2889b34958
Create 6 structured research prompt templates with YAML frontmatter,
cascade_tier hints, and {slot} placeholders:
- tool_evaluation.md — discover and compare tools in a domain
- architecture_spike.md — investigate system integration approaches
- game_analysis.md — evaluate games for AI agent playability
- integration_guide.md — step-by-step tool integration with code
- state_of_art.md — landscape survey of a field at a point in time
- competitive_scan.md — compare a project against alternatives
Each template has valid YAML frontmatter (name, type, query count,
output length, cascade_tier) and produces well-structured prompts
when slots are filled.
Fixes #974
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2.1 KiB
2.1 KiB
name, type, typical_query_count, expected_output_length, cascade_tier, description
| name | type | typical_query_count | expected_output_length | cascade_tier | description |
|---|---|---|---|---|---|
| Game Analysis | research | 2-3 | 600-1000 words | local_ok | Evaluate a game for AI agent playability. Assesses API availability, observation/action spaces, and existing bot ecosystems. |
Game Analysis: {game}
Context
Evaluate {game} to determine whether an AI agent can play it effectively. Focus on programmatic access, observation space, action space, and existing bot/AI ecosystems.
Constraints
- Platform: {platform} (PC, console, mobile, browser).
- Agent type: {agent_type} (reinforcement learning, rule-based, LLM-driven, hybrid).
- Budget for API/licenses: {budget}.
Research Steps
- Identify official APIs, modding support, or programmatic access methods for {game}.
- Characterize the observation space (screen pixels, game state JSON, memory reading, etc.).
- Characterize the action space (keyboard/mouse, API calls, controller inputs).
- Survey existing bots, AI projects, or research papers for {game}.
- Assess feasibility and difficulty for the target agent type.
Output Format
Game Profile
| Property | Value |
|---|---|
| Game | {game} |
| Genre | {genre} |
| Platform | {platform} |
| API Available | Yes / No / Partial |
| Mod Support | Yes / No / Limited |
| Existing AI Work | Extensive / Some / None |
Observation Space
Describe what data the agent can access and how (API, screen capture, memory hooks, etc.).
Action Space
Describe how the agent can interact with the game (input methods, timing constraints, etc.).
Existing Ecosystem
List known bots, frameworks, research papers, or communities working on AI for {game}.
Feasibility Assessment
- Difficulty: Easy / Medium / Hard / Impractical
- Best approach: {recommended_agent_type}
- Key challenges: Bullet list
- Estimated time to MVP: {time_estimate}
Recommendation
One paragraph: should we proceed, and if so, what is the first step?