Agent skill

Create Input Chain

by vendelieu in vendelieu/telegram-bot

Creates multi-step input chains for conversation flows using the telegram-bot DSL.

Apache-2.0Auto-check passedProductivity & Automation

Install Create Input Chain

skills CLI
$ npx skills add vendelieu/telegram-bot --skill create-input-chain -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install vendelieu/telegram-bot create-input-chain --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
create-input-chain
GitHub stars
249
Token cost
~511 tokens
SKILL.md length
125 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
Apache-2.0

At a glance

Creates multi-step input chains for conversation flows using the telegram-bot DSL.

  • Building simple multi-step dialogs without wizard state persistence
  • SKILL.md covers Quick Start, Structure, Context and When to Use, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • InputChain is preferred over @WizardHandler

What it does

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.

When your agent uses it

  • Building simple multi-step dialogs without wizard state persistence
  • InputChain is preferred over @WizardHandler

Example prompts

  • “Use the create-input-chain skill to create multi-step input chains for conversation flows using the telegram-bot DSL”
  • “/create-input-chain”

What it can do on your machine

Read from SKILL.md and the folder at commit 1dbfd00. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~511

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from vendelieu/telegram-bot at commit 1dbfd00, republished under its Apache-2.0 licence (© vendelieu). 125 words, ~511 tokens.

Download SKILL.mdSave it as .claude/skills/create-input-chain/SKILL.md (or your agent's skills folder).
name
create-input-chain
description
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.

Create Input Chain

Quick Start

Define a chain inside bot.setFunctionality { }. Set bot.inputListener[user] = "id" to start. The chain advances automatically after each step.

kotlin
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()

Structure

  • inputChain("id") { } — First step. Block runs when user sends a message while inputListener is "id".
  • andThen { } — Next step. Chain advances to this step after the previous block runs.
  • breakIf(condition, repeat = true, block) — On current step: if condition is true, run block. If repeat = true, stay on current step (user can re-enter). If repeat = false, do not re-register.

Context

Inside each block, ProcessingContext / ActivityCtx provides:

  • update — the ProcessedUpdate
  • message — shortcut for message content (when applicable)
  • update.getUser() — user reference

When to Use

  • Input chain: Simple linear flows, no typed state, quick setup
  • Wizard: Complex validation, typed state, Transition.JumpTo/Retry, state managers

Reference

© 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

Files

Just SKILL.md in .cursor/skills/create-input-chain of vendelieu/telegram-bot.

Open the folder on GitHubat commit 1dbfd00

Compare with similar skills

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.

Create Input Chain compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Create Input Chain this skillvendelieu/telegram-bot249—~511Automated safety check: PassApache-2.0
Pytdbotpytdbot/client137—~4.3kAutomated safety check: PassMIT
Setupterranc/claude-telegram-bot-bridge134—~1.5kAutomated safety check: NotesNone
Telegrambubbuild/bub1.7k—~2.2kAutomated safety check: PassApache-2.0
MuseKevPH2026/muse-catch128—~1.6kAutomated safety check: NotesAGPL-3.0
MuseKevPH2026/muse-catch128—~865Automated safety check: PassAGPL-3.0

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Works with

Questions about Create Input Chain

What does Create Input Chain do?

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.

When should I use Create Input Chain?

Create Input Chain fits situations like: building simple multi-step dialogs without wizard state persistence; inputChain is preferred over @WizardHandler.

How do I install Create Input Chain in Claude Code?

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.

How do I install Create Input Chain in Codex?

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.

Can I use Create Input Chain in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Create Input Chain need to run?

SKILL.md names no scripts, command-line tools or credentials: Create Input Chain is instructions for the agent only.

Does Create Input Chain access the network?

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.

Is Create Input Chain safe to install?

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.

What licence does Create Input Chain use?

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.

How many tokens does Create Input Chain use?

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.

What are the alternatives to Create Input Chain?

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.

Who maintains Create Input Chain?

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.