list-dialogs

Use when user wants to list all Telegram chats, groups, and channels, see their contacts, find a chat ID, browse conversations, or check account info via whoami.

29 stars

Best use case

list-dialogs is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Use when user wants to list all Telegram chats, groups, and channels, see their contacts, find a chat ID, browse conversations, or check account info via whoami.

Teams using list-dialogs 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

$curl -o ~/.claude/skills/list-dialogs/SKILL.md --create-dirs "https://raw.githubusercontent.com/terrylica/cc-skills/main/plugins/tlg/skills/list-dialogs/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/list-dialogs/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How list-dialogs Compares

Feature / Agentlist-dialogsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Use when user wants to list all Telegram chats, groups, and channels, see their contacts, find a chat ID, browse conversations, or check account info via whoami.

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

# List Telegram Dialogs

List all chats, groups, and channels visible to your personal Telegram account.

> **Self-Evolving Skill**: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.

## Preflight

1. Session must exist: `~/.local/share/telethon/<profile>.session`
   - If missing, run `/tlg:setup` first

## Usage

```bash
/usr/bin/env bash << 'DIALOGS_EOF'
SCRIPT="${CLAUDE_PLUGIN_ROOT:-$HOME/.claude/plugins/marketplaces/cc-skills/plugins/tlg}/scripts/tg-cli.py"

# Default profile
uv run --python 3.13 "$SCRIPT" dialogs

# Specific profile
uv run --python 3.13 "$SCRIPT" -p missterryli dialogs

# Filter results
uv run --python 3.13 "$SCRIPT" dialogs | grep -i "search term"
DIALOGS_EOF
```

## Additional Commands

### Read Messages

`read` returns the **full text** of every message by default. Multi-line
bodies are indented under the header so the message stays visually
grouped. No truncation.

```bash
# Full text (default — recommended)
uv run --python 3.13 "$SCRIPT" read <chat_id> -n 10

# Short scan listing — truncate each body to N chars (\n flattened to "⏎")
uv run --python 3.13 "$SCRIPT" read <chat_id> -n 50 --preview 200
```

Use `--preview N` only when you're scanning many messages and want a
single-line summary per row. For routine reading, omit it — long messages
deserve to be read in full, not silently cut at 200 chars (the prior default,
which forced repeated direct-Telethon escape hatches when content mattered).

### Account Info

```bash
uv run --python 3.13 "$SCRIPT" whoami
```

## Output Format

```
Chat Name                                  (id: 1234567890)
```

Use the `id` value with `send-message` skill to send to that chat.

## Post-Execution Reflection

After this skill completes, check before closing:

1. **Did the command succeed?** — If not, fix the instruction or error table that caused the failure.
2. **Did parameters or output change?** — If tg-cli.py's interface drifted, update Usage examples and Parameters table to match.
3. **Was a workaround needed?** — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.

Only update if the issue is real and reproducible — not speculative.

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