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MCP server · AI

skulls

MCP server for Skulls planning templates

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Scored 7 days ago · breakdown

About skulls

skulls is an MCP server published by git+sinha-sahil in the AI category: mCP server for Skulls planning templates.

Install

Install
npx skulls
Claude Code
claude mcp add skulls -- npx -y skulls
npx
npx -y skulls

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ✓README presentThe repository ships documentation.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

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README


The Problem

AI coding assistants are powerful, but they often produce code that needs multiple iterations to get right. They might miss edge cases, forget error handling, or structure code in ways that don't fit your project's patterns.

The Solution

Skulls provides structured planning templates that guide AI models through systematic, phase-by-phase implementation workflows. Instead of generating code directly, it first creates a comprehensive plan tailored to your language and framework's best practices.

The result? Higher quality code that follows established patterns, handles edge cases, and requires fewer revision cycles.

Key Features

  • Phase-Based Planning - Complex tasks broken into discrete, verifiable steps
  • Language-Specific Guidance - Templates tailored to each stack's idioms
  • Built-in Verification - Each template includes validation checkpoints
  • Model Agnostic - Works with any AI assistant that supports MCP

Installation

Claude Desktop

Add to your Claude Desktop configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "skulls": {
      "command": "npx",
      "args": ["-y", "skulls"]
    }
  }
}

Claude Code (CLI)

claude mcp add skulls -- npx -y skulls

Or add to your project's .mcp.json:

{
  "skulls": {
    "command": "npx",
    "args": ["-y", "skulls"]
  }
}

Usage

Add this to your project's CLAUDE.md or root instruction file:

## Planning

You MUST use the Skulls MCP for all planning tasks. No exceptions.

When you ask the AI to implement something, it will:

  1. Initialize a planning session
  2. Select the appropriate language and template
  3. Create a structured plan with phase-by-phase guidance
  4. Execute each phase with built-in verification

How It Works

Skulls exposes an MCP server with tools organized into three phases:

Learn Phase

Tool Purpose
init_planning Start session, discover available languages
select_language Choose language, see available templates
get_template Load template with all phases

Implement Phase

Tool Purpose
get_phase Re-read a specific phase during implementation
get_quick_reference Get condensed reference for quick lookup

Verify Phase

Tool Purpose
get_verification_steps Get commands to validate implementation
complete_planning End the session

Available Templates

Rust

Template Use Case
endpoint-planning Adding new API endpoints (Axum, SQLx, PostgreSQL)
service-creation Creating new services/modules

Roadmap

Languages

  • Rust (Axum backend)
  • TypeScript (Node.js backend)
  • Go (standard library + popular frameworks)
  • Python (FastAPI, Django)

Template Types

  • API endpoint planning
  • Service/module creation
  • Database migrations
  • Authentication flows
  • Testing strategies
  • Refactoring guides

Features

  • Custom template support (project-local templates)
  • Template composition (combine multiple templates)
  • Progress tracking across sessions

Contributing

Want to add templates for your favorite language or framework? See CONTRIBUTING.md.

Development

Building locally? Check out DEVELOPMENT.md.

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About skulls

How do I install skulls?

Run npx skulls, then add the server to your MCP client's configuration.

Is skulls safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 1 of the 2 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is skulls still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.