# Task-Guide-MCP

> Use this tool when you need to enhance AI agent task performance and efficiency. It solves problems related to task complexity and search optimization by providing task area segmentation, hierarchical RAG, and hybrid search capabilities. Ideal for use cases requiring improved task execution and decision-making, it takes in task parameters and outputs optimized task plans and solutions.

Canonical page: https://skillsregistry.net/skills/2001302-task-guide-mcp  
JSON: https://api.skillsregistry.net/v1/skills/2001302-task-guide-mcp

## Description

Improves AI agent task performance by providing task area segmentation, hierarchical RAG, and hybrid search capabilities.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jp3xl1ntga)
- **Repository:** <https://github.com/2001302/Task-Guide-MCP>

## 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": "2001302-task-guide-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/2001302-task-guide-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/2001302-task-guide-mcp/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