Agent skill

Add Telegram Swarm

by sbusso in sbusso/claudeclaw

Add Agent Swarm (Teams) support to Telegram. An agent skill from sbusso/claudeclaw.

MITAuto-check: notesAgent Workflows

Install Add Telegram Swarm

skills CLI
$ npx skills add sbusso/claudeclaw --skill add-telegram-swarm -a claude-code

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

GitHub CLI
$ gh skill install sbusso/claudeclaw add-telegram-swarm --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/sbusso/claudeclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/add-telegram-swarm .claude/skills/add-telegram-swarm && 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
add-telegram-swarm
GitHub stars
194
Token cost
~3.7k tokens
SKILL.md length
980 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

Add Agent Swarm (Teams) support to Telegram. An agent skill from sbusso/claudeclaw.

  • Works in 10 steps: Create Pool Bots → Disable Group Privacy for Pool Bots → Update Configuration → …
  • Agent teams telegram
  • SKILL.md covers How It Works, Prerequisites, Implementation and Architecture Notes, plus 2 more sections
  • Calls npm and curl; reaches api.telegram.org; needs TELEGRAM_BOT_TOKEN

What it does

Add Telegram Swarm is an agent skill from sbusso/claudeclaw. Add Agent Swarm (Teams) support to Telegram. Each subagent gets its own bot identity in the group. Requires Telegram channel to be set up first (use /add-telegram). Triggers on "agent swarm", "agent teams telegram", "telegram swarm", "bot pool".

Its SKILL.md is about 3.7k 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 Agent Workflows, covering Multi-agent orchestration and Subagents. It works with Telegram. The repository describes itself as: Use Claude to orchestrate agents like OpenClaw. The licence is MIT.

When your agent uses it

  • Agent teams telegram
  • Tasks that involve Multi-agent orchestration
  • Tasks that involve Subagents

Example prompts

  • “agent swarm”
  • “agent teams telegram”
  • “telegram swarm”
  • “/add-telegram-swarm”

Requirements

  • Docker
  • A credential in TELEGRAM_BOT_TOKEN

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Create Pool Bots
  2. Disable Group Privacy for Pool Bots
  3. Update Configuration
  4. Add Bot Pool to Telegram Module
  5. Add sender Parameter to MCP Tool
  6. Update Host IPC Routing
  7. Update CLAUDE.md Files
  8. Update Environment
  9. Rebuild and Restart
  10. Test

What it can do on your machine

Read from SKILL.md and the folder at commit 1395af4. 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

    Shell commands in SKILL.md call:

    • npm
    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.telegram.org

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • TELEGRAM_BOT_TOKEN

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

Context cost

Add Telegram Swarm loads about 3.7k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 980 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:305
    Add pool tokens to `.env`:
  • NoteMentions a .env fileSKILL.md:314
    cp .env data/env/env
  • NoteMentions a .env fileSKILL.md:385
    7. Remove `TELEGRAM_BOT_POOL` from `.env`, `data/env/env`, and launchd plist/systemd unit

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 sbusso/claudeclaw at commit 1395af4, republished under its MIT licence (© sbusso). 980 words, ~3,693 tokens.

Download SKILL.mdSave it as .claude/skills/add-telegram-swarm/SKILL.md (or your agent's skills folder).
name
add-telegram-swarm
description
Add Agent Swarm (Teams) support to Telegram. Each subagent gets its own bot identity in the group. Requires Telegram channel to be set up first (use /add-telegram). Triggers on "agent swarm", "agent teams telegram", "telegram swarm", "bot pool".

Add Agent Swarm to Telegram

This skill adds Agent Teams (Swarm) support to an existing Telegram channel. Each subagent in a team gets its own bot identity in the Telegram group, so users can visually distinguish which agent is speaking.

Prerequisite: Telegram must already be set up via the /add-telegram skill. If src/channels/telegram.ts does not exist or TELEGRAM_BOT_TOKEN is not configured, tell the user to run /add-telegram first.

