# My Prompts

> Use this tool when you need to manage and serve customized prompts with structured arguments for AI models, solving issues with prompt organization and reuse. It takes Markdown files with YAML front matter as input and outputs user-defined prompts through the Model Context Protocol. Ideal for use cases where complex prompt definitions and placeholder substitutions are required, integrating with clients like Claude Desktop and Cherry Studio.

Canonical page: https://skillsregistry.net/skills/vjik-my-prompts  
JSON: https://api.skillsregistry.net/v1/skills/vjik-my-prompts

## Description

My Prompts serves user-defined prompts stored as Markdown files through the Model Context Protocol. Prompts use YAML front matter to define names, descriptions, and typed arguments, with placeholder substitution via double-brace syntax. Supports both simple and complex argument definitions with required/optional flags. Works with Claude Desktop, Cherry Studio, and other MCP clients. Built in PHP with Docker support.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/vjik-my-prompts)
- **Repository:** <https://github.com/vjik/my-prompts-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": "vjik-my-prompts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vjik-my-prompts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vjik-my-prompts/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