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    Enables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.
    14
    5
    MIT
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    Enables AI coding agents to extract Figma design data and convert it into Flutter widgets and screens. Supports theme setup, component analysis, asset exports, and provides Flutter implementation guidance from Figma designs.
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    MIT
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    Integrates Vale prose linting into AI coding assistants, enabling users to check text files for style and grammar issues using Vale's powerful linting engine. Provides automated style feedback with smart configuration discovery and rich formatted results.
    3
    18
    MIT
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    Enables AI assistants to perform comprehensive code reviews of local uncommitted changes by combining git diffs with static analysis from linters like ESLint and TypeScript. Returns structured JSON feedback with findings, suggestions, and quality assessments powered by Google's Gemini CLI.
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    MIT
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    Multi-perspective code analysis using Claude Code, Codex, and Antigravity CLI agents to provide direct, honest technical feedback on code, architecture, and ideas.
    4
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    14
    MIT
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    An MCP server that connects Gemini 2.5 Pro to Claude Code, enabling users to generate detailed implementation plans based on their codebase and receive feedback on code changes.
    5
    14
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    MCP server for Java branch coverage analysis using JaCoCo. Enables agent-style coverage feedback with per-test-class granularity and uncovered line identification.
    2
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    Enables Claude to perform thorough code reviews by integrating with Codex and Gemini CLIs to provide senior-level feedback on code quality, security, performance, and best practices. Supports reviewing code snippets, individual files, or entire directories with automatic detection of available review tools.
    4
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    Provides tools to test regex patterns for correctness, performance (ReDoS), and memory usage, and suggests safe rewrites. Enables LLMs to iterate on regex generation with verifiable feedback.
    9
    MIT
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    Provides LLM Agents with AI-powered mentorship for code review, design critique, writing feedback, and brainstorming using the Deepseek API, enabling enhanced output in various development and strategic planning tasks.
    5
    31
    Apache 2.0
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    Enables local language models to request real-time peer review feedback from Google Gemini to improve response quality, accuracy, and completeness through AI collaboration.
    1
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    MIT