rl-training
Reinforcement learning training for CTF-AI. Use when training DQN agents, adjusting hyperparameters, debugging training issues, analyzing rewards, or improving AI performance.
Explorez les skills IA publiés de sdd330 et consultez leurs instructions source.
Skills indexés
5Étoiles des dépôts des skills indexés
0Forks du dépôt
5Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
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.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.