# loadbearing

> loadbearing — andypgray-loadbearing. Use this tool when you need to enforce architectural rules and generate AI-agent context from a single model, streamlining your development workflow with automated CLI, CI, and xUnit integration. It solves problems of inconsistent architecture and manual context generation, providing outputs like AGENTS.md and MCP files. Ideal for use in git-based projects requiring strict architecture adherence and AI-agent compatibility.

Canonical page: https://skillsregistry.net/skills/andypgray-loadbearing  
JSON: https://api.skillsregistry.net/v1/skills/andypgray-loadbearing

## Description

Fluent C# architecture spec that enforces the rules (CLI, CI, xUnit) and generates AI-agent context (AGENTS.md, MCP) from one model.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/andypgray/loadbearing)

## 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": "andypgray-loadbearing"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andypgray-loadbearing` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andypgray-loadbearing/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