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Google Workspace 运维技能

将 Google 云端硬盘、文档、表格和幻灯片作为一个工作流界面进行操作,用于计划、追踪器、演示文稿和共享文档。当用户需要查找、总结、编辑、迁移或清理 Google Workspace 资产而无需调用底层工具时使用。

Google Workspace 运维技能 是什么?

该技能使 AI 代理能够将 Google Workspace(云端硬盘、文档、表格、幻灯片)作为一个统一的工作流表面进行操作,而不是独立编辑单个文件。它指导代理首先通过 Google 云端硬盘搜索查找资产,在编辑前检查文档结构(如标签、标题、幻灯片数量),然后使用精确、索引感知的编辑进行修改。支持的任务包括查找和更新计划/追踪器、清理共享电子表格、导入/重新格式化演示文稿,以及生成文档决策摘要。输出格式要求:资产标识、当前状态摘要、采取的行动以及后续步骤(如归档、合并或重命名)。该技能对所有基于 Google Workspace 的开发工具(如 Claude Code、Cursor、Codex)均适用,能有效处理来自用户关于文档、表格和幻灯片的请求。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/google-workspace-ops

在你喜欢的 AI 中提问

打开一个已预加载此 Agent Skill 的新对话。

文档

Google Workspace 运维技能 是做什么的?

本技能用于将共享文档、电子表格和演示文稿作为工作系统来操作,而不仅仅是孤立地编辑单个文件。

何时使用

  • 用户需要查找文档、表格或演示文稿并就地更新
  • 合并存储在 Google 云端硬盘中的计划、追踪器、笔记或客户列表
  • 清理或重组共享电子表格
  • 导入、修复或重新格式化 Google 幻灯片演示文稿
  • 从文档、表格或幻灯片中生成摘要以辅助决策

首选工具表面

以 Google 云端硬盘作为入口,然后切换到合适的专业工具:

  • Google 文档用于处理文本密集型文档
  • Google 表格用于处理表格、公式和图表
  • Google 幻灯片用于处理演示文稿、导入、模板迁移和清理

不要仅凭文件名猜测结构。先检查。

工作流程

1. 查找资产

从云端硬盘搜索界面开始,定位:

  • 确切的文件
  • 相关资产
  • 可能存在的重复项
  • 最近修改的版本

如果多个文档看起来相似,请根据标题、所有者、修改时间或文件夹进行确认。

2. 编辑前检查

在进行更改之前:

  • 总结当前结构
  • 识别标签、标题或幻灯片数量
  • 判断任务是局部清理还是结构性改造

选择能安全完成工作的最小工具。

3. 精确编辑

  • 对于文档:使用基于索引的编辑,而不是模糊的重写
  • 对于表格:在明确的标签和范围内操作
  • 对于幻灯片:区分内容编辑与视觉清理或模板迁移

如果请求的工作涉及视觉或布局调整,请通过检查和验证进行迭代,而不是一次性盲目更新。

4. 保持工作系统整洁

当文件属于更大工作流程的一部分时,还需指出:

  • 重复的追踪器
  • 过时的演示文稿
  • 过时文档与标准文档的区别
  • 资产是否应归档、合并或重命名

输出格式

使用:

资产
- 文件名
- 类型
- 为什么这是正确的文件

当前状态
- 结构摘要
- 关键问题或障碍

操作
- 已执行或建议的编辑

后续跟进
- 归档 / 合并 / 重复清理 / 下一个要更新的文件

好的用例

  • “查找当前活跃的规划文档并精简它”
  • “清理这个客户电子表格,并显示流失风险的行”
  • “把这个演示文稿导入幻灯片,并让它看起来专业”
  • “找到当前的追踪器,而不是过时的副本”

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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