# codify

> Use this tool when you need to automate the generation of context, specs, and Agent Skills from project descriptions. It solves the problem of manual configuration by providing a MCP server and CLI interface that takes project descriptions as input and outputs tailored blueprints for AI agents. Ideal for use in development workflows, especially those integrated with git.

Canonical page: https://skillsregistry.net/skills/jorelcb-codify  
JSON: https://api.skillsregistry.net/v1/skills/jorelcb-codify

## Description

Give your AI agent the blueprint it needs. MCP server & CLI that generates context, specs, and Agent Skills from project descriptions — powered by Claude & Gemini.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-05-08

## Source

- **Source listing:** [GitHub](https://github.com/jorelcb/codify)

## 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": "jorelcb-codify"
    }
  }
}
```

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