# Vibe Coding

> Use this tool when you need to streamline code documentation and decision tracking, automating the collection and summarization of coding session outcomes to reduce manual effort and improve collaboration. It solves problems of disorganized codebases, lost design decisions, and tedious documentation processes, providing a unified interface for code analysis, conversation summarization, and document generation. With inputs from coding sessions and outputs to various platforms like GitHub, Notion, and Confluence, Vibe Coding is ideal for development teams seeking to enhance transparency and knowledge sharing.

Canonical page: https://skillsregistry.net/skills/muse-code-space-vibe-coding  
JSON: https://api.skillsregistry.net/v1/skills/muse-code-space-vibe-coding

## Description

Vibe Coding automatically collects, summarizes, documents, and publishes code and design decisions from coding sessions. It provides tools for code context collection, conversation summarization, design decision extraction, and document generation including README, API docs, and architecture specs. Features AST-based code analysis with Mermaid diagram generation, session history management, git integration, and multi-platform publishing to Notion, GitHub Wiki, Obsidian, Confluence, Slack, and Discord.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/muse-code-space-vibe-coding)
- **Repository:** <https://github.com/muse-code-space/vibe-coding-mcp>

## 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": "muse-code-space-vibe-coding"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/muse-code-space-vibe-coding` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/muse-code-space-vibe-coding/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