# Branchpoint

> Branchpoint — caarlosgg-branchpoint. Use this tool when you need to maintain context awareness across multiple Git branches and sessions. Branchpoint solves the problem of context mixing and state inconsistency by storing branch-aware summaries and automatically updating them with recent commits and divergence from main. It provides a persistent memory interface that takes in Git branch data and outputs enriched context summaries, ideal for use cases requiring coherent state management across different development branches.

Canonical page: https://skillsregistry.net/skills/caarlosgg-branchpoint  
JSON: https://api.skillsregistry.net/v1/skills/caarlosgg-branchpoint

## Description

Provides AI agents with persistent, branch-aware context memory by storing summaries per Git branch and automatically enriching them with recent commits and divergence from main. Enables agents to maintain coherent state across sessions without mixing contexts from different branches.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mcf2ai6edk)
- **Repository:** <https://github.com/Caarlosgg/branchpoint>

## 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": "caarlosgg-branchpoint"
    }
  }
}
```

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