telegram
OpenClaw skill for designing Telegram Bot API workflows and command-driven conversations using direct HTTPS requests (no SDKs).
Best use case
telegram is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
OpenClaw skill for designing Telegram Bot API workflows and command-driven conversations using direct HTTPS requests (no SDKs).
Teams using telegram should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/telegram/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How telegram Compares
| Feature / Agent | telegram | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
OpenClaw skill for designing Telegram Bot API workflows and command-driven conversations using direct HTTPS requests (no SDKs).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Telegram Bot Skill (Advanced) ## Purpose Provide a clean, production-oriented guide for building Telegram bot workflows via the Bot API, focusing on command UX, update handling, and safe operations using plain HTTPS. ## Best fit - You want a command-first bot that behaves professionally. - You need a reliable update flow (webhook or polling). - You prefer direct HTTP calls instead of libraries. ## Not a fit - You require a full SDK or framework integration. - You need complex media uploads and streaming in-process. ## Quick orientation - Read `references/telegram-bot-api.md` for endpoints, update types, and request patterns. - Read `references/telegram-commands-playbook.md` for command UX and messaging style. - Read `references/telegram-update-routing.md` for update normalization and routing rules. - Read `references/telegram-request-templates.md` for HTTP payload templates. - Keep this SKILL.md short and use references for details. ## Required inputs - Bot token and base API URL. - Update strategy: webhook or long polling. - Command list and conversation tone. - Allowed update types and rate-limit posture. ## Expected output - A clear command design, update flow plan, and operational checklist. ## Operational notes - Prefer strict command routing: `/start`, `/help`, `/settings`, `/status`. - Always validate incoming update payloads and chat context. - Handle 429s with backoff and avoid message bursts. ## Security notes - Never log tokens. - Use webhooks with a secret token header when possible.
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