tasks
$
npx mdskill add vellum-ai/vellum-assistant/tasksTwo-layer task system: **task templates** (reusable definitions with input placeholders) and **work items** (instances in the Task Queue with priority tiers and status tracking).
SKILL.md
.github/skills/tasksView on GitHub ↗
---
name: tasks
description: Two-layer task system with reusable templates and a prioritized work queue
compatibility: "Designed for Vellum personal assistants"
metadata:
icon: assets/icon.svg
emoji: "✅"
vellum:
category: "productivity"
display-name: "Tasks"
activation-hints:
- "User wants to add, check, or manage items on their to-do list or task queue"
- "For one-off action items, not recurring automations (use schedule for those)"
avoid-when:
- "User wants recurring/scheduled automation — use the schedule skill instead"
---
Two-layer task system: **task templates** (reusable definitions with input placeholders) and **work items** (instances in the Task Queue with priority tiers and status tracking).
## Task Templates
Templates are reusable definitions saved from conversations. They capture the conversation pattern with placeholders that can be run later with different inputs. Manage templates with the `assistant task` CLI:
```bash
# Save the current conversation as a reusable task template
assistant task save --conversation-id <id> --title "Weekly report"
# List all saved task templates
assistant task list
# Run a saved template with specific inputs
assistant task run --name "Weekly report" --inputs '{"team": "engineering"}'
# Delete a task template by ID
assistant task delete <id>
```
## Work Items (Task Queue)
Work items are the user-facing "Tasks" managed through conversation. They track status and priority:
- **Priority tiers**: 0 = high, 1 = medium (default), 2 = low
- **Status flow**: queued -> running -> awaiting_review -> done
- **Resolution precedence**: work_item_id > task_id > task_name > title
Manage the queue with `assistant task queue`:
```bash
# View the current task queue
assistant task queue show
# Add an item to the queue (ad-hoc or from a template)
assistant task queue add --title "Review Q2 metrics" --required-tools host_bash,web_search
# Update a work item's status
assistant task queue update --work-item-id <id> --status done
# Remove a work item from the queue
assistant task queue remove --work-item-id <id>
# Run a specific work item from the queue
assistant task queue run --work-item-id <id>
```
## Tips
- When the user says "add to my tasks" or "add to my queue", use `assistant task queue add` (NOT schedule).
- Use `assistant task save` only when the user wants to capture a conversation pattern as a reusable template.
- `assistant task list` shows saved templates; `assistant task queue show` shows the active work queue.
- **Always specify `--required-tools`** when running `assistant task queue add`. Think about what tools the task will need at execution time and list them explicitly (e.g. `host_bash` for shell commands, `host_file_read,host_file_write` for file operations, `web_search,web_fetch` for web lookups). The user must approve these tools before the task can run -- omitting them forces a fallback to all tools, which is noisy and may miss non-standard tools the task actually needs.
More from vellum-ai/vellum-assistant
- acpSpawn external coding agents via the Agent Client Protocol (ACP)
- amazonShop on Amazon and Amazon Fresh through your browser
- api-mappingRecord and analyze API surfaces of web services
- app-builderBuild and edit small, personal visual tools and artifacts — dashboards, trackers, calculators, data visualizations, charts, simple landing pages, and slide decks the user wants for THEMSELVES. This is the right skill whenever the user asks to "visualize this," "make a chart," or "build an artifact" for their own use, or to edit an app they already built here. Do NOT reach for a ui_show dynamic_page to fake an artifact — build a real persistent app here. NOT for complex, multi-user, or shippable products — those go to a real project folder with a coding agent (see Scope below).
- app-controlDrive a specific named macOS app via raw input bypassing the Accessibility tree
- assistant-migrationMigrate from ChatGPT, Claude, OpenClaw, Hermes, Manus, and other AI assistants into Vellum by inspecting their data exports, conversation archives, files, prompts, custom instructions, memory, saved memories, tools, GPTs, workflows, integrations, and relationships, then mapping as much as safely possible into Vellum primitives. Handles single-source and multi-source migrations with a unified, deduplicated inventory.
- chatgpt-importImport conversation history from ChatGPT into Vellum
- cli-discoverDiscover which CLI tools are installed, their versions, and authentication status
- computer-useControl the macOS desktop
- contactsManage contacts, communication channels, access control, and invite links