shavakan

Shavakan's Claude Marketplace

Personal marketplace for Claude Code, focusing on concise, technical workflows.

Installation

Add Marketplace:

/plugin marketplace add Shavakan/claude-marketplace

Install Plugins:

# Skills plugin
/plugin install shavakan-skills@shavakan

# Hooks plugin
/plugin install shavakan-hooks@shavakan

# Commands plugin
/plugin install shavakan-commands@shavakan

# Agents plugin
/plugin install shavakan-agents@shavakan

Or browse and install via Claude Code UI after adding the marketplace.

Enable Per-Project

Add plugins to .claude/settings.json in your project:

{
  "enabledPlugins": [
    "mcp-complex-projects@shavakan",
    "shavakan-mcp-github@shavakan"
  ]
}

Omit enabledPlugins to disable all plugins for simple projects.

---

Plugins

Skills & Hooks

shavakan-skills

Personal skill collection for specialized workflows.

shavakan-hooks

Multi-hook plugin for skill/agent auto-activation, build checking, and POSIX compliance.

Hooks:

1. Skill/Agent Auto-Activation (UserPromptSubmit): Analyzes prompts and suggests relevant skills or agents before execution
2. Build Checker (PostToolUse + Stop): Tracks file edits and runs builds for TypeScript, Python, and Go projects
3. POSIX Newline (PostToolUse): Adds final newlines to files after Write/Edit/MultiEdit operations

shavakan-commands

Slash commands for feature planning, context preservation, and repository cleanup.

Commands:

1. /shavakan-commands:dev-docs - Create comprehensive strategic plan + dev doc files
2. /shavakan-commands:dev-docs-update - Update dev docs context/tasks before compaction
3. /shavakan-commands:dev-docs-readme - Generate/update condensed developer README
4. /shavakan-commands:docs-feature-plan - Create feature plan files (plan.md, context.md, tasks.md)
5. /shavakan-commands:docs-save-context - Save context before compaction (context.md, tasks.md)
6. /shavakan-commands:docs-update - Update feature context and tasks
7. /shavakan-commands:cleanup - Full repository audit and cleanup
8. /shavakan-commands:cleanup-dead-code - Remove unused code
9. /shavakan-commands:cleanup-comments - Remove comment noise
10. /shavakan-commands:cleanup-docs - Sync documentation with code
11. /shavakan-commands:cleanup-architecture - Refactor code structure
12. /shavakan-commands:cleanup-deps - Clean up dependencies
13. /shavakan-commands:cleanup-duplication - Remove code duplication
14. /shavakan-commands:code-review - Iterative code review cycle with auto-fix

shavakan-agents

Specialized agents for code review and development workflows.

Agents:

1. code-reviewer - Reviews code changes for security vulnerabilities, correctness bugs, architecture violations, and hygiene issues. Use after completing significant code changes or before creating pull requests.

MCP Server Plugins

mcp-complex-projects

Task management, cognitive tools, and up-to-date documentation for complex project work.

Servers: taskmaster-ai, sequential-thinking, time, context7

/plugin install mcp-complex-projects@shavakan

mcp-infra

Infrastructure as code and package management with Terraform and NixOS.

Servers: terraform, nixos

/plugin install mcp-infra@shavakan

shavakan-mcp-github

GitHub repository, issue, and pull request management with PR review analysis.

Servers: github

Commands:

• /shavakan-mcp-github:pr-review-analyze - Analyze PR review comments and generate fix summary

/plugin install shavakan-mcp-github@shavakan

mcp-gdrive

Google Drive integration for file and document access.

Servers: gdrive

/plugin install mcp-gdrive@shavakan

mcp-notion

Notion workspace integration (HTTP-based, no API key needed).

Servers: notion

/plugin install mcp-notion@shavakan

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Skills (in shavakan-skills plugin)

git-commit

Create clean, technical git commit messages focused on code changes rather than project milestones.

Activates when: User requests git commit creation

Key features:

• No attribution footers or "Generated with Claude" messages
• Focus on technical modifications, not progress language
• 1-2 sentence messages describing code changes

prompt-engineer

Build, analyze, and optimize LLM prompts with brutal efficiency.

Activates when: User wants to create, modify, review, or improve prompts

Key features:

• Actionable analysis checklist with fixes
• Anti-patterns and validation process
• Model-specific guidance (Haiku/Sonnet/Opus)
• Token efficiency optimization
• Restricted to Read, Write, Edit, WebFetch tools only