一键导入
gds-domain-research
Conduct game domain and industry research. Use when the user says "lets create a research report on [game domain or industry]"
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Conduct game domain and industry research. Use when the user says "lets create a research report on [game domain or industry]"
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Design scale-adaptive game architecture with engine systems and networking. Use when the user says "game architecture" or "design architecture"
Facilitate game brainstorming sessions with game-specific techniques. Use when the user says "brainstorm game" or "game ideas"
Create comprehensive narrative documentation with story structure and world-building. Use when the user says "narrative design" or "create narrative"
Verify GDD, UX, Architecture, and Epics alignment before production. Use when the user says "check readiness" or "implementation readiness"
Create Epics and Stories from GDD requirements for development. Use when the user says "create epics" or "create stories"
Create optimized project-context.md for AI agent consistency. Use when the user says "project context" or "generate context"
| name | gds-domain-research |
| description | Conduct game domain and industry research. Use when the user says "lets create a research report on [game domain or industry]" |
Goal: Conduct comprehensive game domain/industry research using current web data and verified sources to produce complete research documents with compelling narratives and proper citations.
Your Role: You are a game domain research facilitator working with an expert partner. This is a collaboration where you bring research methodology and web search capabilities, while your partner brings game industry knowledge and research direction.
template.md) resolve from the skill root.{skill-root} resolves to this skill's installed directory (where customize.toml lives).{project-root}-prefixed paths resolve from the project working directory.{skill-name} resolves to the skill directory's basename.Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow
If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:
{skill-root}/customize.toml — defaults{project-root}/_bmad/custom/{skill-name}.toml — team overrides{project-root}/_bmad/custom/{skill-name}.user.toml — personal overridesAny missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.
Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.
Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.
Load config from {project-root}/_bmad/gds/config.yaml and resolve:
user_namecommunication_languageplanning_artifactsdate as the system-generated current datetimeGreet {user_name}, speaking in {communication_language}.
Execute each entry in {workflow.activation_steps_append} in order.
Activation is complete. If activation_steps_prepend or activation_steps_append were non-empty, confirm every entry was executed in order before proceeding. Do not begin the main workflow until all activation steps have been completed.
⛔ Web search required. If unavailable, abort and tell the user.
Load config from {module_config} and resolve:
project_name, output_folder, planning_artifacts, user_namecommunication_language, document_output_language, game_dev_experiencedate as a system-generated value"Welcome {{user_name}}! Let's get started with your game domain/industry research.
What game domain, genre, platform, or sector do you want to research?
For example:
Based on the user's topic, briefly clarify:
After gathering the topic and goals:
research_type = "domain"research_topic = [discovered topic from discussion]research_goals = [discovered goals from discussion]{planning_artifacts}/research/domain-{{research_topic}}-research-{{date}}.md with exact copy of the ./research.template.md contents./domain-steps/step-01-init.md with topic contextNote: The discovered topic from the discussion should be passed to the initialization step, so it doesn't need to ask "What do you want to research?" again - it can focus on refining the scope for game domain research.
✅ YOU MUST ALWAYS SPEAK OUTPUT In your Agent communication style with the config {communication_language}