start
How to Install
Claude Code:
git clone --depth 1 https://github.com/anthropics/knowledge-work-plugins.git && cp knowledge-work-plugins/productivity/skills/start ~/.claude/skills/start -r---
name: start
description: 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.
---
# Start Command
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../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
Details
| Category | Productivity → tools |
| Source | anthropics/knowledge-work-plugins |
| SKILL.md | View on GitHub → |
| Repo Stars | ★ 21.8K |
| Est. per Skill | 164 (shared across 133 skills from this repo) |
| Difficulty | Intermediate |
| Risk Level | Safe |
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