dump-channel

name	dump-channel
description	user wants to archive, dump, or back up an entire Telegram channel or chat history to NDJSON with all media files downloaded. Full history.
allowed-tools	Bash, Read, Grep, Glob

Dump Telegram Channel History

Archive a complete Telegram channel/group/chat to NDJSON + downloaded media files.

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/gramjs/<profile>.session
   • If missing, run /tlg:setup first
2. User must be subscribed to (or a member of) the target channel/chat

Usage

/usr/bin/env bash << 'EOF'
ROOT="$(cc-plugin-root tlg)"
SCRIPT="$ROOT/scripts/tg-cli.ts"

# Full dump: NDJSON + all media (photos, videos, documents)
bun "$SCRIPT" dump @ChannelName ./output/ChannelName

# NDJSON only (skip media downloads — much faster)
bun "$SCRIPT" dump @ChannelName ./output/ChannelName --no-media

# Dump by numeric chat ID
bun "$SCRIPT" dump -1001234567890 ./output/MyChannel

# Use a different profile
bun "$SCRIPT" -p missterryli dump @ChannelName ./output/ChannelName
EOF

Parameters

Parameter	Type	Description
chat	string/int	Channel username (@name) or numeric chat ID
output	path	Output directory (messages.ndjson + media/ created inside)
--no-media	flag	Skip media downloads, produce NDJSON only

Output Structure

output/ChannelName/
├── messages.ndjson   ← one JSON object per line, chronological (oldest first)
└── media/
    ├── 6.jpg         ← named by message ID for cross-referencing
    ├── 12.png
    ├── 45.mp4
    └── ...

NDJSON Record Schema

Each line is a JSON object with these fields:

Field	Type	Description
id	int	Telegram message ID
date	string	ISO 8601 timestamp with timezone
text	string/null	Full message text (no truncation)
has_media	bool	Whether message contains media
media_type	string/null	GramJS class name (MessageMediaPhoto, etc.)
media_file	string/null	Filename in media/ dir (e.g., "6.jpg")
views	int/null	View count (channels only)
forwards	int/null	Forward count
reply_to_msg_id	int/null	Parent message ID if reply
grouped_id	int/null	Album group ID (shared across album messages)
edit_date	string/null	ISO 8601 timestamp of last edit
sender.id	int	Sender's Telegram user/channel ID
sender.name	string	Display name (channel title or user first name)
sender.username	string/null	@username if set

Resume Support

Re-running the same command skips already-downloaded media files (checks dest.exists()). The NDJSON is fully rewritten each run. This makes it safe to resume interrupted downloads.

Querying the Output

# jq: find all GOLD BUY signals with chart screenshots
jq 'select(.text != null and (.text | test("GOLD.*BUY")) and .media_file != null)' messages.ndjson

# DuckDB: aggregate by date
duckdb -c "SELECT date::DATE as day, count(*) FROM read_ndjson('messages.ndjson') GROUP BY day ORDER BY day"

# Python/Polars
import polars as pl
df = pl.read_ndjson("messages.ndjson")

Performance Notes

• ~3000 messages + 1700 media files takes ~3-5 minutes
• Telegram may briefly disconnect mid-download (Server closed the connection) — GramJS auto-reconnects
• For very large channels (10k+ messages), expect 10-15 minutes with media

Recommended Storage Pattern

For git-tracked projects, gitignore the media folder:

# data/telegram/.gitignore
*/media/

This keeps the NDJSON (metadata) in version control while keeping large media files local-only.

Anti-Patterns

• Don't dump channels you're not subscribed to — GramJS needs access via your account
• Don't run multiple dumps concurrently on the same profile — session file contention

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.ts'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.