Agent skill
mobile-games
Mobile game development principles. Touch input, battery, performance, app stores.
Install this agent skill to your Project
npx add-skill https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/creative-design/game-development/mobile-games
SKILL.md
Mobile Game Development
Platform constraints and optimization principles.
1. Platform Considerations
Key Constraints
| Constraint | Strategy |
|---|---|
| Touch input | Large hit areas, gestures |
| Battery | Limit CPU/GPU usage |
| Thermal | Throttle when hot |
| Screen size | Responsive UI |
| Interruptions | Pause on background |
2. Touch Input Principles
Touch vs Controller
| Touch | Desktop/Console |
|---|---|
| Imprecise | Precise |
| Occludes screen | No occlusion |
| Limited buttons | Many buttons |
| Gestures available | Buttons/sticks |
Best Practices
- Minimum touch target: 44x44 points
- Visual feedback on touch
- Avoid precise timing requirements
- Support both portrait and landscape
3. Performance Targets
Thermal Management
| Action | Trigger |
|---|---|
| Reduce quality | Device warm |
| Limit FPS | Device hot |
| Pause effects | Critical temp |
Battery Optimization
- 30 FPS often sufficient
- Sleep when paused
- Minimize GPS/network
- Dark mode saves OLED battery
4. App Store Requirements
iOS (App Store)
| Requirement | Note |
|---|---|
| Privacy labels | Required |
| Account deletion | If account creation exists |
| Screenshots | For all device sizes |
Android (Google Play)
| Requirement | Note |
|---|---|
| Target API | Current year's SDK |
| 64-bit | Required |
| App bundles | Recommended |
5. Monetization Models
| Model | Best For |
|---|---|
| Premium | Quality games, loyal audience |
| Free + IAP | Casual, progression-based |
| Ads | Hyper-casual, high volume |
| Subscription | Content updates, multiplayer |
6. Anti-Patterns
| ❌ Don't | ✅ Do |
|---|---|
| Desktop controls on mobile | Design for touch |
| Ignore battery drain | Monitor thermals |
| Force landscape | Support player preference |
| Always-on network | Cache and sync |
Remember: Mobile is the most constrained platform. Respect battery and attention.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
verl-rl-training
Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.
openrlhf-training
High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.
gguf-quantization
GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.
Claude Code Guide
Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the agent.
qdrant-vector-search
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
behavioral-modes
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
Didn't find tool you were looking for?