapping |
random-sticker.sh |
Pick random sticker by tag |
check-collection.sh |
View collection stats |
stickers.json - Your collection + usage datastickers.json.example - Empty templateSKILL.md - Full documentationUse stickers like humans do:
Read SKILL.md for full integration guide with OpenClaw agents.
MIT
# Telegram Stickers Skill Intelligently manage and send Telegram stickers with emotional awareness. ## Core Value **OpenClaw natively supports sending stickers** (`message` tool), but this skill adds: - ✅ **Collection management** - Import entire sticker packs at once - ✅ **Emotion tagging** - 100+ emoji → emotion mappings - ✅ **Smart selection** - Context-based + randomization (avoid repetition) - ✅ **Frequency control** - 2-5 messages between stickers - ✅ **Usage analytics** - Track which stickers work best ## Quick Start ### 1. Import Sticker Packs ```bash ./import-sticker-pack.sh <pack_short_name_or_id> ``` ### 2. Auto-Tag by Emotion ```bash ./auto-tag-stickers.sh ``` ### 3. Send Stickers (in agent code) ```javascript // ✅ Use OpenClaw's message tool directly message(action='sticker', target='<chat_id>', stickerId=['<file_id>']) // No bash script needed - OpenClaw handles sending natively ``` ### 4. Smart Selection ```bash ./random-sticker.sh "goodnight" # Returns random sticker tagged "goodnight" ``` ## Tools | Script | Purpose | Usage | |--------|---------|-------| | `import-sticker-pack.sh` | Bulk import Telegram sticker pack | `./import-sticker-pack.sh pa_XXX...` | | `auto-tag-stickers.sh` | Tag stickers by emoji → emotion | `./auto-tag-stickers.sh` | | `random-sticker.sh` | Select random sticker by tag | `./random-sticker.sh "happy"` | | `check-collection.sh` | View collection stats | `./check-collection.sh` | ## Agent Integration ```markdown ## Sticker Usage When to send: - Goodnight/morning greetings (always use sticker over text) - Celebrating success/milestones - Humorous moments - Emotional responses (joy, sympathy, encouragement) How to send: 1. Use random-sticker.sh to pick appropriate sticker by emotion 2. Call message(action=sticker, ...) directly 3. (Optional) Update stickers.json manually to track usage Frequency: 2-5 messages between stickers (track in agent logic) ``` ## Emotion Tags Auto-tagging maps 100+ emoji to emot...
# tg-stickers Smart Telegram sticker management for OpenClaw agents. ## What This Does **OpenClaw natively sends stickers**, but this skill adds intelligence: - 📦 **Bulk import** - Add entire sticker packs at once - 🏷️ **Auto-tagging** - Map 100+ emoji to emotions (happy, sad, goodnight, etc.) - 🎲 **Smart selection** - Context-based random picks (avoid repetition) - 📊 **Analytics** - Track usage patterns ## Quick Start ```bash # 1. Import a sticker pack ./import-sticker-pack.sh pa_YK0WQxd6HTw52j6bazKo_by_SigStick21Bot # 2. Auto-tag all stickers ./auto-tag-stickers.sh # 3. Select a sticker (returns file_id) ./random-sticker.sh "goodnight" # 4. Send via OpenClaw (in agent code) message(action=sticker, target=<chat_id>, stickerId=[<file_id>]) ``` ## Tools | Script | Purpose | |--------|---------| | `import-sticker-pack.sh` | Import entire Telegram sticker pack | | `auto-tag-stickers.sh` | Tag stickers by emoji → emotion mapping | | `random-sticker.sh` | Pick random sticker by tag | | `check-collection.sh` | View collection stats | ## Files - `stickers.json` - Your collection + usage data - `stickers.json.example` - Empty template - `SKILL.md` - Full documentation ## Usage Philosophy **Use stickers like humans do:** - Greetings (goodnight/morning) → always prefer sticker over text - Celebrations, humor, empathy → great use cases - Technical answers, reports → skip stickers - Frequency: ~1 per 2-5 messages (track yourself in agent logic) ## Integration Read `SKILL.md` for full integration guide with OpenClaw agents. ## License MIT
基于 Claude Code 的桌面 AI 工作力平台 — 支持飞书/QQ 远程调度、技能创建、定时任务。OpenClaw 的桌面实现,零代码养好你的 AI 🦞 Desktop AI workforce platform built on Claude Code. Feishu/QQ bot integration, skill c...
Reusable OpenClaw skill for remote Linux deployment with MiniMax M2.1 and Telegram bot setup
Bots learn, human earns, curated open claw playbook list and skill list for life long learners at https://botlearn.ai
Web-based admin dashboard for OpenClaw — manage Discord persona bots, workspace files, skills, cron jobs, channels, and config