forked from Rockachopa/Timmy-time-dashboard
Co-authored-by: Alexander Whitestone <alexpaynex@gmail.com> Co-committed-by: Alexander Whitestone <alexpaynex@gmail.com>
69 lines
2.1 KiB
Markdown
69 lines
2.1 KiB
Markdown
---
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name: Game Analysis
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type: research
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typical_query_count: 2-3
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expected_output_length: 600-1000 words
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cascade_tier: local_ok
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description: >
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Evaluate a game for AI agent playability. Assesses API availability,
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observation/action spaces, and existing bot ecosystems.
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---
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# Game Analysis: {game}
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## Context
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Evaluate **{game}** to determine whether an AI agent can play it effectively.
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Focus on programmatic access, observation space, action space, and existing
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bot/AI ecosystems.
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## Constraints
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- Platform: {platform} (PC, console, mobile, browser).
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- Agent type: {agent_type} (reinforcement learning, rule-based, LLM-driven, hybrid).
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- Budget for API/licenses: {budget}.
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## Research Steps
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1. Identify official APIs, modding support, or programmatic access methods for {game}.
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2. Characterize the observation space (screen pixels, game state JSON, memory reading, etc.).
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3. Characterize the action space (keyboard/mouse, API calls, controller inputs).
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4. Survey existing bots, AI projects, or research papers for {game}.
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5. Assess feasibility and difficulty for the target agent type.
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## Output Format
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### Game Profile
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| Property | Value |
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|-------------------|------------------------|
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| Game | {game} |
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| Genre | {genre} |
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| Platform | {platform} |
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| API Available | Yes / No / Partial |
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| Mod Support | Yes / No / Limited |
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| Existing AI Work | Extensive / Some / None|
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### Observation Space
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Describe what data the agent can access and how (API, screen capture, memory hooks, etc.).
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### Action Space
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Describe how the agent can interact with the game (input methods, timing constraints, etc.).
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### Existing Ecosystem
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List known bots, frameworks, research papers, or communities working on AI for {game}.
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### Feasibility Assessment
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- **Difficulty:** Easy / Medium / Hard / Impractical
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- **Best approach:** {recommended_agent_type}
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- **Key challenges:** Bullet list
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- **Estimated time to MVP:** {time_estimate}
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### Recommendation
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One paragraph: should we proceed, and if so, what is the first step?
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