# avvarre

> avvarre — pralhadyadawad-avvarre. Use this tool when you need to retain AI context beyond a single chat session, requiring persistent memory and analysis capabilities. It solves problems related to impact analysis and style audits, providing instant results with a single command. Ideal for git-based projects, avvarre offers a unified interface for repository memory, analysis, and auditing.

Canonical page: https://skillsregistry.net/skills/pralhadyadawad-avvarre  
JSON: https://api.skillsregistry.net/v1/skills/pralhadyadawad-avvarre

## Description

AI context that survives the chat window. Persistent repo memory, impact analysis, and instant style audits in one command.

## Trust

- **Trust score (0–1):** 0.22
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/PralhadYadawad/avvarre)

## 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": "pralhadyadawad-avvarre"
    }
  }
}
```

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