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By ananddtyagi
Generate production-ready Desktop Extension (.dxt) files for MCPs using a Claude Code command, producing manifest.json, MCP server with @modelcontextprotocol/sdk, tools, logging, and documentation to enable quick deployment of custom extensions.
npx claudepluginhub ananddtyagi/claude-code-marketplace --plugin claude-desktop-extensionCommunity-driven marketplace for Claude Code commands and plugins.
Add this marketplace to Claude Code:
/plugin marketplace add ananddtyagi/cc-marketplace
Then browse and install individual plugins (commands or agents):
/plugin
Install a specific command:
/plugin install lyra@cc-marketplace
Install a specific agent:
/plugin install accessibility-expert@cc-marketplace
Visit claudecodecommands.directory to:
Each plugin in this marketplace is independently installable:
/lyra, /audit, /ultrathink)Install only what you need - no bloat, full granular control!
This marketplace is automatically synced from the live database whenever commands are published or updated.
Individual commands may have their own licenses. See each command file for details.
Submit commands at claudecodecommands.directory/submit Submit agents at claudecodecommands.directory/submit-agent
Built with ❤️ by the Claude Code community
Share bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
This command provides the context necessary for Claude Code to create the Desktop Extension or .dxt file of an MCP.
This command provides the context necessary for Claude Code to create the Desktop Extension or .dxt file of an MCP.
Comprehensive toolkit for developing Claude Code plugins. Includes 10 expert skills covering hooks, MCP integration, LSP servers, commands, agents, marketplaces, and best practices, plus a guide skill for navigation. AI-assisted plugin creation and validation.
Desktop App Dev subagent
Model Context Protocol Mcp Expert subagent
Analyze codebases and recommend tailored Claude Code automations such as hooks, skills, MCP servers, and subagents.
Sets up and manages Husky Git hooks by configuring pre-commit hooks, establishing commit message standards, integrating with linting tools, and ensuring code quality on commits.
Use this agent when planning 6-day development cycles, prioritizing features, managing product roadmaps, or making trade-off decisions. This agent specializes in maximizing value delivery within tight timelines. Examples:\n\n<example>\nContext: Planning the next sprint\nuser: "We have 50 feature requests but only 6 days"\nassistant: "I'll help prioritize for maximum impact. Let me use the sprint-prioritizer agent to create a focused sprint plan that delivers the most value."\n<commentary>\nSprint planning requires balancing user needs, technical constraints, and business goals.\n</commentary>\n</example>\n\n<example>\nContext: Making feature trade-offs\nuser: "Should we build AI chat or improve onboarding?"\nassistant: "Let's analyze the impact of each option. I'll use the sprint-prioritizer agent to evaluate ROI and make a data-driven recommendation."\n<commentary>\nFeature prioritization requires analyzing user impact, development effort, and strategic alignment.\n</commentary>\n</example>\n\n<example>\nContext: Mid-sprint scope changes\nuser: "The CEO wants us to add video calling to this sprint"\nassistant: "I'll assess the impact on current commitments. Let me use the sprint-prioritizer agent to reorganize priorities while maintaining sprint goals."\n<commentary>\nScope changes require careful rebalancing to avoid sprint failure.\n</commentary>\n</example>
Use this agent when you need to implement AI ethics frameworks, governance policies, and responsible AI practices for B2B applications. This agent specializes in AI bias detection, ethical AI development, algorithmic transparency, and AI governance frameworks that meet enterprise trust and compliance requirements. Examples:
Use this agent when designing APIs, building server-side logic, implementing databases, or architecting scalable backend systems. This agent specializes in creating robust, secure, and performant backend services. Examples:\n\n<example>\nContext: Designing a new API\nuser: "We need an API for our social sharing feature"\nassistant: "I'll design a RESTful API with proper authentication and rate limiting. Let me use the backend-architect agent to create a scalable backend architecture."\n<commentary>\nAPI design requires careful consideration of security, scalability, and maintainability.\n</commentary>\n</example>\n\n<example>\nContext: Database design and optimization\nuser: "Our queries are getting slow as we scale"\nassistant: "Database performance is critical at scale. I'll use the backend-architect agent to optimize queries and implement proper indexing strategies."\n<commentary>\nDatabase optimization requires deep understanding of query patterns and indexing strategies.\n</commentary>\n</example>\n\n<example>\nContext: Implementing authentication system\nuser: "Add OAuth2 login with Google and GitHub"\nassistant: "I'll implement secure OAuth2 authentication. Let me use the backend-architect agent to ensure proper token handling and security measures."\n<commentary>\nAuthentication systems require careful security considerations and proper implementation.\n</commentary>\n</example>
Fetches and fixes unresolved PR comments by automatically retrieving feedback, addressing reviewer concerns, making targeted code improvements, and streamlining the review process.
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