Start

anthropics/knowledge-work-plugins/productivity/skills/start

作者 anthropicsae1513ea94dcb74a7f1505ddcf3b0ec3fab327f1無授權條款27K 個星標收錄於 2026年10月9日更新於 2026年10月9日儲存庫今天更新

Initialize the productivity system and open the dashboard. Use when setting up the plugin for the first time, bootstrapping working memory from your existing task list, or decoding the shorthand (nicknames, acronyms, project codenames) you use in your todos.

精選僅含說明Productivity & Workflow
AI 產生的概覽

初始化個人工作力系統:任務清單、工作記憶檔案和儀表板。

功能
檢查工作目錄中是否有 TASKS.md、CLAUDE.md、memory 目錄和 dashboard.html,並依範本建立缺少的部分。接著提示使用者從檔案瀏覽器開啟儀表板;首次執行時,會引導使用者檢視現有任務清單,解讀其中的暱稱、縮寫和專案代號。根據這些資訊,它會寫出工作記憶檔案,以及術語表、人員、專案和公司背景檔案,並回報初始化結果。
適用情境
適用於首次設定工作力外掛、從現有任務清單建立工作記憶,或解讀待辦事項中的簡寫時。它也是開啟統一儀表板的入口。
執行需求
僅包含指示,不含指令碼。需要一個可讀寫的工作目錄,以及外掛根目錄下的 dashboard.html 範本。選用的 MCP 資料來源(聊天、電子郵件、文件、行事曆)僅用於選用的全面掃描。

Start Command

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Initialize the task and memory systems, then open the unified dashboard.

Instructions

1. Check What Exists

Check the working directory for:

  • TASKS.md — task list
  • CLAUDE.md — working memory
  • memory/ — deep memory directory
  • dashboard.html — the visual UI

2. Create What's Missing

If TASKS.md doesn't exist: Create it with the standard template (see task-management skill). Place it in the current working directory.

If dashboard.html doesn't exist: Copy it from ${CLAUDE_PLUGIN_ROOT}/skills/dashboard.html to the current working directory.

If CLAUDE.md and memory/ don't exist: This is a fresh setup — after opening the dashboard, begin the memory bootstrap workflow (see below). Place these in the current working directory.

3. Open the Dashboard

Do NOT use open or xdg-open — in Cowork, the agent runs in a VM and shell open commands won't reach the user's browser. Instead, tell the user: "Dashboard is ready at dashboard.html. Open it from your file browser to get started."

4. Orient the User

If everything was already initialized:

Dashboard open. Your tasks and memory are both loaded.- /productivity:update to sync tasks and check memory- /productivity:update --comprehensive for a deep scan of all activity

If memory hasn't been bootstrapped yet, continue to step 5.

5. Bootstrap Memory (First Run Only)

Only do this if CLAUDE.md and memory/ don't exist yet.

The best source of workplace language is the user's actual task list. Real tasks = real shorthand.

Ask the user:

Where do you keep your todos or task list? This could be:- A local file (e.g., TASKS.md, todo.txt)- An app (e.g. Asana, Linear, Jira, Notion, Todoist)- A notes file
I'll use your tasks to learn your workplace shorthand.

Once you have access to the task list:

For each task item, analyze it for potential shorthand:

  • Names that might be nicknames
  • Acronyms or abbreviations
  • Project references or codenames
  • Internal terms or jargon

For each item, decode it interactively:

Task: "Send PSR to Todd re: Phoenix blockers"
I see some terms I want to make sure I understand:
1. **PSR** - What does this stand for?2. **Todd** - Who is Todd? (full name, role)3. **Phoenix** - Is this a project codename? What's it about?

Continue through each task, asking only about terms you haven't already decoded.

6. Optional Comprehensive Scan

After task list decoding, offer:

Do you want me to do a comprehensive scan of your messages, emails, and documents?This takes longer but builds much richer context about the people, projects, and terms in your work.
Or we can stick with what we have and add context later.

If they choose comprehensive scan:

Gather data from available MCP sources:

  • Chat: Recent messages, channels, DMs
  • Email: Sent messages, recipients
  • Documents: Recent docs, collaborators
  • Calendar: Meetings, attendees

Build a braindump of people, projects, and terms found. Present findings grouped by confidence:

  • Ready to add (high confidence) — offer to add directly
  • Needs clarification — ask the user
  • Low frequency / unclear — note for later

7. Write Memory Files

From everything gathered, create:

CLAUDE.md (working memory, ~50-80 lines):

markdown
# Memory
## Me[Name], [Role] on [Team].
## People| Who | Role ||-----|------|| **[Nickname]** | [Full Name], [role] |
## Terms| Term | Meaning ||------|---------|| [acronym] | [expansion] |
## Projects| Name | What ||------|------|| **[Codename]** | [description] |
## Preferences- [preferences discovered]

memory/ directory:

  • memory/glossary.md — full decoder ring (acronyms, terms, nicknames, codenames)
  • memory/people/{name}.md — individual profiles
  • memory/projects/{name}.md — project details
  • memory/context/company.md — teams, tools, processes

8. Report Results

Productivity system ready:- Tasks: TASKS.md (X items)- Memory: X people, X terms, X projects- Dashboard: open in browser
Use /productivity:update to keep things current (add --comprehensive for a deep scan).

Notes

  • If memory is already initialized, this just opens the dashboard
  • Nicknames are critical — always capture how people are actually referred to
  • If a source isn't available, skip it and note the gap
  • Memory grows organically through natural conversation after bootstrap

來源與署名

來源:anthropics/knowledge-work-plugins位於productivity/skills/start提交ae1513e

授權條款: 無授權條款

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