Team Tasks
win4r/team-tasks
Coordinate multi-agent development pipelines using shared JSON task files.
Send Telegram messages, files, and alerts via bot API; read replies; ask questions with inline buttons and wait for the answer (approve-from-phone).
$ npx skills add sanjay3290/ai-skills --skill telegram -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sanjay3290/ai-skills 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/sanjay3290/ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/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/sanjay3290/ai-skills/tree/main/skills/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/sanjay3290/ai-skills/tree/main/skills/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 sanjay3290/ai-skills --skill telegram -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sanjay3290/ai-skills telegram --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/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/sanjay3290/ai-skills/tree/main/skills/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 sanjay3290/ai-skills --skill telegram -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sanjay3290/ai-skills telegram --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/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/sanjay3290/ai-skills/tree/main/skills/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/sanjay3290/ai-skills.git --path skills/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 sanjay3290/ai-skills --skill telegram -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sanjay3290/ai-skills telegram --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/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/sanjay3290/ai-skills/tree/main/skills/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 sanjay3290/ai-skills 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 sanjay3290/ai-skills --skill telegram -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/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/sanjay3290/ai-skills/tree/main/skills/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 sanjay3290/ai-skills --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 sanjay3290/ai-skills telegram --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/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/sanjay3290/ai-skills/tree/main/skills/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.
telegramSend Telegram messages, files, and alerts via bot API; read replies; ask questions with inline buttons and wait for the answer (approve-from-phone).
Telegram is an agent skill from sanjay3290/ai-skills. Send Telegram messages, files, and alerts via bot API; read replies; ask questions with inline buttons and wait for the answer (approve-from-phone). Supports multiple bots and named chat targets. Use when the user wants to send a Telegram message or alert, get notified on Telegram when a task finishes or needs input, ask for approval via Telegram, or wire Telegram notifications into hooks, cron jobs, or CI. Triggers: 'telegram', 'send me a telegram', 'alert me on telegram', 'ask me on telegram', 'notify me when…
Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `README.md` and `scripts/telegram.sh`).
It sits in Agent Workflows. It works with Telegram. The repository describes itself as: 24 cross-platform agent skills for Claude Code, Cursor, Codex & Gemini CLI — databases, messaging, research, TTS, DevOps, and Google Workspace. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 281d88d. 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.
Ships 1 file in scripts/ (Shell), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
TELEGRAM_BOT_TOKENBOT_ALERTS_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Telegram loads about 643 tokens when it runs. Until then it costs about 133 tokens; SKILL.md has 70 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); the scripts in this folder are not scanned.
The full file from sanjay3290/ai-skills at commit 281d88d, republished under its Apache-2.0 licence (© sanjay3290). 70 words, ~643 tokens.
.claude/skills/telegram/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Send updates, alerts, and files to Telegram; read replies; run ask-and-wait approval flows. Pure bash + curl + jq — no install beyond a bot token.
First run: scripts/telegram.sh setup (guided BotFather walkthrough).
scripts/telegram.sh send "Deploy finished ✅" # basic alert
scripts/telegram.sh send "low priority" --silent # no notification sound
scripts/telegram.sh send "*bold* alert" --format md # MarkdownV2 (falls back to plain)
scripts/telegram.sh send "hi" --to alerts --bot work # named target + named bot
scripts/telegram.sh file report.pdf "Q3 report" # document (photos auto-detected)
scripts/telegram.sh read # new incoming messages since last read
ANSWER=$(scripts/telegram.sh ask "Deploy to prod?" --options "Yes,No" --timeout 300)
# exit 0 = answered (stdout = answer), 2 = timeoutEnv vars win, then ~/.config/telegram/config (mode 600):
TELEGRAM_BOT_TOKEN=123:ABC... # default bot
TELEGRAM_CHAT_ID=987654321 # default target
BOT_ALERTS_TOKEN=456:DEF... # --bot alerts (add via: setup --bot alerts)
TARGET_FAMILY=-100987... # --to family (any chat/group/channel id)Replies and answers are only accepted from configured chat IDs.
