# project-guides

> project-guides — radthenone-ai-instruction-kit-mcp. Use this tool when you need to streamline project development with tailored guidance, as it provides project-specific guides and instructions based on a project's tech stack and architecture, taking in project profiles as input and outputting contextual instructions. It solves the problem of information overload and generic tutorials, allowing developers to focus on their unique project needs. Ideal for use when starting a new project or onboarding to an existing one, it helps developers get up to speed quickly and efficiently.

Canonical page: https://skillsregistry.net/skills/radthenone-ai-instruction-kit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/radthenone-ai-instruction-kit-mcp

## Description

Provides project-specific guides and instructions by selecting modules based on a project profile, enabling developers to get contextual instructions for their tech stack and architecture.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jol1q5v5iw)
- **Repository:** <https://github.com/radthenone/ai-instruction-kit-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": "radthenone-ai-instruction-kit-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/radthenone-ai-instruction-kit-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/radthenone-ai-instruction-kit-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