How It Works

  • The main bot receives messages and sends lead agent responses (already set up by /add-telegram)
  • Pool bots are send-only — each gets a Grammy Api instance (no polling)
  • When a subagent calls send_message with a sender parameter, the host assigns a pool bot and renames it to match the sender's role
  • Messages appear in Telegram from different bot identities
Subagent calls send_message(text: "Found 3 results", sender: "Researcher")
  → MCP writes IPC file with sender field
  → Host IPC watcher picks it up
  → Assigns pool bot #2 to "Researcher" (round-robin, stable per-group)
  → Renames pool bot #2 to "Researcher" via setMyName
  → Sends message via pool bot #2's Api instance
  → Appears in Telegram from "Researcher" bot

Prerequisites

1. Create Pool Bots

Tell the user:

I need you to create 3-5 Telegram bots to use as the agent pool. These will be renamed dynamically to match agent roles.

  1. Open Telegram and search for @BotFather
  2. Send /newbot for each bot:
    • Give them any placeholder name (e.g., "Bot 1", "Bot 2")
    • Usernames like myproject_swarm_1_bot, myproject_swarm_2_bot, etc.
  3. Copy all the tokens
  4. Add all bots to your Telegram group(s) where you want agent teams

Wait for user to provide the tokens.

2. Disable Group Privacy for Pool Bots

Tell the user:

Important: Each pool bot needs Group Privacy disabled so it can send messages in groups.

For each pool bot in @BotFather:

  1. Send /mybots and select the bot
  2. Go to Bot Settings > Group Privacy > Turn off

Then add all pool bots to your Telegram group(s).

Implementation

Step 1: Update Configuration

Read src/orchestrator/config.ts and add the bot pool config near the other Telegram exports:

typescript
export const TELEGRAM_BOT_POOL = (process.env.TELEGRAM_BOT_POOL || '')
  .split(',')
  .map((t) => t.trim())
  .filter(Boolean);
Step 2: Add Bot Pool to Telegram Module

Read src/channels/telegram.ts and add the following:

  1. Update imports — add Api to the Grammy import:
typescript
import { Api, Bot } from 'grammy';
  1. Add pool state after the existing let bot declaration:
typescript
// Bot pool for agent teams: send-only Api instances (no polling)
const poolApis: Api[] = [];
// Maps "{groupFolder}:{senderName}" → pool Api index for stable assignment
const senderBotMap = new Map<string, number>();
let nextPoolIndex = 0;
  1. Add pool functions — place these before the isTelegramConnected function:
typescript
/**
 * Initialize send-only Api instances for the bot pool.
 * Each pool bot can send messages but doesn't poll for updates.
 */
export async function initBotPool(tokens: string[]): Promise<void> {
  for (const token of tokens) {
    try {
      const api = new Api(token);
      const me = await api.getMe();
      poolApis.push(api);
      logger.info(
        { username: me.username, id: me.id, poolSize: poolApis.length },
        'Pool bot initialized',
      );
    } catch (err) {
      logger.error({ err }, 'Failed to initialize pool bot');
    }
  }
  if (poolApis.length > 0) {
    logger.info({ count: poolApis.length }, 'Telegram bot pool ready');
  }
}

/**
 * Send a message via a pool bot assigned to the given sender name.
 * Assigns bots round-robin on first use; subsequent messages from the
 * same sender in the same group always use the same bot.
 * On first assignment, renames the bot to match the sender's role.
 */
export async function sendPoolMessage(
  chatId: string,
  text: string,
  sender: string,
  groupFolder: string,
): Promise<void> {
  if (poolApis.length === 0) {
    // No pool bots — fall back to main bot
    await sendTelegramMessage(chatId, text);
    return;
  }

