# Aura

> Aura — izzosol-aura. Use this tool when you need to optimize large language model interactions by caching recurring prompts, compressing conversation history, and distilling bloated system prompts, reducing computational costs and improving efficiency. It accepts input prompts and outputs optimized, compressed responses through its CLI, MCP server, or library interface. Ideal for applications where reducing token usage is crucial, such as in chatbots or virtual assistants.

Canonical page: https://skillsregistry.net/skills/izzosol-aura  
JSON: https://api.skillsregistry.net/v1/skills/izzosol-aura

## Description

AURA — dependency-free LLM token-saver. Answer recurring prompts free (cache/compute/skills), compress history, and DISTILL bloated system prompts. CLI + MCP server (Claude/Cursor/Claude Code) + library. v0.5.0

## Trust

- **Trust score (0–1):** 0.60
- **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/IzzoSol/Aura)

## 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": "izzosol-aura"
    }
  }
}
```

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