# reposeed

> reposeed — m2ai-portfolio-reposeed. Use this tool when you need to quickly set up a new project with a standardized structure and configuration. Reposeed generates a ready-to-run project scaffold from a natural-language description, automating boilerplate setup for solo developers and saving hours of time. It takes a natural-language input and outputs a fully configured project with documentation, CI, linting, and server setup, integrated with git.

Canonical page: https://skillsregistry.net/skills/m2ai-portfolio-reposeed  
JSON: https://api.skillsregistry.net/v1/skills/m2ai-portfolio-reposeed

## Description

Automatically generates a ready‑to‑run project scaffold—structure, docs, CI, linting, MCP server—from a natural‑language description, saving solo devs hours of boilerplate setup.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/m2ai-portfolio/reposeed)

## 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": "m2ai-portfolio-reposeed"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/m2ai-portfolio-reposeed` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/m2ai-portfolio-reposeed/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