  const key = `${groupFolder}:${sender}`;
  let idx = senderBotMap.get(key);
  if (idx === undefined) {
    idx = nextPoolIndex % poolApis.length;
    nextPoolIndex++;
    senderBotMap.set(key, idx);
    // Rename the bot to match the sender's role, then wait for Telegram to propagate
    try {
      await poolApis[idx].setMyName(sender);
      await new Promise((r) => setTimeout(r, 2000));
      logger.info({ sender, groupFolder, poolIndex: idx }, 'Assigned and renamed pool bot');
    } catch (err) {
      logger.warn({ sender, err }, 'Failed to rename pool bot (sending anyway)');
    }
  }

  const api = poolApis[idx];
  try {
    const numericId = chatId.replace(/^tg:/, '');
    const MAX_LENGTH = 4096;
    if (text.length <= MAX_LENGTH) {
      await api.sendMessage(numericId, text);
    } else {
      for (let i = 0; i < text.length; i += MAX_LENGTH) {
        await api.sendMessage(numericId, text.slice(i, i + MAX_LENGTH));
      }
    }
    logger.info({ chatId, sender, poolIndex: idx, length: text.length }, 'Pool message sent');
  } catch (err) {
    logger.error({ chatId, sender, err }, 'Failed to send pool message');
  }
}
Step 3: Add sender Parameter to MCP Tool

Read agent/runner/src/ipc-mcp-stdio.ts and update the send_message tool to accept an optional sender parameter:

Change the tool's schema from:

typescript
{ text: z.string().describe('The message text to send') },

To:

typescript
{
  text: z.string().describe('The message text to send'),
  sender: z.string().optional().describe('Your role/identity name (e.g. "Researcher"). When set, messages appear from a dedicated bot in Telegram.'),
},

And update the handler to include sender in the IPC data:

typescript
async (args) => {
    const data: Record<string, string | undefined> = {
      type: 'message',
      chatJid,
      text: args.text,
      sender: args.sender || undefined,
      groupFolder,
      timestamp: new Date().toISOString(),
    };

    writeIpcFile(MESSAGES_DIR, data);

    return { content: [{ type: 'text' as const, text: 'Message sent.' }] };
  },
Step 4: Update Host IPC Routing

Read src/orchestrator/ipc.ts and make these changes:

  1. Add imports — add sendPoolMessage and initBotPool from the Telegram swarm module, and TELEGRAM_BOT_POOL from config.

  2. Update IPC message routing — in src/orchestrator/ipc.ts, find where the sendMessage dependency is called to deliver IPC messages (inside processIpcFiles). The sendMessage is passed in via the IpcDeps parameter. Wrap it to route Telegram swarm messages through the bot pool:

typescript
if (data.sender && data.chatJid.startsWith('tg:')) {
  await sendPoolMessage(
    data.chatJid,
    data.text,
    data.sender,
    sourceGroup,
  );
} else {
  await deps.sendMessage(data.chatJid, data.text);
}

Note: The assistant name prefix is handled by formatOutbound() in the router — Telegram channels have prefixAssistantName = false so no prefix is added for tg: JIDs.

  1. Initialize pool in main() in src/index.ts — after creating the Telegram channel, add:
typescript
if (TELEGRAM_BOT_POOL.length > 0) {
  await initBotPool(TELEGRAM_BOT_POOL);
}
Step 5: Update CLAUDE.md Files
5a. Add global message formatting rules

Read groups/global/CLAUDE.md and add a Message Formatting section:

