Pytdbot
pytdbot/client
Write Telegram bots and userbots with Pytdbot (async TDLib wrapper with high-level helpers; not the Telegram Bot API).
Creates multi-step input chains for conversation flows using the telegram-bot DSL.
$ npx skills add vendelieu/telegram-bot --skill create-input-chain -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vendelieu/telegram-bot create-input-chain --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/vendelieu/telegram-bot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/create-input-chain .claude/skills/create-input-chain && 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 "create-input-chain" agent skill from https://github.com/vendelieu/telegram-bot/tree/master/.cursor/skills/create-input-chain into .claude/skills/create-input-chain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-input-chain", 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/vendelieu/telegram-bot/tree/master/.cursor/skills/create-input-chainType 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 vendelieu/telegram-bot --skill create-input-chain -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vendelieu/telegram-bot create-input-chain --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vendelieu/telegram-bot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.cursor/skills/create-input-chain .agents/skills/create-input-chain && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "create-input-chain" agent skill from https://github.com/vendelieu/telegram-bot/tree/master/.cursor/skills/create-input-chain into .agents/skills/create-input-chain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-input-chain", 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 vendelieu/telegram-bot --skill create-input-chain -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vendelieu/telegram-bot create-input-chain --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vendelieu/telegram-bot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.cursor/skills/create-input-chain .cursor/skills/create-input-chain && 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 "create-input-chain" agent skill from https://github.com/vendelieu/telegram-bot/tree/master/.cursor/skills/create-input-chain into .cursor/skills/create-input-chain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-input-chain", 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/vendelieu/telegram-bot.git --path .cursor/skills/create-input-chain--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 vendelieu/telegram-bot --skill create-input-chain -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vendelieu/telegram-bot create-input-chain --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vendelieu/telegram-bot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.cursor/skills/create-input-chain .gemini/skills/create-input-chain && 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 "create-input-chain" agent skill from https://github.com/vendelieu/telegram-bot/tree/master/.cursor/skills/create-input-chain into .gemini/skills/create-input-chain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-input-chain", 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 vendelieu/telegram-bot create-input-chainInstalls 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 vendelieu/telegram-bot --skill create-input-chain -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vendelieu/telegram-bot.git skills-src && mkdir -p .github/skills && cp -r skills-src/.cursor/skills/create-input-chain .github/skills/create-input-chain && 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 "create-input-chain" agent skill from https://github.com/vendelieu/telegram-bot/tree/master/.cursor/skills/create-input-chain into .github/skills/create-input-chain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-input-chain", 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 vendelieu/telegram-bot --skill create-input-chain -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vendelieu/telegram-bot create-input-chain --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vendelieu/telegram-bot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.cursor/skills/create-input-chain .opencode/skills/create-input-chain && 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 "create-input-chain" agent skill from https://github.com/vendelieu/telegram-bot/tree/master/.cursor/skills/create-input-chain into .opencode/skills/create-input-chain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-input-chain", 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.
create-input-chainCreates multi-step input chains for conversation flows using the telegram-bot DSL.
Create Input Chain is an agent skill from vendelieu/telegram-bot. Creates multi-step input chains for conversation flows using the telegram-bot DSL. Use when building simple multi-step dialogs without wizard state persistence, or when inputChain is preferred over @WizardHandler.
Its SKILL.md is about 510 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Chatbots and conversational support and Agent memory. It works with Telegram and Kotlin. The repository describes itself as: Telegram Bot API wrapper with handy Kotlin DSL. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 1dbfd00. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are kotlin).
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 no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Create Input Chain loads about 511 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 125 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 vendelieu/telegram-bot at commit 1dbfd00, republished under its Apache-2.0 licence (© vendelieu). 125 words, ~511 tokens.
.claude/skills/create-input-chain/SKILL.md (or your agent's skills folder).Define a chain inside bot.setFunctionality { }. Set bot.inputListener[user] = "id" to start. The chain advances automatically after each step.
bot.setFunctionality {
onCommand("/start") {
message { "What's your name?" }.send(user, bot)
bot.inputListener[user] = "conversation"
}
inputChain("conversation") {
message { "Nice to meet you, ${message.text}!" }.send(update.getUser(), bot)
message { "What's your favorite food?" }.send(update.getUser(), bot)
}.breakIf({ message.text == "peanut butter" }) {
message { "Oh, too bad, I'm allergic." }.send(update.getUser(), bot)
}.andThen {
message { "Thanks! You said: ${message.text}" }.send(update.getUser(), bot)
}
}
bot.handleUpdates()inputListener is "id".repeat = true, stay on current step (user can re-enter). If repeat = false, do not re-register.Inside each block, ProcessingContext / ActivityCtx provides:
update — the ProcessedUpdatemessage — shortcut for message content (when applicable)update.getUser() — user referenceTransition.JumpTo/Retry, state managers© vendelieu, 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
Just SKILL.md in .cursor/skills/create-input-chain of vendelieu/telegram-bot.
