# wasl

> wasl — chikhaoui-amine-wasl. Use this tool when you need to manage a local-first personal workspace with seamless integration of AI and version control. It solves problems of data ownership, offline work, and AI connectivity, allowing users to work independently and sync changes when needed. With git capabilities, it provides a robust interface for tracking changes and collaborating on projects.

Canonical page: https://skillsregistry.net/skills/chikhaoui-amine-wasl  
JSON: https://api.skillsregistry.net/v1/skills/chikhaoui-amine-wasl

## Description

Local-first personal workspace with MCP integration - own your data, work offline, and connect your system to AI.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/chikhaoui-amine/wasl)

## 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": "chikhaoui-amine-wasl"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chikhaoui-amine-wasl` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chikhaoui-amine-wasl/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