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team-level团队层面

Agent Skill

team-level 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

964

周安装

41

GitHub Stars

16,634

下载量

338
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:team-level(团队层面)
来源仓库:https://github.com/donchitos/claude-code-game-studios
仓库路径:skills/team-level
安装命令:
npx skills add https://github.com/donchitos/claude-code-game-studios --skill team-level
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/donchitos/claude-code-game-studios --skill team-level

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。

  • 可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 适用于团队层级分析、组织结构研究或权限分级等场景。
  • 支持多宿主环境,便于在不同 AI 工具间迁移使用。

SKILL.md

When this skill is invoked:

Decision Points: At each step transition, use AskUserQuestion to present the user with the subagent's proposals as selectable options. Write the agent's full analysis in conversation, then capture the decision with concise labels. The user must approve before moving to the next step.

  1. Read the argument for the target level or area (e.g., tutorial, forest dungeon, hub town, final boss arena).
  2. Gather context:

- Read the game concept at design/gdd/game-concept.md - Read game pillars at design/gdd/game-pillars.md - Read existing level docs in design/levels/ - Read relevant narrative docs in design/narrative/ - Read world-building docs for the area's region/faction

How to Delegate

Use the Task tool to spawn each team member as a subagent:

  • subagent_type: narrative-director — Narrative purpose, characters, emotional arc
  • subagent_type: world-builder — Lore context, environmental storytelling, world rules
  • subagent_type: level-designer — Spatial layout, pacing, encounters, navigation
  • subagent_type: systems-designer — Enemy compositions, loot tables, difficulty balance
  • subagent_type: art-director — Visual theme, color palette, lighting, asset requirements
  • subagent_type: accessibility-specialist — Navigation clarity, colorblind safety, cognitive load
  • subagent_type: qa-tester — Test cases, boundary testing, playtest checklist

Always provide full context in each agent's prompt (game concept, pillars, existing level docs, narrative docs).

  1. Orchestrate the level design team in sequence:

Step 1: Narrative + Visual Direction (narrative-director + world-builder + art-director, parallel)

Spawn all three agents simultaneously — issue all three Task calls before waiting for any result.

Spawn the narrative-director agent to:

  • Define the narrative purpose of this area (what story beats happen here?)
  • Identify key characters, dialogue triggers, and lore elements
  • Specify emotional arc (how should the player feel entering, during, leaving?)

Spawn the world-builder agent to:

  • Provide lore context for the area (history, faction presence, ecology)
  • Define environmental storytelling opportunities
  • Specify any world rules that affect gameplay in this area

Spawn the art-director agent to:

  • Establish visual theme targets for this area — these are INPUTS to layout, not outputs of it
  • Define the color temperature and lighting mood for this area (how does it differ from adjacent areas?)
  • Specify shape language direction (angular fortress? organic cave? decayed grandeur?)
  • Name the primary visual landmarks that will orient the player
  • Read design/art/art-bible.md if it exists — anchor all direction in the established art bible

The art-director's visual targets from Step 1 must be passed to the level-designer in Step 2 as explicit constraints. Layout decisions happen within the visual direction, not before it.

Gate: Use AskUserQuestion to present all three Step 1 outputs (narrative brief, lore foundation, visual direction targets) and confirm before proceeding to Step 2.

Step 2: Layout and Encounter Design (level-designer)

Spawn the level-designer agent with the full Step 1 output as context:

  • Narrative brief (from narrative-director)
  • Lore foundation (from world-builder)
  • Visual direction targets (from art-director) — layout must work within these targets, not contradict them

The level-designer should:

  • Design the spatial layout (critical path, optional paths, secrets) — ensuring primary routes align with the visual landmark targets from Step 1
  • Define pacing curve (tension peaks, rest areas, exploration zones) — coordinated with the emotional arc from narrative-director
  • Place encounters with difficulty progression
  • Design environmental puzzles or navigation challenges
  • Define points of interest and landmarks for wayfinding — these must match the visual landmarks the art-director specified
  • Specify entry/exit points and connections to adjacent areas

Adjacent area dependency check: After the layout is produced, check design/levels/ for each adjacent area referenced by the level-designer. If any referenced area's .md file does not exist, surface the gap:

"Level references [area-name] as an adjacent area but design/levels/[area-name].md does not exist."

Use AskUserQuestion with options:

  • (a) Proceed with a placeholder reference — mark the connection as UNRESOLVED in the level doc and list it in the open cross-level dependencies section of the summary report
  • (b) Pause and run /team-level [area-name] first to establish that area

Do NOT invent content for the missing adjacent area.

