Slack Poster Skill

This skill posts business news and reports to Slack channels with intelligent topic analysis and threaded organization for better readability.

Purpose

• •Post business news digests with automatic topic grouping
• •Provide big-picture insights by correlating related stories
• •Use threaded messages to organize content by topic
• •Send alerts, notifications, or reports to internal Slack channels programmatically

Key Features

1. Topic Analysis & Grouping

• •Automatically analyzes headlines to identify major themes
• •Groups related stories together (e.g., "AI & Technology", "Markets & Economy")
• •Correlates between stories to show the big picture
• •Counts stories per topic for quick overview

2. Threaded Message Format

• •Main message: Summary showing topic breakdown and key insights
• •Thread replies: Detailed stories organized by topic
• •Each topic thread includes all relevant stories with source attribution

3. Topic Categories

The skill automatically classifies stories into:

• •🤖 AI & Technology
• •📈 Markets & Economy
• •👔 Corporate Leadership & Governance
• •🛒 Retail & Consumer
• •💼 Business & Finance
• •🏥 Healthcare & Biotech
• •💼 Workplace & Careers
• •📰 Other News

Implementation

Basic Usage (post_to_slack.py)

Simple format posting top headlines with blocks formatting.

Advanced Usage (post_to_slack_threaded.py)

Intelligent topic analysis with threaded organization:

• •Analyzes all headlines for common themes
• •Groups stories by topic
• •Creates main summary message with big-picture insights
• •Posts detailed stories in topic-specific threads

Authentication

Slack credentials:

• •Token: Use environment variable SLACK_TOKEN
• •Channel: stock_ops_dev (or use environment variable SLACK_CHANNEL)

Example Output

Main Message:

📰 Business News Digest - November 19, 2025

40 stories analyzed across 7 major topics

🔍 Today's Big Picture:
• AI & Technology: 19 stories
• Markets & Economy: 4 stories
• Corporate Leadership & Governance: 2 stories

🤖 AI dominates headlines with 19 stories covering Nvidia earnings,
   OpenAI board changes, and the AI bubble debate

Thread Replies: Each topic gets its own detailed thread with all related stories.

Output Structure

All outputs are organized in the outputs/ directory:

• •Reports should go into outputs/<agent_name>/<customer_name>/reports/
• •Scripts should go into outputs/<agent_name>/<customer_name>/scripts/
• •Raw outputs (csvs, jsons) should go into outputs/<agent_name>/<customer_name>/raw/
• •Screenshots should go into outputs/<agent_name>/<customer_name>/screenshots/