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claude-starter-kit

Sserpro69
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serpro69/claude-starter-kit
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๐Ÿ’ก Summary

A template repository for developing AI-powered collaborative workflows with Claude Code.

๐ŸŽฏ Target Audience

AI developers looking for collaborative toolsSoftware teams implementing AI featuresProject managers overseeing AI projectsDevelopers interested in semantic code analysisTechnical leads managing multi-developer environments

๐Ÿค– AI Roast: โ€œPowerful, but the setup might scare off the impatient.โ€

Security AnalysisMedium Risk

Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); API keys/tokens handling and storage; filesystem read/write scope and path traversal. Run with least privilege and audit before enabling in production.

claude-starter-kit

Mentioned in Awesome Claude Code

Starter template repo for all your Claude Code needs

About

This is a starter template repository designed to provide a complete development environment for Claude-Code with pre-configured MCP servers and tools for AI-powered, collaborative, development workflows. The defaults are intentionally minimal, containing only configuration templates for three primary systems: Claude Code, Serena, and Task Master. Users can opt-in to additional claude-code features like skills, plugins, hooks, sub-agents, and so on.

[!NOTE] This configuration also focuses on collaborative development workflows where multiple developers are working on the same code-base, which is one of the reasons why most of claude- and mcp-related settings are local-scoped (i.e. most claude settings will be in .claude/settings.local.json so they can be shared with the entire dev team, and not in user-scoped ~/claude/settings.json, which are harder to share with others.)

For this same reason, most of the claude/mcp configuration files are not git-ignored, but instead committed to the repo.

Features

  • ๐Ÿค– Four Pre-Configured MCP Servers

    • Context7: Up-to-date library documentation and code examples
    • Serena: Semantic code analysis with LSP integration for intelligent navigation
    • Task Master: AI-powered task management and workflow orchestration
    • Pal: Multi-model AI integration for debugging, code review, and planning
  • โš™๏ธ Automated Template Cleanup

    • GitHub Actions workflow for one-click repository initialization
    • Configurable inputs for language detection and Task Master settings
    • Automatic cleanup of template-specific files for a clean starting point
  • ๐Ÿ“‹ 50+ Task Master Slash Commands

    • Pre-configured hierarchical command structure under /project:tm/
    • Commands for task management, complexity analysis, PRD parsing, and workflows
    • Complete command reference in .claude/TM_COMMANDS_GUIDE.md
  • ๐Ÿ” Intelligent Code Navigation

    • Serena's symbol-based code analysis for efficient exploration
    • Token-efficient reading with overview and targeted symbol queries
    • Reference tracking and semantic understanding across your codebase
  • ๐Ÿ“ Configuration Templates

    • Ready-to-use templates for .serena/, .taskmaster/, and .claude/ directories
    • Placeholder-based customization with repository-specific values
    • Permission configuration for tool access control
  • ๐Ÿ“š Comprehensive Documentation

    • Project-level CLAUDE.md with integration guidance
    • Task Master integration guide with 400+ lines of best practices
    • Complete workflow specification and command references

Requirements

You will need the following on your workstation:

Tools

  • npm
  • uv
  • jq - Required for .github/scripts/template-cleanup.sh

API Keys

Claude claude.json mcp settings

You need to have mcpServers present and configured in your ~/.claude.json.

[!NOTE] The reason we put them in the user's claude.json configuration, instead of repo local settings, is to prevent committing API keys, which some MCP servers might require.

These configs are also generic enough that they can be re-used across every project, and hence is better placed in user's settings.

Here's an example mcpServers object that you can use as a reference:

