# sugar

> sugar — yurik2700-sugar. Use this tool when you need to retain context and knowledge across coding sessions, enabling AI agents to learn and execute tasks autonomously with persistent memory. It solves problems of knowledge loss and repetition, providing a local-first and cross-session context for global knowledge sharing. Ideal for use cases requiring continuous learning and task execution, with optional git integration for version control.

Canonical page: https://skillsregistry.net/skills/yurik2700-sugar  
JSON: https://api.skillsregistry.net/v1/skills/yurik2700-sugar

## Description

Persistent memory for AI coding agents. Local-first, cross-session context, global knowledge, and optional autonomous task execution.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-10-14

## Source

- **Source listing:** [GitHub](https://github.com/Yurik2700/sugar)

## 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": "yurik2700-sugar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yurik2700-sugar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yurik2700-sugar/pull`

---
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