Telegram
diegosouzapw/awesome-omni-skills
Telegram Bot API - Integracao Profissional workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.
Integracao completa com Telegram Bot API. An agent skill from majiayu000/claude-skill-registry.
$ npx skills add majiayu000/claude-skill-registry --skill telegram -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install majiayu000/claude-skill-registry telegram --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/bash/telegram .claude/skills/telegram && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "telegram" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/bash/telegram into .claude/skills/telegram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telegram", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/bash/telegramType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add majiayu000/claude-skill-registry --skill telegram -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install majiayu000/claude-skill-registry telegram --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/bash/telegram .agents/skills/telegram && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "telegram" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/bash/telegram into .agents/skills/telegram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telegram", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill telegram -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install majiayu000/claude-skill-registry telegram --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/bash/telegram .cursor/skills/telegram && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "telegram" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/bash/telegram into .cursor/skills/telegram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telegram", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/bash/telegram--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add majiayu000/claude-skill-registry --skill telegram -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install majiayu000/claude-skill-registry telegram --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/bash/telegram .gemini/skills/telegram && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "telegram" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/bash/telegram into .gemini/skills/telegram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telegram", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install majiayu000/claude-skill-registry telegramInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add majiayu000/claude-skill-registry --skill telegram -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/bash/telegram .github/skills/telegram && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "telegram" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/bash/telegram into .github/skills/telegram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telegram", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill telegram -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install majiayu000/claude-skill-registry telegram --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/bash/telegram .opencode/skills/telegram && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "telegram" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/bash/telegram into .opencode/skills/telegram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telegram", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
telegramIntegracao completa com Telegram Bot API. An agent skill from majiayu000/claude-skill-registry.
Telegram is an agent skill from majiayu000/claude-skill-registry. Integracao completa com Telegram Bot API. Setup com BotFather, mensagens, webhooks, inline keyboards, grupos, canais. Boilerplates Node.js e Python.
Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).
It sits in Backend & APIs, covering Project scaffolding and Webhooks. It works with Telegram, Node.js, Python and Bash. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
pythoncurlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.telegram.orgseu-dominio.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
SEU_TOKENTELEGRAM_BOT_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Telegram loads about 4k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 707 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 707 words, ~3,995 tokens.
.claude/skills/telegram/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Integracao completa com Telegram Bot API. Setup com BotFather, mensagens, webhooks, inline keyboards, grupos, canais. Boilerplates Node.js e Python.
Skill para implementar bots profissionais no Telegram usando a Bot API oficial. Suporta Node.js/TypeScript e Python.
A Telegram Bot API permite criar bots que interagem com usuarios via mensagens, comandos, inline keyboards, pagamentos e muito mais. Bots sao criados pelo @BotFather e autenticados via token unico.
Base URL: https://api.telegram.org/bot<TOKEN>/METHOD_NAME
Metodos HTTP: GET e POST
Formatos de parametros: query string, application/x-www-form-urlencoded, application/json, multipart/form-data (uploads)
Limite de arquivos: 50MB download, 20MB upload (via multipart), 50MB via URL
Portas suportadas para webhooks: 443, 80, 88, 8443
Pre-requisitos:
123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11Se o usuario nao tem um bot criado, oriente a conversar com @BotFather no Telegram e enviar /newbot.
O usuario precisa criar um bot?
├── SIM → Secao "Setup com BotFather" abaixo
└── NAO → Qual linguagem?
├── Node.js/TypeScript
└── Python
→ O que quer fazer?
├── Enviar mensagens → Secao "Tipos de Mensagem"
├── Receber mensagens → Secao "Receber Updates"
├── Teclados interativos → Secao "Keyboards"
├── Gerenciar grupos/canais → references/chat-management.md
├── Webhook setup → references/webhook-setup.md
├── Inline mode → references/advanced-features.md
├── Pagamentos → references/advanced-features.md
├── Bot de atendimento com IA → Secao "Automacao com IA"
└── Referencia completa da API → references/api-reference.mdPara iniciar um projeto do zero com boilerplate pronto:
python scripts/setup_project.py --language nodejs --path ./meu-bot-telegram
## Ou
python scripts/setup_project.py --language python --path ./meu-bot-telegramPara testar se o token do bot funciona:
python scripts/test_bot.py --token "SEU_TOKEN"Para enviar uma mensagem de teste:
python scripts/send_message.py --token "SEU_TOKEN" --chat-id "CHAT_ID" --text "Hello!"/newbotmeu_incrivel_bot)/setdescription - descricao do bot/setabouttext - texto "sobre" do bot/setuserpic - foto de perfil/setcommands - lista de comandos/mybots - gerenciar bots existentes/setinline - habilitar inline mode/setprivacy - modo privacidade em gruposTELEGRAM_BOT_TOKEN=123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11// Instalar: npm install telegraf dotenv
// Para TypeScript: npm install -D typescript
import { Telegraf } from 'telegraf';
import dotenv from 'dotenv';
dotenv.config();
const bot = new Telegraf(process.env.TELEGRAM_BOT_TOKEN!);
bot.start((ctx) => {
ctx.reply('Ola! Eu sou seu bot. Como posso ajudar?');
});
bot.on('text', (ctx) => {
if (!ctx.message.text.startsWith('/')) {
ctx.reply(`Voce disse: ${ctx.message.text}`);
}
});
bot.launch();
## Instalar: Pip Install Python-Telegram-Bot Python-Dotenv
import os
from dotenv import load_dotenv
from telegram import Update
from telegram.ext import Application, CommandHandler, MessageHandler, filters, ContextTypes
load_dotenv()
async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
await update.message.reply_text('Ola! Eu sou seu bot. Como posso ajudar?')