Gate: Use AskUserQuestion to present Step 2 layout (including any unresolved adjacent area dependencies) and confirm before proceeding to Step 3.

Step 3: Systems Integration (systems-designer)

Spawn the systems-designer agent to:

  • Specify enemy compositions and encounter formulas
  • Define loot tables and reward placement
  • Balance difficulty relative to expected player level/gear
  • Design any area-specific mechanics or environmental hazards
  • Specify resource distribution (health pickups, save points, shops)

Gate: Use AskUserQuestion to present Step 3 outputs and confirm before proceeding to Step 4.

Step 4: Production Concepts + Accessibility (art-director + accessibility-specialist, parallel)

Note: The art-director's directional pass (visual theme, color targets, mood) happened in Step 1. This pass is location-specific production concepts — given the finalized layout, what does each specific space look like?

Spawn the art-director agent with the finalized layout from Step 2:

  • Produce location-specific concept specs for key spaces (entrance, key encounter zones, landmarks, exits)
  • Specify which art assets are unique to this area vs. shared from the global pool
  • Define sight-line and lighting setups per key space (these are now layout-informed, not directional)
  • Specify VFX needs that are specific to this area's layout (weather volumes, particles, atmospheric effects)
  • Flag any locations where the layout creates visual direction conflicts with the Step 1 targets — surface these as production risks

Spawn the accessibility-specialist agent in parallel to:

  • Review the level layout for navigation clarity (can players orient themselves without relying on color alone?)
  • Check that critical path signposting uses shape/icon/sound cues in addition to color
  • Review any puzzle mechanics for cognitive load — flag anything that requires holding more than 3 simultaneous states
  • Check that key gameplay areas have sufficient contrast for colorblind players
  • Output: accessibility concerns list with severity (BLOCKING / RECOMMENDED / NICE TO HAVE)

Wait for both agents to return before proceeding.

Gate: Use AskUserQuestion to present both Step 4 results. If the accessibility-specialist returned any BLOCKING concerns, highlight them prominently and offer:

  • (a) Return to level-designer and art-director to redesign the flagged elements before Step 5
  • (b) Document as a known accessibility gap and proceed to Step 5 with the concern explicitly logged in the final report

Do NOT proceed to Step 5 without the user acknowledging any BLOCKING accessibility concerns.

Step 5: QA Planning (qa-tester)

Spawn the qa-tester agent to:

  • Write test cases for the critical path
  • Identify boundary and edge cases (sequence breaks, softlocks)
  • Create a playtest checklist for the area
  • Define acceptance criteria for level completion
  1. Compile the level design document combining all team outputs into the level design template format.
  2. Save to design/levels/[level-name].md.
  3. Output a summary with: area overview, encounter count, estimated asset list, narrative beats, any cross-team dependencies or open questions, open cross-level dependencies (adjacent areas referenced but not yet designed, each marked UNRESOLVED), and accessibility concerns with their resolution status.

File Write Protocol

All file writes (level design docs, narrative docs, test checklists) are delegated to sub-agents spawned via Task. Each sub-agent enforces the "May I write to [path]?" protocol. This orchestrator does not write files directly.

Verdict: COMPLETE — level design document produced and all team outputs compiled. Verdict: BLOCKED — one or more agents blocked; partial report produced with unresolved items listed.

Next Steps

  • Run /design-review design/levels/[level-name].md to validate the completed level design doc.
  • Run /dev-story to implement level content once the design is approved.
  • Run /qa-plan to generate a QA test plan for this level.

Error Recovery Protocol

If any spawned agent (via Task) returns BLOCKED, errors, or cannot complete:

  1. Surface immediately: Report "[AgentName]: BLOCKED — [reason]" to the user before continuing to dependent phases
  2. Assess dependencies: Check whether the blocked agent's output is required by subsequent phases. If yes, do not proceed past that dependency point without user input.
  3. Offer options via AskUserQuestion with choices:

- Skip this agent and note the gap in the final report - Retry with narrower scope - Stop here and resolve the blocker first

  1. Always produce a partial report — output whatever was completed. Never discard work because one agent blocked.

Common blockers:

  • Input file missing (story not found, GDD absent) → redirect to the skill that creates it
  • ADR status is Proposed → do not implement; run /architecture-decision first
  • Scope too large → split into two stories via /create-stories
  • Conflicting instructions between ADR and story → surface the conflict, do not guess

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude

34.06%
按下载量换算115

Codex

33.76%
按下载量换算114

Cursor

17.92%
按下载量换算61

Gemini CLI

8.69%
按下载量换算29

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/donchitos/claude-code-game-studios --skill team-level 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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