# Context Management System

> Use this tool when you need to manage complex conversations and tasks across multiple chat sessions, enabling AI development tools to maintain context and track progress. It solves problems of information loss and disorganized task management, providing a seamless user experience. With automatic branching and TODO management, it takes in user inputs and task assignments, outputting organized progress tracking and context retention.

Canonical page: https://skillsregistry.net/skills/oagrawal-arbor-mcp  
JSON: https://api.skillsregistry.net/v1/skills/oagrawal-arbor-mcp

## Description

Enables AI development tools to maintain context across chat sessions with automatic branching, progress tracking, and TODO management for different tasks.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h7xvr9dhz7)
- **Repository:** <https://github.com/oagrawal/Arbor_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": "oagrawal-arbor-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oagrawal-arbor-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oagrawal-arbor-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