chat-archive

Name: chat-archive
Availability: InStock
Author: qwwiwi

Archive Telegram business chat messages into daily markdown logs with classification.

3|1|Updated May 21, 2026

Search Tags:#decision tracking #task extraction #telegram #daily summary #chat archiving #storage sync #partnership workflow

Ready to run

npx skills add https://github.com/qwwiwi/agentos-skills-public --skill chat-archive

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: chat-archive
Source: https://github.com/qwwiwi/agentos-skills-public/tree/main/skills/chat-archive
Command: npx skills add https://github.com/qwwiwi/agentos-skills-public --skill chat-archive

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns a busy business chat into a structured, searchable archive by logging messages daily, classifying them as decisions, tasks, or open questions, and producing a daily summary.

Core Features & Use Cases

Daily append-only chat logs: Stores each day’s conversation in a dedicated markdown file for a partnership.
Message classification: Detects and tags decisions and tasks, and flags unanswered questions for follow-up.
Daily summaries with push to storage: Generates a day summary (stats, topics, decisions, tasks, open questions) and records it in storage.
Monitor-agent driven responses: Replies only when the monitor agent is mentioned, using archived context and stored items.

Quick Start

Tell your AI to archive messages from the monitored Telegram business chat into partnerships/<partner-name>/chat-history and create a daily chat summary in partnerships/<partner-name>/chat-summary.

Frequently Asked Questions about chat-archive

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automatically archive Telegram business chat messages into daily markdown logs?▼

You can automatically archive Telegram chat messages by directing your AI to store daily conversations into partnership-specific markdown files, applying deterministic tagging rules to classify decisions, tasks, and open questions.

What is the best way to track decisions and tasks extracted from a partnership chat?▼

The best way to track extracted chat decisions and tasks is by using deterministic tagging rules to classify messages, archiving them into daily markdown logs, and optionally pushing tracked items to a storage CLI for later retrieval.

Can I generate a daily summary of chat decisions and tasks for a monitored partnership?▼

Generating a daily summary of chat decisions and tasks is supported by compiling conversation stats, topics, and classified items into a daily recap that is recorded in your partnership's chat-summary storage.

Does this chat archiving approach support silent logging without replying to every message?▼

This chat archiving approach supports silent logging by writing append-only daily markdown logs without replying, triggering monitor-agent driven responses only when mentioned to retrieve archived context and stored items.

How do I retrieve past decisions and tasks from chat history when mentioning a monitor agent?▼

To retrieve past decisions and tasks when mentioning the monitor agent, the Skill searches append-only daily markdown logs and stored items, pulling classified context to reply with the relevant archived decisions and tasks.

Are there limitations to using deterministic tagging rules for chat message classification?▼

Limitations of deterministic tagging rules for message classification include potential missed context for nuanced conversations, as the system relies on fixed rules to categorize decisions, tasks, and open questions from chat logs.