Start

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

作者 anthropicsae1513ea94dcb74a7f1505ddcf3b0ec3fab327f1无许可证27K 个星标收录于 2026年10月9日更新于 2026年10月9日仓库今天更新

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.

精选仅含说明Productivity & Workflow
AI 生成的概览

初始化个人生产力系统:任务清单、工作记忆文件和仪表盘。

功能
检查工作目录中是否存在 TASKS.md、CLAUDE.md、memory 目录和 dashboard.html,并按模板创建缺失的部分。随后提示用户从文件浏览器打开仪表盘;首次运行时,会引导用户查看现有任务清单,解读其中的昵称、缩写和项目代号。根据这些信息,它会写出工作记忆文件以及术语表、人员、项目和公司背景文件,并汇报初始化结果。
适用场景
适用于首次设置生产力插件、从现有任务清单引导工作记忆,或解读待办事项中的简写时。它也是打开统一仪表盘的入口。
运行要求
仅包含指令,不含脚本。需要一个可读写的工作目录,以及插件根目录下的 dashboard.html 模板。可选的 MCP 数据源(聊天、邮件、文档、日历)仅用于可选的全面扫描。

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

来源与署名

来源:anthropics/knowledge-work-plugins位于productivity/skills/start提交ae1513e

许可证: 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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