start▌
anthropics/knowledge-work-plugins · updated Apr 8, 2026
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
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 listCLAUDE.md— working memorymemory/— deep memory directorydashboard.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):
# 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 profilesmemory/projects/{name}.md— project detailsmemory/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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★60 reviews- ★★★★★Henry Torres· Dec 24, 2024
I recommend start for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ren Torres· Dec 20, 2024
We added start from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ren Jackson· Dec 12, 2024
start has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ira Johnson· Dec 12, 2024
Solid pick for teams standardizing on skills: start is focused, and the summary matches what you get after install.
- ★★★★★Pratham Ware· Dec 4, 2024
Useful defaults in start — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakshi Patil· Nov 23, 2024
start has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Diego Ramirez· Nov 15, 2024
Solid pick for teams standardizing on skills: start is focused, and the summary matches what you get after install.
- ★★★★★Jin Jain· Nov 11, 2024
Keeps context tight: start is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Alexander Smith· Nov 3, 2024
Useful defaults in start — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Neel Harris· Nov 3, 2024
I recommend start for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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