markdown
## Message Formatting

NEVER use markdown. Only use WhatsApp/Telegram formatting:
- *single asterisks* for bold (NEVER **double asterisks**)
- _underscores_ for italic
- • bullet points
- ```triple backticks``` for code

No ## headings. No [links](url). No **double stars**.
5b. Update existing group CLAUDE.md headings

In any group CLAUDE.md that has a "WhatsApp Formatting" section (e.g. groups/main/CLAUDE.md), rename the heading to reflect multi-channel support:

## WhatsApp Formatting (and other messaging apps)
5c. Add Agent Teams instructions to Telegram groups

For each Telegram group that will use agent teams, create or update its groups/{folder}/CLAUDE.md with these instructions. Read the existing CLAUDE.md first (or groups/global/CLAUDE.md as a base) and add the Agent Teams section:

markdown
## Agent Teams

When creating a team to tackle a complex task, follow these rules:

### CRITICAL: Follow the user's prompt exactly

Create *exactly* the team the user asked for — same number of agents, same roles, same names. Do NOT add extra agents, rename roles, or use generic names like "Researcher 1". If the user says "a marine biologist, a physicist, and Alexander Hamilton", create exactly those three agents with those exact names.

### Team member instructions

Each team member MUST be instructed to:

1. *Share progress in the group* via `mcp__claudeclaw__send_message` with a `sender` parameter matching their exact role/character name (e.g., `sender: "Marine Biologist"` or `sender: "Alexander Hamilton"`). This makes their messages appear from a dedicated bot in the Telegram group.
2. *Also communicate with teammates* via `SendMessage` as normal for coordination.
3. Keep group messages *short* — 2-4 sentences max per message. Break longer content into multiple `send_message` calls. No walls of text.
4. Use the `sender` parameter consistently — always the same name so the bot identity stays stable.
5. NEVER use markdown formatting. Use ONLY WhatsApp/Telegram formatting: single *asterisks* for bold (NOT **double**), _underscores_ for italic, • for bullets, ```backticks``` for code. No ## headings, no [links](url), no **double asterisks**.

### Example team creation prompt

When creating a teammate, include instructions like:

\```
You are the Marine Biologist. When you have findings or updates for the user, send them to the group using mcp__claudeclaw__send_message with sender set to "Marine Biologist". Keep each message short (2-4 sentences max). Use emojis for strong reactions. ONLY use single *asterisks* for bold (never **double**), _underscores_ for italic, • for bullets. No markdown. Also communicate with teammates via SendMessage.
\```

### Lead agent behavior

As the lead agent who created the team:

- You do NOT need to react to or relay every teammate message. The user sees those directly from the teammate bots.
- Send your own messages only to comment, share thoughts, synthesize, or direct the team.
- When processing an internal update from a teammate that doesn't need a user-facing response, wrap your *entire* output in `<internal>` tags.
- Focus on high-level coordination and the final synthesis.
Show full SKILL.md (421 more words)Show less
Step 6: Update Environment

Add pool tokens to .env:

bash
TELEGRAM_BOT_POOL=TOKEN1,TOKEN2,TOKEN3,...

Important: Sync to all required locations:

bash
cp .env data/env/env

Service name: Derived from the directory name: com.claudeclaw.<dirname> (macOS) / claudeclaw-<dirname> (Linux). For example, if cwd is my-assistant, the service is com.claudeclaw.my-assistant. Determine the correct service name before running service commands below.

Also add TELEGRAM_BOT_POOL to the launchd plist (~/Library/LaunchAgents/com.claudeclaw.plist) in the EnvironmentVariables dict if using launchd.

Step 7: Rebuild and Restart
bash
npm run build
./src/runtimes/docker/build.sh  # Required — MCP tool changed
# macOS:
launchctl unload ~/Library/LaunchAgents/com.claudeclaw.plist
launchctl load ~/Library/LaunchAgents/com.claudeclaw.plist
# Linux:
# systemctl --user restart claudeclaw

Must use unload/load (macOS) or restart (Linux) because the service env vars changed.

Step 8: Test

Tell the user:

Send a message in your Telegram group asking for a multi-agent task, e.g.: "Assemble a team of a researcher and a coder to build me a hello world app"

