# Taskaid

> Taskaid — ai-taskaid-taskaid. Use this tool when you need to collaborate with AI agents to manage and complete tasks efficiently. Taskaid solves problems of workflow management, task assignment, and productivity by providing a platform for humans and agents to work together. It takes in task inputs and outputs actionable results, making it ideal for use cases where teamwork and automation are crucial.

Canonical page: https://skillsregistry.net/skills/ai-taskaid-taskaid  
JSON: https://api.skillsregistry.net/v1/skills/ai-taskaid-taskaid

## Description

Taskaid is built for you and your agents to get work done together.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-06

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.taskaid%2Ftaskaid)

## Use it

MCP endpoint published by the skill: `https://taskaid.ai/mcp`

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": "ai-taskaid-taskaid"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-taskaid-taskaid` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-taskaid-taskaid/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