rl-training
Reinforcement learning training for CTF-AI. Use when training DQN agents, adjusting hyperparameters, debugging training issues, analyzing rewards, or improving AI performance.
浏览 sdd330 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
5收录技能的仓库 Stars 合计
0仓库 Forks
5平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
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.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。