You should see:

  • The lead agent (main bot) acknowledging and creating the team
  • Each subagent messaging from a different bot, renamed to their role
  • Short, scannable messages from each agent

Check logs: tail -f logs/claudeclaw.log | grep -i pool

Architecture Notes

  • Pool bots use Grammy's Api class — lightweight, no polling, just send
  • Bot names are set via setMyName — changes are global to the bot, not per-chat
  • A 2-second delay after setMyName allows Telegram to propagate the name change before the first message
  • Sender→bot mapping is stable within a group (keyed as {groupFolder}:{senderName})
  • Mapping resets on service restart — pool bots get reassigned fresh
  • If pool runs out, bots are reused (round-robin wraps)

Troubleshooting

Pool bots not sending messages
  1. Verify tokens: curl -s "https://api.telegram.org/botTOKEN/getMe"
  2. Check pool initialized: grep "Pool bot" logs/claudeclaw.log
  3. Ensure all pool bots are members of the Telegram group
  4. Check Group Privacy is disabled for each pool bot
Bot names not updating

Telegram caches bot names client-side. The 2-second delay after setMyName helps, but users may need to restart their Telegram client to see updated names immediately.

Subagents not using send_message

Check the group's CLAUDE.md has the Agent Teams instructions. The lead agent reads this when creating teammates and must include the send_message + sender instructions in each teammate's prompt.

Removal

To remove Agent Swarm support while keeping basic Telegram:

  1. Remove TELEGRAM_BOT_POOL from src/orchestrator/config.ts
  2. Remove pool code from src/channels/telegram.ts (poolApis, senderBotMap, initBotPool, sendPoolMessage)
  3. Remove pool routing from IPC handler in src/index.ts (revert to plain sendMessage)
  4. Remove initBotPool call from main()
  5. Remove sender param from MCP tool in agent/runner/src/ipc-mcp-stdio.ts
  6. Remove Agent Teams section from group CLAUDE.md files
  7. Remove TELEGRAM_BOT_POOL from .env, data/env/env, and launchd plist/systemd unit
  8. Rebuild: npm run build && ./src/runtimes/docker/build.sh && launchctl unload ~/Library/LaunchAgents/com.claudeclaw.plist && launchctl load ~/Library/LaunchAgents/com.claudeclaw.plist (macOS) or npm run build && ./src/runtimes/docker/build.sh && systemctl --user restart claudeclaw (Linux)

© sbusso, MIT. 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 skills/add-telegram-swarm of sbusso/claudeclaw.

Open the folder on GitHubat commit 1395af4

Compare with similar skills

Add Telegram Swarm 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.

Add Telegram Swarm compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Add Telegram Swarm this skillsbusso/claudeclaw194—~3.7kAutomated safety check: NotesMIT
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
O2 Review Loopopenobserve/openobserve22k—~3.7kAutomated safety check: PassAGPL-3.0
Harness Agent Team Designerrevfactory/harness9.1k—~4.5kAutomated safety check: PassApache-2.0
ClawTeam Multi-Agent Swarmwin4r/ClawTeam-OpenClaw1.5k1 repos~2.9kAutomated safety check: PassMIT
Sub-Agent Delegationcodewhale-hq/Codewhale41k—~790Automated safety check: PassMIT

Similar skills

  • Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.

    20k GitHub starsUsed in 1 repo~756 tokens
    Agent WorkflowsAuto-check passed
  • O2 Review Loop

    openobserve/openobserve

    Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.

    22k GitHub stars~3.7k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Harness Agent Team Designer

    revfactory/harness

    Designs a project-specific agent harness: defines specialist agents, writes the skills they follow, picks an execution mode and model for each, and keeps the setup maintained.

    9.1k GitHub stars~4.5k tokensUpdated 12 days ago
    Agent WorkflowsAuto-check passed
  • ClawTeam Multi-Agent Swarm

    win4r/ClawTeam-OpenClaw

    Launches a swarm of specialist Hermes agents in git-worktree-isolated tmux windows with a kanban board and file-based inboxes, using built-in templates like hedge-fund and code-review.

    1.5k GitHub starsUsed in 1 repo~2.9k tokens
    Agent WorkflowsAuto-check passed
  • Sub-Agent Delegation

