# rush-reskill-usage

> rush-reskill-usage — krislavten-rush-reskill-usage. Use this tool when you need to manage and deploy AI agent skills efficiently, solving problems of skill deployment and version control. It takes in AI agent skills and Git repositories as inputs and outputs a seamlessly integrated skill package. Utilize it in contexts where AI agent skill management and updates are crucial, such as continuous learning and development environments.

Canonical page: https://skillsregistry.net/skills/krislavten-rush-reskill-usage  
JSON: https://api.skillsregistry.net/v1/skills/krislavten-rush-reskill-usage

## Description

Teaches AI agents how to use reskill — a Git-based package manager for AI agent skills.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/krislavten-rush-reskill-usage)

## 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": "krislavten-rush-reskill-usage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/krislavten-rush-reskill-usage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/krislavten-rush-reskill-usage/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