async def echo(update: Update, context: ContextTypes.DEFAULT_TYPE):
await update.message.reply_text(f'Voce disse: {update.message.text}')
app = Application.builder().token(os.getenv('TELEGRAM_BOT_TOKEN')).build()
app.add_handler(CommandHandler('start', start))
app.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, echo))
app.run_polling()import requests
TOKEN = "SEU_TOKEN"
BASE = f"https://api.telegram.org/bot{TOKEN}"
## Verificar Bot
r = requests.get(f"{BASE}/getMe")
print(r.json())
## Enviar Mensagem
r = requests.post(f"{BASE}/sendMessage", json={
"chat_id": "CHAT_ID",
"text": "Hello from pure HTTP!",
"parse_mode": "HTML"
})
print(r.json())O Telegram suporta diversos tipos de conteudo. Todos os metodos aceitam chat_id, reply_parameters (para responder), reply_markup (para keyboards), disable_notification e protect_content.
await bot.send_message(
chat_id=chat_id,
text="<b>Negrito</b>, <i>italico</i>, <code>codigo</code>, <a href='https://example.com'>link</a>",
parse_mode="HTML"
)
await bot.send_message(
chat_id=chat_id,
text="Negrito, italico, codigo, link",
parse_mode="MarkdownV2"
)
## Foto (Por Url, File_Id Ou Upload)
await bot.send_photo(chat_id, photo="https://example.com/img.jpg", caption="Legenda aqui")
## Documento
await bot.send_document(chat_id, document=open("relatorio.pdf", "rb"), caption="Relatorio mensal")
## Video
await bot.send_video(chat_id, video="https://example.com/video.mp4", caption="Assista!")
## Audio
await bot.send_audio(chat_id, audio=open("musica.mp3", "rb"), title="Minha Musica")
## Voz (Ogg Com Opus)
await bot.send_voice(chat_id, voice=open("audio.ogg", "rb"))
## Localizacao
await bot.send_location(chat_id, latitude=-23.5505, longitude=-46.6333)
## Contato
await bot.send_contact(chat_id, phone_number="+5511999999999", first_name="Joao")
## Enquete
await bot.send_poll(
chat_id, question="Qual sua cor favorita?",
options=["Azul", "Verde", "Vermelho"],
is_anonymous=False
)
## Grupo De Midias
await bot.send_media_group(chat_id, media=[
InputMediaPhoto("url1", caption="Foto 1"),
InputMediaPhoto("url2"),
InputMediaVideo("url3")
])
## Acao De Chat (Typing, Upload_Photo, Etc.)
await bot.send_chat_action(chat_id, action="typing")// Foto
bot.sendPhoto(chatId, 'https://example.com/img.jpg', { caption: 'Legenda' });
// Documento
bot.sendDocument(chatId, fs.createReadStream('relatorio.pdf'), { caption: 'Relatorio' });
// Localizacao
bot.sendLocation(chatId, -23.5505, -46.6333);
// Enquete
bot.sendPoll(chatId, 'Qual sua cor favorita?', ['Azul', 'Verde', 'Vermelho']);from telegram import InlineKeyboardButton, InlineKeyboardMarkup
keyboard = InlineKeyboardMarkup([
[InlineKeyboardButton("Opcao A", callback_data="opt_a"),
InlineKeyboardButton("Opcao B", callback_data="opt_b")],
[InlineKeyboardButton("Abrir Site", url="https://example.com")],
[InlineKeyboardButton("Compartilhar", switch_inline_query="texto")]
])
await bot.send_message(chat_id, "Escolha uma opcao:", reply_markup=keyboard)
## Handler De Callback
async def button_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
query = update.callback_query
await query.answer() # Importante: sempre responder o callback
await query.edit_message_text(f"Voce escolheu: {query.data}")
app.add_handler(CallbackQueryHandler(button_callback))from telegram import ReplyKeyboardMarkup, KeyboardButton
keyboard = ReplyKeyboardMarkup(
[[KeyboardButton("Enviar Localizacao", request_location=True)],
[KeyboardButton("Enviar Contato", request_contact=True)],
["Opcao 1", "Opcao 2"]],
resize_keyboard=True,
one_time_keyboard=True
)
await bot.send_message(chat_id, "Escolha:", reply_markup=keyboard)from telegram import ReplyKeyboardRemove
await bot.send_message(chat_id, "Teclado removido", reply_markup=ReplyKeyboardRemove())Existem duas formas de receber updates: Long Polling e Webhooks.
