# Chain of Thought Task Manager

> Use this tool when you need to manage complex tasks and maintain coherent thought processes across multiple interactions. The Chain of Thought Task Manager converts natural language into organized development tasks with dependency tracking and verification criteria, guiding AI agents through planning, analysis, and execution phases. It solves problems of context loss and disorganized reasoning, providing a structured workflow for developers working with reasoning-focused AI systems.

Canonical page: https://skillsregistry.net/skills/liorfranko-chain-of-thought  
JSON: https://api.skillsregistry.net/v1/skills/liorfranko-chain-of-thought

## Description

MCP Chain of Thought is a task management system built for AI agents that emphasizes structured reasoning through chain-of-thought, reflection, and style consistency. Developed by liorfranko, it converts natural language into organized development tasks with dependency tracking, implementation guides, and verification criteria. The system features a workflow that guides agents through planning, analysis, reflection, task decomposition, and execution phases, with built-in memory management to prevent context loss during complex problem-solving. It's particularly valuable for developers working with reasoning-focused AI systems that need to maintain coherent thought processes across multiple interactions.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/liorfranko-chain-of-thought)
- **Repository:** <https://github.com/liorfranko/mcp-chain-of-thought>

## 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": "liorfranko-chain-of-thought"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/liorfranko-chain-of-thought` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/liorfranko-chain-of-thought/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