# Skill Jack MCP

> Use this tool when you need to integrate agent skills into large language models (LLMs) to enhance their capabilities. It solves the problem of skill discovery and loading by automatically detecting skills in a configured directory and progressively loading their instructions and resources on demand. This tool is ideal for use cases where LLMs require access to diverse skills and resources to improve their performance and responsiveness.

Canonical page: https://skillsregistry.net/skills/olaservo-skill-jack-mcp  
JSON: https://api.skillsregistry.net/v1/skills/olaservo-skill-jack-mcp

## Description

Integrates Agent Skills into LLMs by discovering skills in a configured directory and progressively loading their instructions and resources on demand through a structured disclosure pattern.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wney2g94yy)
- **Repository:** <https://github.com/olaservo/skilljack-mcp>

## 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": "olaservo-skill-jack-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/olaservo-skill-jack-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/olaservo-skill-jack-mcp/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