task-management

Manages tasks in Mission Control. Use when creating, updating, or querying tasks, goals, projects, or brain dump entries. Applies when the user mentions tasks, priorities, to-dos, planning, or asks about what needs to be done.

328 stars

byMeisnerDan

View on GitHub Installation ↓

Best use case

task-management is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Teams using task-management should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/task-management/SKILL.md --create-dirs "https://raw.githubusercontent.com/MeisnerDan/mission-control/main/skills/task-management/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/task-management/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How task-management Compares

Feature / Agent	task-management	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

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See the top AI agent skills for productivity, workflow automation, operational systems, documentation, and everyday task execution.

SKILL.md Source

# Task Management in Mission Control

All data lives in `mission-control/data/` as JSON files. Read and write these directly.

## Quick Reference
- **AI Context**: `mission-control/data/ai-context.md` (read this FIRST for a snapshot)
- **Tasks**: `mission-control/data/tasks.json`
- **Goals**: `mission-control/data/goals.json`
- **Projects**: `mission-control/data/projects.json`
- **Brain Dump**: `mission-control/data/brain-dump.json`

## Creating a Task
Required fields: `id`, `title`, `description`, `importance`, `urgency`, `kanban`, `assignedTo`

```json
{
  "id": "task_{Date.now()}",
  "title": "Action-oriented title",
  "description": "What needs to be done",
  "importance": "important",
  "urgency": "urgent",
  "kanban": "not-started",
  "projectId": "proj_001",
  "milestoneId": "mile_001",
  "assignedTo": "developer",
  "dailyActions": [],
  "tags": ["tag1"],
  "notes": "",
  "createdAt": "ISO-8601",
  "updatedAt": "ISO-8601",
  "completedAt": null
}
```

## Updating a Task
- Always update `updatedAt` to current ISO timestamp
- When kanban becomes `"done"`: set `completedAt` to current ISO timestamp
- When kanban changes from `"done"`: set `completedAt` to null

## Agent Assignment Rules
- Code/implementation tasks → `"developer"`
- Research/analysis tasks → `"researcher"`
- Marketing/content tasks → `"marketer"`
- Strategy/planning tasks → `"business-analyst"`
- Decisions/approvals → `"me"`

## After Any Data Modification
Run `pnpm gen:context` in `mission-control/` to regenerate `ai-context.md`

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