Mais simples, ideal para desenvolvimento. O bot faz requisicoes periodicas ao servidor do Telegram.
## Python-Telegram-Bot Ja Faz Isso Automaticamente
app.run_polling(allowed_updates=Update.ALL_TYPES)// Telegraf com polling
const bot = new Telegraf(token);
bot.launch();Para producao, webhooks sao mais eficientes. O Telegram envia updates via POST para sua URL HTTPS.
Leia references/webhook-setup.md para configuracao completa com Express, Flask, ngrok e deploy.
Setup rapido:
## Flask Webhook
from flask import Flask, request
import requests
app = Flask(__name__)
TOKEN = "SEU_TOKEN"
BASE = f"https://api.telegram.org/bot{TOKEN}"
@app.route(f"/webhook/{TOKEN}", methods=["POST"])
def webhook():
update = request.get_json()
if "message" in update and "text" in update["message"]:
chat_id = update["message"]["chat"]["id"]
text = update["message"]["text"]
requests.post(f"{BASE}/sendMessage", json={
"chat_id": chat_id,
"text": f"Recebi: {text}"
})
return "OK", 200
## Registrar Webhook
requests.post(f"{BASE}/setWebhook", json={
"url": "https://seu-dominio.com/webhook/" + TOKEN,
"allowed_updates": ["message", "callback_query"],
"secret_token": "seu_secret_seguro_aqui"
})Registre comandos para aparecerem no menu do Telegram:
from telegram import BotCommand
await bot.set_my_commands([
BotCommand("start", "Iniciar o bot"),
BotCommand("help", "Ver comandos disponiveis"),
BotCommand("settings", "Configuracoes"),
BotCommand("status", "Ver status do servico"),
])Via HTTP:
curl -X POST "https://api.telegram.org/bot$TOKEN/setMyCommands" \
-H "Content-Type: application/json" \
-d '{"commands":[{"command":"start","description":"Iniciar o bot"},{"command":"help","description":"Ajuda"}]}'Padrao para bot de atendimento com IA (Claude, GPT, etc.):
from telegram import Update
from telegram.ext import Application, MessageHandler, filters, ContextTypes
import anthropic # ou openai
client = anthropic.Anthropic()
user_conversations = {} # chat_id -> messages history
async def ai_response(update: Update, context: ContextTypes.DEFAULT_TYPE):
chat_id = update.message.chat_id
user_text = update.message.text
# Indicar que esta digitando
await context.bot.send_chat_action(chat_id, "typing")
# Manter historico
if chat_id not in user_conversations:
user_conversations[chat_id] = []
user_conversations[chat_id].append({"role": "user", "content": user_text})
# Chamar IA
response = client.messages.create(
model="claude-sonnet-4-20250514",
max_tokens=1024,
system="Voce e um assistente prestativo. Responda em portugues.",
messages=user_conversations[chat_id]
)
reply = response.content[0].text
user_conversations[chat_id].append({"role": "assistant", "content": reply})
# Limitar historico (ultimas 20 mensagens)
if len(user_conversations[chat_id]) > 20:
user_conversations[chat_id] = user_conversations[chat_id][-20:]
await update.message.reply_text(reply)
app = Application.builder().token(TOKEN).build()
app.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, ai_response))
app.run_polling()await bot.edit_message_text( chat_id=chat_id, message_id=msg.message_id, text="Texto atualizado!", parse_mode="HTML" )
await bot.edit_message_reply_markup( chat_id=chat_id, message_id=msg.message_id, reply_markup=new_keyboard )
await bot.delete_message(chat_id=chat_id, message_id=msg.message_id)
await bot.forward_message( chat_id=dest_chat_id, from_chat_id=source_chat_id, message_id=msg.message_id )
---
## Tratamento De Erros
```python
from telegram.error import TelegramError, BadRequest, TimedOut, NetworkError
async def safe_send(bot, chat_id, text, **kwargs):
"""Envio com retry e tratamento de erros."""
