CS2 Demo Analyzer Skill

This skill analyzes Counter-Strike 2 demo files (.dem) and produces professional tactical analysis reports with strategic insights, player statistics, and coaching recommendations.

What This Skill Does

1. Accepts a CS2 demo file (drag & drop or provide path)
2. Generates multi-format analysis:
   • Compact storage format for archival
   • Digest summary for quick review
   • Full markdown tactical report
3. Returns strategic insights including:
   • Team performance (T-side vs CT-side)
   • Player statistics and rankings
   • Critical round breakdowns
   • Tactical recommendations
   • Entry success, post-plant win rates, tempo analysis

For End Users

Simple Usage

Just say:

• "Analyze this demo" (after dragging .dem file)
• "Analyze data/raw/my-game.dem"
• "Give me a tactical report for the latest demo"

What You'll Get

A comprehensive report covering:

• Executive Summary - Top 3-5 strategic insights
• Team Analysis - T-side and CT-side performance
• Critical Rounds - Key moments that decided the game
• Player Highlights - Top performers and improvement areas
• Tactical Recommendations - Actionable coaching points

Requirements (One-Time Setup)

This skill requires:

• ✅ Python 3.11+ with Poetry installed
• ✅ Project dependencies installed (

  poetry install

  )
• ✅ Directory structure:

  data/raw/

  ,

  data/compact/

  ,

  data/digest/

  ,

  reports/

Setup Instructions: See

docs/setup.md

for first-time installation.

How It Works

The skill uses a three-tier architecture:

1. Parse Demo → Extract game data using awpy library
2. Generate Formats:
   • Compact state (storage, ~400KB)
   • Digest (Claude-readable, <50KB)
   • Full report (markdown)
3. Strategic Analysis → Metrics calculation and tactical insights

Example Output

# CS2 Tactical Analysis: Dust2

**Final Score**: T 15 - 13 CT

## Executive Summary
- T-side dominated with 54% round win rate
- Exceptional 82% post-plant win rate
- Aggressive 17.5s time-to-first-kill
- m0NESY MVP: 1.46 K/D, 19 kills

## Recommendations
- T-Side: Maintain excellent post-plant discipline
- CT-Side: Improve retake coordination (only 18% success)
- Individual: mezii needs positioning work (0.6 K/D)

Technical Details

Scripts Used:

• generate_tactical_report.py

  - Main analysis pipeline

• generate_digest.py

  - Digest generation

• analyze_compact_demo.py

  - Metrics calculation

Output Locations:

• Reports:

  reports/game_analysis_[map]_[timestamp].md

• Digests:

  data/digest/[demo]_[timestamp].digest.txt

• Compact:

  data/compact/[demo]_[timestamp].compact.txt

Performance: 30-60 seconds for full match analysis (30-50 rounds)

Skill Workflow

When invoked, this skill will:

1. ✅ Validate demo file path exists
2. ✅ Check dependencies (poetry environment)
3. ✅ Run analysis pipeline
4. ✅ Read generated digest for strategic insights
5. ✅ Read full report for comprehensive details
6. ✅ Summarize findings for user
7. ✅ Provide report file path for download

Error Handling

The skill handles:

• Missing demo files → Clear error message
• Invalid demo format → awpy parsing error explanation
• Missing dependencies → Setup instructions
• Analysis failures → Detailed error logs

Future Enhancements

Planned features:

• Multi-demo comparison (track player improvement over time)
• Interactive queries ("Show me all A-site executes")
• Heatmap generation (positional analysis)
• Utility usage analysis (smoke/flash patterns)
• Economic analysis (force buy success rates)