# replen

> replen — replenhq-replen. Use this tool when you need to streamline AI development workflows and improve collaboration through automated git integration. It solves problems of manual version control and facilitates seamless project management, reducing errors and increasing productivity. By providing a unified interface for git-based workflows, replen enables efficient input of code changes and output of optimized AI models.

Canonical page: https://skillsregistry.net/skills/replenhq-replen  
JSON: https://api.skillsregistry.net/v1/skills/replenhq-replen

## Description

Smarter AI Development Workflows

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **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/replenhq/replen)

## 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": "replenhq-replen"
    }
  }
}
```

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

---
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