Compose Multiplatform Patterns
monta-app/ocpp-emulator
Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI.
Handles inline keyboard button presses and provides user feedback via answerCallbackQuery.
$ npx skills add vendelieu/telegram-bot --skill handle-callback-query -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vendelieu/telegram-bot handle-callback-query --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/handle-callback-query .claude/skills/handle-callback-query && 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 "handle-callback-query" agent skill from https://github.com/vendelieu/telegram-bot/tree/master/.cursor/skills/handle-callback-query into .claude/skills/handle-callback-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "handle-callback-query", 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/handle-callback-queryType 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 handle-callback-query -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vendelieu/telegram-bot handle-callback-query --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/handle-callback-query .agents/skills/handle-callback-query && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "handle-callback-query" agent skill from https://github.com/vendelieu/telegram-bot/tree/master/.cursor/skills/handle-callback-query into .agents/skills/handle-callback-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "handle-callback-query", 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 handle-callback-query -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vendelieu/telegram-bot handle-callback-query --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/handle-callback-query .cursor/skills/handle-callback-query && 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 "handle-callback-query" agent skill from https://github.com/vendelieu/telegram-bot/tree/master/.cursor/skills/handle-callback-query into .cursor/skills/handle-callback-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "handle-callback-query", 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/handle-callback-query--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 handle-callback-query -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vendelieu/telegram-bot handle-callback-query --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/handle-callback-query .gemini/skills/handle-callback-query && 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 "handle-callback-query" agent skill from https://github.com/vendelieu/telegram-bot/tree/master/.cursor/skills/handle-callback-query into .gemini/skills/handle-callback-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "handle-callback-query", 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 handle-callback-queryInstalls 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 handle-callback-query -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/handle-callback-query .github/skills/handle-callback-query && 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 "handle-callback-query" agent skill from https://github.com/vendelieu/telegram-bot/tree/master/.cursor/skills/handle-callback-query into .github/skills/handle-callback-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "handle-callback-query", 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 handle-callback-query -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 handle-callback-query --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/handle-callback-query .opencode/skills/handle-callback-query && 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 "handle-callback-query" agent skill from https://github.com/vendelieu/telegram-bot/tree/master/.cursor/skills/handle-callback-query into .opencode/skills/handle-callback-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "handle-callback-query", 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.
handle-callback-queryHandles inline keyboard button presses and provides user feedback via answerCallbackQuery.
Handle Callback Query is an agent skill from vendelieu/telegram-bot. Handles inline keyboard button presses and provides user feedback via answerCallbackQuery. Use when processing callback queries, answering button clicks, or updating messages after inline button interaction.
Its SKILL.md is about 820 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 Mobile, covering Chatbots and conversational support and Android development. 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.
Handle Callback Query loads about 824 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 160 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). 160 words, ~824 tokens.
.claude/skills/handle-callback-query/SKILL.md (or your agent's skills folder).Register a handler and always answer the callback query to stop the loading state:
bot.setFunctionality {
onCallbackQuery {
val cq = update.callbackQuery
answerCallbackQuery(cq.id).options { text = "Done!" }.send(user, bot)
when (cq.data) {
"yes" -> message("You said yes!").send(user, bot)
"no" -> message("You said no.").send(user, bot)
}
}
}onCallbackQuery { } — typed ActivityCtx<CallbackQueryUpdate>@CommandHandler.CallbackQuery(["prefix"]) with optional autoAnswer = trueupdate.callbackQuery — the CallbackQuerycallbackQuery.id — required for answerCallbackQuerycallbackQuery.data — button data (1-64 bytes), may be nullcallbackQuery.from — user who pressedcallbackQuery.message — message with the button (if any)Always call answerCallbackQuery to remove the loading state:
answerCallbackQuery(callbackQuery.id).send(user, bot)With options:
answerCallbackQuery(callbackQuery.id).options {
text = "Saved!" // Notification text (0-200 chars)
showAlert = true // Alert instead of top notification
url = "https://..." // URL to open (e.g. t.me/bot?start=xxx)
cacheTime = 60 // Cache result (seconds)
}.send(user, bot)Use prefixes for routing: "action:id", "vote:123":
cq.data?.split(":", limit = 2)?.let { (action, id) ->
when (action) {
"vote" -> handleVote(id.toLong())
"page" -> showPage(id.toInt())
}
}Maps handler parameters to keys in the parsed parameters map. Use with @CommandHandler.CallbackQuery when the ArgumentParser extracts named values from callback data (e.g. page=1, id=123):
@CommandHandler.CallbackQuery(["vote"], autoAnswer = true)
suspend fun handleVote(
@ParamMapping("id") itemId: Long,
user: User,
bot: TelegramBot
) {
message("Voted for $itemId").send(user, bot)
}@ParamMapping("name") — parameter is resolved from parameters["name"] (parsed by ArgumentParser)After handling, optionally edit the message or its markup:
editMessageText — change texteditMessageReplyMarkup — change/remove buttons© 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/handle-callback-query of vendelieu/telegram-bot.
