# AgentTakt

> AgentTakt — ryoohshima-agenttakt. Use this tool when you need to review and approve AI agent task plans efficiently, as it solves the problem of complex task management by providing a user-friendly node editor interface directly in your terminal. AgentTakt takes in AI agent task plans as input and outputs approved plans, streamlining the workflow. Ideal for use cases where terminal-based workflow management is preferred, such as in MCP server environments.

Canonical page: https://skillsregistry.net/skills/ryoohshima-agenttakt  
JSON: https://api.skillsregistry.net/v1/skills/ryoohshima-agenttakt

## Description

Review & approve AI agent task plans in a ComfyUI-style node editor, right in your terminal (MCP server + TUI)

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ghmg8z30e8)
- **Repository:** <https://github.com/ryoohshima/AgentTakt>

## 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": "ryoohshima-agenttakt"
    }
  }
}
```

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