Open the folder on GitHubat commit 1dbfd00
Create Input Chain 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 |
|---|---|---|---|---|---|---|
| Create Input Chain this skillvendelieu/telegram-bot | 249 | — | ~511 | Automated safety check: Pass | Apache-2.0 | |
| Pytdbotpytdbot/client | 137 | — | ~4.3k | Automated safety check: Pass | MIT | |
| Setupterranc/claude-telegram-bot-bridge | 134 | — | ~1.5k | Automated safety check: Notes | None | |
| Telegrambubbuild/bub | 1.7k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| MuseKevPH2026/muse-catch | 128 | — | ~1.6k | Automated safety check: Notes | AGPL-3.0 | |
| MuseKevPH2026/muse-catch | 128 | — | ~865 | Automated safety check: Pass | AGPL-3.0 |
pytdbot/client
Write Telegram bots and userbots with Pytdbot (async TDLib wrapper with high-level helpers; not the Telegram Bot API).
terranc/claude-telegram-bot-bridge
Install and configure the Telegram Skill Bot. An agent skill from terranc/claude-telegram-bot-bridge.
bubbuild/bub
Telegram Bot skill for sending and editing Telegram messages via Bot API.
KevPH2026/muse-catch
Muse · Catch — AI 灵感捕手。浏览器插件 + 任意 Agent(Telegram/WhatsApp/Discord…)一键捕获灵感,AI自动提炼,Web Dashboard浏览。分级LLM路由:Agent内置LLM隐私分析 + TokenRouter云端分布式调用。当用户说「灵感」「捕获」「Muse」「Catch」「记下来」「收藏」「稍后读」时自动触发。
KevPH2026/muse-catch
Muse · Catch — AI灵感捕手。浏览器插件+Telegram Bot一键捕获,AI自动提炼,Dashboard浏览+DNA雷达+OPC Market。当用户说「灵感」「捕获」「Muse」「Catch」「记下来」「收藏」时触发。
CraftOS-dev/CraftBot
Manage and configure Telegram bots for OpenClaw. An agent skill from CraftOS-dev/CraftBot.
vendelieu/telegram-bot
Adds tests for the ktnip KSP processor. An agent skill from vendelieu/telegram-bot.
vendelieu/telegram-bot
Adds a new parameter resolution strategy to the ktnip KSP processor.
vendelieu/telegram-bot
Adds a new Telegram Bot API method (action class and top-level functions).
vendelieu/telegram-bot
Writes tests for Telegram Bot API actions. An agent skill from vendelieu/telegram-bot.
vendelieu/telegram-bot
Adds a new field to the Update type and wires it through ProcessedUpdate, UpdateType, ProcessUpdate, KSP (TypeConstants, TypeMapper), and FunctionalDSLUtils.
vendelieu/telegram-bot
Configures @WizardHandler annotation for wizard flows. An agent skill from vendelieu/telegram-bot.
Creates multi-step input chains for conversation flows using the telegram-bot DSL. Create Input Chain is an agent skill from vendelieu/telegram-bot. Creates multi-step input chains for conversation flows using the telegram-bot DSL.
Create Input Chain fits situations like: building simple multi-step dialogs without wizard state persistence; inputChain is preferred over @WizardHandler.
Run `npx skills add vendelieu/telegram-bot --skill create-input-chain -a claude-code`. Or copy the skill folder (.cursor/skills/create-input-chain in vendelieu/telegram-bot) into .claude/skills/create-input-chain in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vendelieu/telegram-bot --skill create-input-chain -a codex`. Or copy the skill folder (.cursor/skills/create-input-chain in vendelieu/telegram-bot) into .agents/skills/create-input-chain 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 vendelieu/telegram-bot --skill create-input-chain -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-input-chain, .gemini/skills/create-input-chain, .github/skills/create-input-chain and .opencode/skills/create-input-chain in your project.
SKILL.md names no scripts, command-line tools or credentials: Create Input Chain is instructions for the agent only.
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. Review the folder before installing.
Create Input Chain 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 511 tokens (SKILL.md is roughly 2k 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 Create Input Chain: Pytdbot (pytdbot/client, 137 stars), Setup (terranc/claude-telegram-bot-bridge, 134 stars), Telegram (bubbuild/bub, 1.7k stars) and Muse (KevPH2026/muse-catch, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vendelieu (a GitHub user) maintains it in vendelieu/telegram-bot, which has 249 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 4, 2026.
Source: vendelieu/telegram-bot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.