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RuifengFu
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AgenTank Replay Analyst

Analyze tank battle replay JSON files to detect failure patterns and aggregate statistics.

Updated May 27, 2026
Search Tags:#machine learning#performance optimization#data analysis#replay analysis#tank strategy
One-click install
npx skills add https://github.com/RuifengFu/agent-skills --skill agentank-replay-analyst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: AgenTank Replay Analyst
Source: https://github.com/RuifengFu/agent-skills/tree/main/opencode/agentank-analyst
Command: npx skills add https://github.com/RuifengFu/agent-skills --skill agentank-replay-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, json, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps identify performance issues and aggregate statistics from tank battle replays, enabling better iteration and decision-making for tank strategy.

Core Features & Use Cases

  • Replay Analysis: Detect failure patterns, such as stuck positions, missed shots, and unnecessary skill usage.
  • Stat Aggregation: Compile win/loss rates and common failure patterns for performance evaluation.
  • Use Case: After running a batch of ranked matches, use this Skill to analyze the replays and identify areas for improvement in tank tactics.

Quick Start

Run the replay analysis for the latest matches and review the detailed report.

Frequently Asked Questions about AgenTank Replay Analyst

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

FAQPage Schema
How do I analyze tank battle replays for performance insights?▼

To analyze tank battle replays, this Skill processes replay JSON files with Python scripts to detect failure patterns like stuck positions and missed shots, and aggregates match statistics for strategy optimization.

What common failure patterns can replay analysis detect in tank strategy games?▼

Replay analysis detects common tank strategy failure patterns such as stuck positions, missed shots, and unnecessary skill usage, helping you identify specific areas for tactical iteration and performance improvement.

Do I need a specific Python environment to parse replay JSON files?▼

Yes, you need a Python environment with the pandas, numpy, and json libraries installed to successfully parse replay JSON files and execute the data analysis scripts.

How do I aggregate win and loss statistics from ranked match replays?▼

You can aggregate win and loss statistics from ranked match replays by running the provided Python scripts, which automatically compile match outcomes and common failure patterns into a detailed performance evaluation report.

Can I use numpy and pandas for competitive tank battle data analysis?▼

Yes, the Skill leverages numpy and pandas within Python scripts to process competitive tank battle data analysis, calculating aggregated statistics and detecting performance issues from replay files.

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