# doramagic-skill-loader-mcp-server-pack

> doramagic-skill-loader-mcp-server-pack — tangweigang-jpg-doramagic-skill-loader-mcp-server-pack. Use this tool when you need to enhance AI coding agents with advanced validation and recovery features. It solves problems related to code quality and reliability by adding gates, checks, and rules to the skill-loader-mcp-server. This pack takes in AI coding scenarios and outputs validated and refined code, ideal for use in development environments where code quality and stability are crucial.

Canonical page: https://skillsregistry.net/skills/tangweigang-jpg-doramagic-skill-loader-mcp-server-pack  
JSON: https://api.skillsregistry.net/v1/skills/tangweigang-jpg-doramagic-skill-loader-mcp-server-pack

## Description

Skill Loader MCP Server AI context pack for Claude Code, Codex, Cursor, and Aider: AGENTS.md, CLAUDE.md, prompts, evals, pitfalls, and verification notes for goldzulu/skill-loader-mcp-server.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/tangweigang-jpg/doramagic-skill-loader-mcp-server-pack)

## 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": "tangweigang-jpg-doramagic-skill-loader-mcp-server-pack"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tangweigang-jpg-doramagic-skill-loader-mcp-server-pack` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tangweigang-jpg-doramagic-skill-loader-mcp-server-pack/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