rl-training
Reinforcement learning training for CTF-AI. Use when training DQN agents, adjusting hyperparameters, debugging training issues, analyzing rewards, or improving AI performance.
Browse published AI skills maintained by sdd330. Compare skill descriptions and follow each source repository for setup instructions.
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Reinforcement learning training for CTF-AI. Use when training DQN agents, adjusting hyperparameters, debugging training issues, analyzing rewards, or improving AI performance.
TypeScript/Vue frontend development for CTF-AI. Use when working on game UI, Phaser scenes, Vue components, WebSocket client, or any frontend code.
OpenSpec spec-driven development workflow. Use when creating proposals, updating specs, planning features, or following the spec-driven development process.
Game testing for CTF-AI. Use when writing tests, running pytest, Vitest, Playwright e2e tests, testing game mechanics, or validating player behavior.
Python backend development for CTF-AI. Use when working on game engine, player logic, pathfinding, WebSocket server, or any backend Python code.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.