Open the folder on GitHubat commit 1dbfd00
Handle Callback Query 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 |
|---|---|---|---|---|---|---|
| Handle Callback Query this skillvendelieu/telegram-bot | 249 | — | ~824 | Automated safety check: Pass | Apache-2.0 | |
| Compose Multiplatform Patternsmonta-app/ocpp-emulator | 180 | 5 repos | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Kotlin Patternsgetknit/knit | 131 | 5 repos | ~4.7k | Automated safety check: Pass | GPL-3.0 | |
| Summoncodeyousef/summon | 167 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Add JSON Schemayontrack/yontrack | 102 | — | ~883 | Automated safety check: Pass | MIT | |
| CometChat Android v5 Headless SDKcometchat/cometchat-skills | 130 | — | ~4k | Automated safety check: Pass | MIT |
monta-app/ocpp-emulator
Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI.
getknit/knit
Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.
codeyousef/summon
A skill your agent uses when developing applications with the Summon Kotlin Multiplatform UI framework.
yontrack/yontrack
Add a new downloadable JSON schema to the Resources page — Kotlin provider class only, auto-discovered by Spring.
cometchat/cometchat-skills
Builds chat on Android with your own UI against the headless CometChat Chat SDK v5, covering install, Jetifier conflicts, credentials and init-before-login ordering.
yontrack/yontrack
Scaffold a new Yontrack dashboard widget end-to-end — Kotlin AbstractWidget class with config data class, and two frontend components (display + form).
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.
Categories
Handles inline keyboard button presses and provides user feedback via answerCallbackQuery. Handle Callback Query is an agent skill from vendelieu/telegram-bot. Handles inline keyboard button presses and provides user feedback via answerCallbackQuery.
Handle Callback Query fits situations like: processing callback queries; answering button clicks; updating messages after inline button interaction.
Run `npx skills add vendelieu/telegram-bot --skill handle-callback-query -a claude-code`. Or copy the skill folder (.cursor/skills/handle-callback-query in vendelieu/telegram-bot) into .claude/skills/handle-callback-query in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vendelieu/telegram-bot --skill handle-callback-query -a codex`. Or copy the skill folder (.cursor/skills/handle-callback-query in vendelieu/telegram-bot) into .agents/skills/handle-callback-query 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 handle-callback-query -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/handle-callback-query, .gemini/skills/handle-callback-query, .github/skills/handle-callback-query and .opencode/skills/handle-callback-query in your project.
SKILL.md names no scripts, command-line tools or credentials: Handle Callback Query 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.
Handle Callback Query 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 824 tokens (SKILL.md is roughly 3.3k 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 Handle Callback Query: Compose Multiplatform Patterns (monta-app/ocpp-emulator, 180 stars), Kotlin Patterns (getknit/knit, 131 stars), Summon (codeyousef/summon, 167 stars) and Add JSON Schema (yontrack/yontrack, 102 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.