    codewhale-hq/Codewhale

    Guides when and how to split multi-step coding, research or verification work into focused sub-agent runs while the parent keeps integration and final checks.

    41k GitHub stars~790 tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Team Tasks

    win4r/team-tasks

    Coordinate multi-agent development pipelines using shared JSON task files.

    446 GitHub stars~2.9k tokensUpdated 8 mo ago
    Agent WorkflowsAuto-check passed

More from sbusso/claudeclaw

All 23 skills in this repo
  • Debug

    sbusso/claudeclaw

    Debug container agent issues. An agent skill from sbusso/claudeclaw.

    194 GitHub starsUsed in 1 repo~3.3k tokens
    Auto-check: notes
  • X Integration

    sbusso/claudeclaw

    X (Twitter) integration for ClaudeClaw. An agent skill from sbusso/claudeclaw.

    194 GitHub stars~3k tokensUpdated 1 mo ago
    Auto-check: notes
  • Add Gmail

    sbusso/claudeclaw

    Add Gmail integration to ClaudeClaw. An agent skill from sbusso/claudeclaw.

    194 GitHub stars~1.9k tokensUpdated 1 mo ago
    Auto-check passed
  • Add Qmd

    sbusso/claudeclaw

    Add QMD (Query Markup Documents) as an advanced memory search backend.

    194 GitHub stars~629 tokensUpdated 1 mo ago
    Auto-check passed
  • Add Telegram

    sbusso/claudeclaw

    Add Telegram as a channel. An agent skill from sbusso/claudeclaw.

    194 GitHub stars~1.7k tokensUpdated 1 mo ago
    Auto-check: notes
  • Switch from Docker to Apple Container for macOS-native container isolation.

    194 GitHub stars~1.4k tokensUpdated 1 mo ago
    Auto-check: notes

Works with

Categories

Questions about Add Telegram Swarm

What does Add Telegram Swarm do?

Add Agent Swarm (Teams) support to Telegram. An agent skill from sbusso/claudeclaw. Add Telegram Swarm is an agent skill from sbusso/claudeclaw. Add Agent Swarm (Teams) support to Telegram.

When should I use Add Telegram Swarm?

Add Telegram Swarm fits situations like: agent teams telegram; tasks that involve Multi-agent orchestration; tasks that involve Subagents.

How do I install Add Telegram Swarm in Claude Code?

Run `npx skills add sbusso/claudeclaw --skill add-telegram-swarm -a claude-code`. Or copy the skill folder (skills/add-telegram-swarm in sbusso/claudeclaw) into .claude/skills/add-telegram-swarm in your project. Claude Code loads it when a task matches its description.

How do I install Add Telegram Swarm in Codex?

Run `npx skills add sbusso/claudeclaw --skill add-telegram-swarm -a codex`. Or copy the skill folder (skills/add-telegram-swarm in sbusso/claudeclaw) into .agents/skills/add-telegram-swarm in your project. Codex loads it when a task matches its description.

Can I use Add Telegram Swarm 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 sbusso/claudeclaw --skill add-telegram-swarm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/add-telegram-swarm, .gemini/skills/add-telegram-swarm, .github/skills/add-telegram-swarm and .opencode/skills/add-telegram-swarm in your project.

What does Add Telegram Swarm need to run?

Going by SKILL.md and its folder, Add Telegram Swarm needs the command-line tools its instructions call (npm and curl) and credentials named TELEGRAM_BOT_TOKEN. Our summary lists: Docker; A credential in TELEGRAM_BOT_TOKEN.

Does Add Telegram Swarm access the network?

SKILL.md names 1 domain. In commands or code: api.telegram.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Add Telegram Swarm safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Add Telegram Swarm use?

Add Telegram Swarm is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Add Telegram Swarm use?

About 3.7k tokens (SKILL.md is roughly 15k 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 Add Telegram Swarm?

Skills that share tags, products or a category with Add Telegram Swarm: Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars), Harness Agent Team Designer (revfactory/harness, 9.1k stars) and ClawTeam Multi-Agent Swarm (win4r/ClawTeam-OpenClaw, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Add Telegram Swarm?

sbusso (a GitHub user) maintains it in sbusso/claudeclaw, which has 194 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on August 12, 2026.

Source: sbusso/claudeclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.