Plan, build, and validate Telegram Bot API integrations, webhooks or polling, inline interactions, and Mini Apps.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add gaelic-ghost/socket --skill telegram-bot-workflow --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Telegram Bot Workflow?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/gaelic-ghost-telegram-bot-workflow)More formats (shields.io, HTML) on the badges page.
---
name: telegram-bot-workflow
description: Plan, build, and validate Telegram Bot API integrations, webhooks or polling, inline interactions, and Mini Apps.
---
# Telegram Bot Workflow
## Workflow
1. Choose Bot API interaction, inline mode, group behavior, or Mini App. Use MTProto/TDLib only when building a Telegram client rather than a bot.
2. Register through BotFather and keep the token in the selected secret store; never commit it.
3. Decide between webhook delivery and polling based on the deployed runtime, public endpoint, and local-development needs. Do not run both against the same update stream.
4. Account for the initiation boundary: bots cannot begin a private chat before a user starts one or adds the bot to a group.
5. Use update IDs for idempotency, acknowledge callback queries promptly, and design keyboards or Mini App actions with authorization and expiry checks.
6. Test private chat, group privacy mode, callback handling, duplicate updates, bot restart, and command discovery.
## Handoffs
Use [Telegram's Bot API](https://core.telegram.org/bots/api) and [Bots introduction](https://core.telegram.org/bots) as primary sources. Hand HTTP service work to the chosen server stack skill.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.