AI-FanGeAI-FanGeCommunity·1 Agent Skills Included

Openclaw_Gaming_SF6

Real-time Street Fighter coaching and adaptive fight strategy

Analyzes recent opponent moves, gamepad inputs, and YOLO screen detection in Street Fighter matches. Generates coaching-style strategy summaries and JSON parameter blocks that hot-update a running fight engine. Eliminates manual tuning of aggression, defense, and reaction settings during live gameplay.
npx skills add AI-FanGe/Openclaw_Gaming_SF6 --all -g -y

All Skills in This Repository (1)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install Openclaw_Gaming_SF6?

Run `npx skills add AI-FanGe/Openclaw_Gaming_SF6 --all -g -y` in your terminal to install the play-game skill globally.

What does the play-game skill do?

It acts as a boxing coach for a Street Fighter fight engine, reviewing the last 10 seconds of opponent behavior and outputting a strategy summary plus a JSON block that adjusts aggression, defense, and reaction parameters.

How does the skill adjust fighting strategy?

It reads a fixed window of gamepad inputs and YOLO screen states, then outputs tuning values like anti-air bias and whiff punishment that the fight engine hot-reloads from a local JSON file.

What inputs does the skill need to work?

It needs a JSON window following the opponent-window schema, covering recent player moves, YOLO detection summaries, and the current engine style and parameters.

Do I need coding skills to use this?

Basic setup requires a local Python environment and OpenClaw, but once running, the skill automatically produces strategy updates without manual intervention.

Related Repositories in Software Engineering

View All in Software Engineering