max_retries = 3
for attempt in range(max_retries):
try:
return await bot.send_message(chat_id, text, **kwargs)
except TimedOut:
if attempt < max_retries - 1:
await asyncio.sleep(2 ** attempt)
continue
raise
except BadRequest as e:
if "chat not found" in str(e).lower():
print(f"Chat {chat_id} nao encontrado")
return None
raise
except NetworkError:
if attempt < max_retries - 1:
await asyncio.sleep(2 ** attempt)
continue
raiseasyncio.sleep(0.05) entre envios para evitar floodSe receber erro 429 (Too Many Requests), respeite o retry_after retornado.
| Topico | Arquivo |
|---|---|
| Setup de webhooks | references/webhook-setup.md |
| Gerenciamento de chats | references/chat-management.md |
| Recursos avancados | references/advanced-features.md |
| Referencia completa da API | references/api-reference.md |
| Boilerplate Node.js | assets/boilerplate/nodejs/ |
| Boilerplate Python | assets/boilerplate/python/ |
| Exemplos de payloads | assets/examples/ |
instagram - Complementary skill for enhanced analysissocial-orchestrator - Complementary skill for enhanced analysiswhatsapp-cloud-api - Complementary skill for enhanced analysis© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/bash/telegram of majiayu000/claude-skill-registry.
Open the folder on GitHubat commit 2d14a69
We found 59 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 8, 2026.
…and 9 more copies not listed here.
Telegram next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Telegram this skillmajiayu000/claude-skill-registry | 666 | 3 repos | ~4k | Automated safety check: Pass | MIT | |
| Telegramdiegosouzapw/awesome-omni-skills | 159 | — | ~6.1k | Automated safety check: Pass | MIT | |
| Adobe App Builder Action Scaffolderadobe/skills | 196 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Telegram Bot Builderaiskillstore/marketplace | 430 | 3 repos | ~2.2k | Automated safety check: Notes | None | |
| Tlgrtlgrcli/tlgr | 193 | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Telegram Development Guide2025Emma/vibe-coding-cn | 23k | 1 repos | ~3.7k | Automated safety check: Pass | MIT |
diegosouzapw/awesome-omni-skills
Telegram Bot API - Integracao Profissional workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.
adobe/skills
Scaffolds, implements, deploys and debugs Adobe Runtime actions in App Builder projects, with templates for webhooks, events, database CRUD, sequences and Asset Compute workers.
aiskillstore/marketplace
Expert in building Telegram bots that solve real problems - from simple automation to complex AI-powered bots.
tlgrcli/tlgr
Read and act on a personal Telegram account from the terminal with the tlgr CLI (MTProto user account, not a bot).
2025Emma/vibe-coding-cn
Chinese-language guide to building on Telegram: bots through the Bot API, Mini Apps in JavaScript and custom clients through TDLib, with Python examples.
HHU3637kr/skills
Full-stack backend architecture and frontend-backend integration guide.
majiayu000/claude-skill-registry
Multi-source deep research using firecrawl and exa MCPs. An agent skill from majiayu000/claude-skill-registry.
majiayu000/claude-skill-registry
Neural search via Exa MCP for web, code, and company research.
majiayu000/claude-skill-registry
Unified media generation via fal.ai MCP — image, video, and audio.
majiayu000/claude-skill-registry
Interact with Zotero reference management libraries using the pyzotero Python client.
majiayu000/claude-skill-registry
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.
majiayu000/claude-skill-registry
Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner.
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Integracao completa com Telegram Bot API. An agent skill from majiayu000/claude-skill-registry. Telegram is an agent skill from majiayu000/claude-skill-registry. Integracao completa com Telegram Bot API.
Telegram fits situations like: tasks that involve Project scaffolding; tasks that involve Webhooks.
Run `npx skills add majiayu000/claude-skill-registry --skill telegram -a claude-code`. Or copy the skill folder (skills/bash/telegram in majiayu000/claude-skill-registry) into .claude/skills/telegram in your project. Claude Code loads it when a task matches its description.
Run `npx skills add majiayu000/claude-skill-registry --skill telegram -a codex`. Or copy the skill folder (skills/bash/telegram in majiayu000/claude-skill-registry) into .agents/skills/telegram in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill telegram -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/telegram, .gemini/skills/telegram, .github/skills/telegram and .opencode/skills/telegram in your project.
Going by SKILL.md and its folder, Telegram needs the command-line tools its instructions call (python and curl) and credentials named SEU_TOKEN and TELEGRAM_BOT_TOKEN. Our summary lists: Python 3; Node.js; A credential in SEU_TOKEN; A credential in TELEGRAM_BOT_TOKEN.
SKILL.md names 2 domains. In commands or code: api.telegram.org and seu-dominio.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Telegram is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Telegram: Telegram (diegosouzapw/awesome-omni-skills, 159 stars), Adobe App Builder Action Scaffolder (adobe/skills, 196 stars), Telegram Bot Builder (aiskillstore/marketplace, 430 stars) and Tlgr (tlgrcli/tlgr, 193 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.
Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.