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google-workspace-ops

將 Google Drive、Docs、Sheets 和 Slides 的操作整合為單一工作流程,用於管理計畫、追蹤表、簡報和共用文件。當使用者需要查找、摘要、編輯、遷移或清理 Google Workspace 資產,而無需直接使用原始工具呼叫時使用。

google-workspace-ops 是什麼?

此技能旨在將 Google Workspace 資產(如文件、試算表和簡報)視為一個可運作的系統來操作,而非僅獨立編輯單一檔案。它適用於需要查找文件並原地更新、合併計畫與追蹤表、清理或重構共用試算表、匯入或修復簡報,以及為決策產出摘要等場景。此技能以 Google Drive 作為入口,然後根據任務類型切換至適當的專業工具:文字密集的文件使用 Google Docs,表格、公式與圖表使用 Google Sheets,簡報的匯入、範本遷移與清理則使用 Google Slides。工作流程強調先搜尋定位資產(處理重複與版本問題)、檢查結構後再精準編輯,最後保持系統的整潔(識別過時或重複的資產)。支援 Agent 平台(如 Claude Code 或 Cursor),並遵循「先檢查再編輯」的原則,使用最小的工具安全地執行任務。

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

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

Google Workspace 操作技能

此技能旨在將共用文件、試算表和簡報作為可運作的系統來操作,而非僅獨立編輯單一檔案。

使用時機

  • 使用者需要尋找文件、試算表或簡報,並直接原地更新
  • 整合儲存在 Google Drive 中的計畫、追蹤表、筆記或客戶清單
  • 清理或重構共用的試算表
  • 匯入、修復或重新格式化 Google Slides 簡報
  • 從 Docs、Sheets 或 Slides 產出摘要,以利決策

首選工具層面

使用 Google Drive 作為進入點,然後切換至適當的專業工具:

  • Google Docs 用於文字密集的文件
  • Google Sheets 用於表格工作、公式和圖表
  • Google Slides 用於簡報、匯入、範本遷移和清理

請勿僅根據檔案名稱猜測結構。應先檢查。

工作流程

1. 尋找資產

從 Drive 搜尋層面開始定位:

  • 確切的檔案
  • 同層級的相關資產
  • 可能的重複檔案
  • 最近修改的版本

如果多份文件看起來相似,請透過標題、擁有者、修改時間或資料夾來確認。

2. 編輯前先檢查

在進行更改之前:

  • 摘要目前結構
  • 識別分頁、標題或投影片數量
  • 判斷任務是局部清理還是結構性修改

選擇能夠安全執行工作且影響範圍最小的工具。

3. 精準編輯

  • 對於 Docs:使用具索引感知的編輯,而非模糊的重寫
  • 對於 Sheets:在明確的分頁和範圍內操作
  • 對於 Slides:區分內容編輯與視覺清理或範本遷移

如果請求的工作涉及視覺或版面配置,則應透過檢查與驗證反覆進行,而非一次進行巨大的盲目更新。

4. 保持工作系統整潔

當檔案屬於較大的工作流程的一部分時,也應提出:

  • 重複的追蹤表
  • 過時的簡報
  • 陳舊文件與正式文件的區別
  • 資產是否應被歸檔、合併或重新命名

輸出格式

使用:

資產
- 檔案名稱
- 類型
- 為何這是正確的檔案

目前狀態
- 結構摘要
- 主要問題或阻礙

操作
- 已執行或建議的編輯

後續行動
- 歸檔 / 合併 / 重複清理 / 下一個要更新的檔案

良好使用案例

  • 「找到目前的規劃文件並將其精簡」
  • 「清理此客戶試算表,並顯示流失風險高的資料列」
  • 「將此簡報匯入 Slides 並使其適合簡報」
  • 「找到目前的追蹤表,而非過時的重複版本」

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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