# Doit

> Use this tool when you need to manage complex workflows and track tasks for multiple projects or tenants. Doit solves problems of disorganized task management, dependency conflicts, and version control by providing hierarchical task tracking, automatic readiness detection, and hash-based IDs. It accepts inputs through a command-line interface (CLI) or message-based communication protocol (MCP) server and outputs task status and readiness notifications.

Canonical page: https://skillsregistry.net/skills/actual-outcomes-doit  
JSON: https://api.skillsregistry.net/v1/skills/actual-outcomes-doit

## Description

Provides work planning and tracking capabilities for AI agents through both a CLI and an MCP server interface. Features hierarchical task management (epic, task, subtask), dependency tracking with automatic readiness detection, hash-based IDs to prevent merge conflicts, and multi-tenant support with API keys. Built on PostgreSQL with a Go architecture following proven patterns.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/actual-outcomes-doit)
- **Repository:** <https://github.com/actual-outcomes/doit>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "actual-outcomes-doit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/actual-outcomes-doit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/actual-outcomes-doit/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt