robomotionio/robomotion-skills/start
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Checking that the SKILL.md file is still in the repository.
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.
Install
npx vskill@latest install robomotionio/robomotion-skills/startSKILL.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:
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:
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:
Continue through each task, asking only about terms you haven't already decoded.
6. Optional Comprehensive Scan
After task list decoding, offer:
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/ 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
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
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingknowledge-work-plugins/plugins/productivity/skills/start/SKILL.md
Popularity
- 7-day trend score
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