# LogicSpec

> LogicSpec — shynfard-logicspec. Use this tool when you need to design and validate application feature logic using a YAML-based domain-specific language (DSL). LogicSpec solves the problem of complex feature development by providing a visualizable and machine-readable format, allowing for seamless collaboration between humans and AI agents. It takes in YAML inputs and outputs visual representations via VS Code canvas, Mermaid, or Obsidian, making it ideal for use cases involving automated feature validation and AI-driven development.

Canonical page: https://skillsregistry.net/skills/shynfard-logicspec  
JSON: https://api.skillsregistry.net/v1/skills/shynfard-logicspec

## Description

YAML DSL for designing application feature logic — validate it, visualize it (VS Code canvas, Mermaid, Obsidian), and let AI agents read and write it via MCP

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/shynfard/LogicSpec)

## 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": "shynfard-logicspec"
    }
  }
}
```

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