{ "context7": { "type": "http", "url": "https://mcp.context7.com/mcp", "headers": { "CONTEXT7_API_KEY": "YOUR_CONTEXT7_API_KEY" } }, "serena": { "type": "stdio", "command": "uvx", "args": [ "--from", "git+https://github.com/oraios/serena", "serena", "start-mcp-server", "--context", "ide-assistant", "--project", "." ], "env": {} }, "task-master-ai": { "type": "stdio", "command": "npx", "args": [ "-y", "--package=task-master-ai", "task-master-ai" ], "headers": {} }, "pal": { "command": "sh", "args": [ "-c", "$HOME/.local/bin/uvx --from git+https://github.com/BeehiveInnovations/pal-mcp-server.git pal-mcp-server" ], "env": { "PATH": "/usr/local/bin:/usr/bin:/bin:~/.local/bin", # see https://github.com/BeehiveInnovations/pal-mcp-server/blob/main/docs/configuration.md#model-configuration "DEFAULT_MODEL": "auto", # see https://github.com/BeehiveInnovations/pal-mcp-server/blob/main/docs/advanced-usage.md#thinking-modes "DEFAULT_THINKING_MODE_THINKDEEP": "high", "GEMINI_API_KEY": "YOUR_GEMINI_API_KEY", # see https://github.com/BeehiveInnovations/pal-mcp-server/blob/main/docs/configuration.md#model-usage-restrictions "GOOGLE_ALLOWED_MODELS": "gemini-3-pro-preview,gemini-2.5-pro,gemini-2.5-flash" } } }

Quick Start

  1. Create a new project based on this template repository using the Use this template button.

  2. A scaffold repo will appear in your GitHub account.

  3. Run the template-cleanup workflow from your new repo, and provide some inputs for your specific use-case.

Serena MCP Configuration Inputs:

[!TIP] Take a look at serena project.yaml configuration file for more details.

Task-Master MCP Configuration Inputs:

  • TM_CUSTOM_SYSTEM_PROMPT - custom system prompt to override Claude Code's default behavior

  • TM_APPEND_SYSTEM_PROMPT - append additional content to the system prompt

  • TM_PERMISSION_MODE - permission mode for file system operations

[!TIP] See Task Master Advanced Claude Code Settings Usage for more details on the above parameters.

  1. Clone your new repo and cd into it

    Run claude /mcp, you should see the mcp servers configured and active:

    > /mcp
    โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
    โ”‚ Manage MCP servers                                                 โ”‚
    โ”‚                                                                    โ”‚
    โ”‚ โฏ 1. context7                  โœ” connected ยท Enter to view details โ”‚
    โ”‚   2. serena                    โœ” connected ยท Enter to view details โ”‚
    โ”‚   3. task-master-ai            โœ” connected ยท Enter to view details โ”‚
    โ”‚   4. pal                       โœ” connected ยท Enter to view details โ”‚
    โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
    

    Run claude "list your skills", you should see the skills from this repo present:

    > list your skills
    
    โ— I have access to the following skills:
    
      Available Skills
    
      analysis-process
      Turn the idea for a feature into a fully-formed PRD/design/specification and implementation-plan. Use in pre-implementation (idea-to-design) stages to make sure you
      understand the requirements and have a correct implementation plan before writing actual code.
    
      documentation-process
      After implementing a new feature or fixing a bug, make sure to document the changes. Use after finishing the implementation phase for a feature or a bug-fix.
    
      task-master-process
      Workflow for task-master-ai when working with task-master tasks and PRDs. Use when creating or parsing PRDs from requirements, adding/updating/expanding tasks and other task-master-ai operations.
    
      testing-process
      Guidelines describing how to test the code. Use whenever writing new or updating existing code, for example after implementing a new feature or fixing a bug.
    
      ---
      These skills provide specialized workflows for different stages of development. You can invoke any of them by asking me to use a specific skill (e.g., "use the analysis-process skill" or "help me document this feature").
    
  2. Update the README.md with a full description of your project, then run chmod +x bootstrap.sh && ./bootstrap.sh to finalize initialization of the repo.

  3. Profit

Receiving Template Updates

Repositories created from this template can receive configuration updates via the Template Sync feature.

Prerequisites

  • Repository must have been created after template sync feature was added, OR
    • Manually create .github/template-state.json (see Migration section below)
  • Allow actions to create pull-requests in the repo. Go to repo Settings -> Actions

Using Template Sync

  1. Navigate to Actions โ†’ Template Sync
  2. Click Run workflow
  3. Configure options:
    • version: latest (default)
5-Dim Analysis
Clarity8/10
Novelty8/10
Utility9/10
Completeness8/10
Maintainability7/10
Pros & Cons

Pros

  • Comprehensive setup for collaborative AI development
  • Pre-configured servers for various tasks
  • Automated template cleanup for easy initialization

Cons

  • Requires multiple API keys for full functionality
  • Initial setup can be complex for beginners
  • Limited documentation on advanced features

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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author serpro69.