Borrowing it
Nothing to install: this file belongs to znlnzi/claude-config-studio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/znlnzi/claude-config-studio/main/.claude/skills/team/SKILL.mdgit clone --depth 1 https://github.com/znlnzi/claude-config-studioWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/znlnzi/claude-config-studio/team)<a href="https://agentmods.dev/skills/znlnzi/claude-config-studio/team"><img src="https://agentmods.dev/badge/skills/znlnzi/claude-config-studio/team/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/znlnzi/claude-config-studio/team"><img src="https://agentmods.dev/badge/skills/znlnzi/claude-config-studio/team.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.00569 |
| Opus 5 | $0.00017 | $0.00284 |
| Sonnet 5 | $0.00007 | $0.00114 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
team scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
组建临时团队
根据任务，从公司现有 AI Agent 中挑选最合适的成员，组建临时团队协作完成。
可用 Agent
| Agent | 文件 | 职能 |
|---|---|---|
| CEO | ceo-bezos | 战略决策、商业模式、PR/FAQ、优先级 |
| CTO | cto-vogels | 技术架构、技术选型、系统设计 |
| 产品设计 | product-norman | 产品定义、用户体验、可用性 |
| UI 设计 | ui-duarte | 视觉设计、设计系统、配色排版 |
| 交互设计 | interaction-cooper | 用户流程、Persona、交互模式 |
| 全栈开发 | fullstack-dhh | 代码实现、技术方案、开发 |
| QA | qa-bach | 测试策略、质量把控、Bug 分析 |
| 营销 | marketing-godin | 定位、品牌、获客、内容 |
| 运营 | operations-pg | 用户运营、增长、社区、PMF |
| 销售 | sales-ross | 定价、销售漏斗、转化 |
执行步骤
1. 分析任务，选择成员
根据任务性质，选择 2-5 个最相关的 Agent。选人原则：
- 只选必要的：精准匹配任务需求
- 考虑协作链：确保链路上的关键角色都在
- 避免冗余：职能重叠的不要同时选
2. 组建 Agent Team
使用 Agent Teams 功能组建临时团队：
- 创建团队，team_name 基于任务简短命名
- 为每个成员创建具体任务
- 用 Task 工具 spawn 每个 teammate
3. 协调与汇总
- 作为 team lead 协调各成员工作
- 收集各成员产出，汇总为统一方案
- 如有分歧，列出各方观点供创始人决策
- 完成后清理团队资源
注意事项
- 所有沟通使用中文，技术术语保留英文
- 每个成员产出的文档存放在 docs// 下
- 团队是临时的，任务完成后即解散
- 创始人是最终决策者
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 51 lines · 35 tokens per session scan A 07a4e67a092a
team is a skill published in the GitHub repository znlnzi/claude-config-studio (0 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 569 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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