Ping your phone when Claude needs input, and when it finishes:
{
"hooks": {
"Notification": [{"hooks": [{"type": "command",
"command": "~/.claude/skills/telegram/scripts/telegram.sh send \"🔔 Claude needs input in $(basename \\\"$PWD\\\")\""}]}],
"Stop": [{"hooks": [{"type": "command",
"command": "~/.claude/skills/telegram/scripts/telegram.sh send \"✅ Claude finished in $(basename \\\"$PWD\\\")\" --silent"}]}]
}
}Approval gate in any script/automation:
if [ "$(scripts/telegram.sh ask 'Deploy to prod?' --options 'Yes,No')" = "Yes" ]; then
./deploy.sh
fi© sanjay3290, Apache-2.0. 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 2 other files (scripts) in skills/telegram of sanjay3290/ai-skills.
Open the folder on GitHubat commit 281d88d
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 skillsanjay3290/ai-skills | 431 | — | ~643 | Automated safety check: Pass | Apache-2.0 | |
| Team Taskswin4r/team-tasks | 446 | — | ~2.9k | Automated safety check: Pass | None | |
| Chat SDKdatabuddy-analytics/Databuddy | 1.2k | — | ~2.6k | Automated safety check: Pass | AGPL-3.0 | |
| Agenticmailagenticmail/agenticmail | 235 | — | ~3.9k | Automated safety check: Pass | MIT | |
| Test Ocas Openclawpwrdrvr/openclaw-codex-app-server | 265 | — | ~4k | Automated safety check: Pass | MIT | |
| TelegramAIOSAI/AIPass | 288 | — | ~4.9k | Automated safety check: Pass | MIT |
win4r/team-tasks
Coordinate multi-agent development pipelines using shared JSON task files.
databuddy-analytics/Databuddy
Build multi-platform chat bots with Chat SDK (chat npm package).
agenticmail/agenticmail
🎀 AgenticMail — Full email, SMS, phone call-control, Telegram, media, memory, storage & multi-agent coordination for AI agents.
pwrdrvr/openclaw-codex-app-server
Regression test the OpenClaw Codex App Server plugin against a live local OpenClaw instance in Telegram or Discord.
AIOSAI/AIPass
Multi-bot Telegram bridge — routes messages between Telegram and Claude tmux sessions
coddy-project/coddy-agent
Change Coddy's own configuration when the user asks for it: edit settings, providers, models, logging, permissions, or find, install, update, and remove MCP servers and skills.
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
sanjay3290/ai-skills
Generate images using Google Gemini's image generation capabilities.
sanjay3290/ai-skills
Send and receive WhatsApp messages via the unofficial linked-device client pywhats (pip install pywhats) — pair with QR, send text/images, group chat, read receipts, presence/typing, and a…
sanjay3290/ai-skills
Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports.
sanjay3290/ai-skills
Convert documents and text to audio using ElevenLabs text-to-speech.
sanjay3290/ai-skills
Execute read-only SQL queries against multiple PostgreSQL databases.
Works with
Categories
Send Telegram messages, files, and alerts via bot API; read replies; ask questions with inline buttons and wait for the answer (approve-from-phone). Telegram is an agent skill from sanjay3290/ai-skills. Send Telegram messages, files, and alerts via bot API; read replies; ask questions with inline buttons and wait for the answer (approve-from-phone).
Telegram fits situations like: the user wants to send a Telegram message; get notified on Telegram when a task finishes; ask for approval via Telegram; wire Telegram notifications into hooks.
Run `npx skills add sanjay3290/ai-skills --skill telegram -a claude-code`. Or copy the skill folder (skills/telegram in sanjay3290/ai-skills) into .claude/skills/telegram in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sanjay3290/ai-skills --skill telegram -a codex`. Or copy the skill folder (skills/telegram in sanjay3290/ai-skills) 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 sanjay3290/ai-skills --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 a shell for the scripts in its folder and credentials named TELEGRAM_BOT_TOKEN and BOT_ALERTS_TOKEN. Our summary lists: A Bash shell; A credential in TELEGRAM_BOT_TOKEN; A credential in BOT_ALERTS_TOKEN.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Telegram is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 643 tokens (SKILL.md is roughly 2.6k 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: Team Tasks (win4r/team-tasks, 446 stars), Chat SDK (databuddy-analytics/Databuddy, 1.2k stars), Agenticmail (agenticmail/agenticmail, 235 stars) and Test Ocas Openclaw (pwrdrvr/openclaw-codex-app-server, 265 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sanjay3290 (a GitHub user) maintains it in sanjay3290/ai-skills, which has 431 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on September 10, 2026.
Source: sanjay3290/ai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.