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    Enables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.
    14 npm
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    MIT
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    Enables two-model orchestration where Gemini in Google Antigravity delegates coding tasks to Qwen 3.8 Max in Qwen Studio Desktop via CDP, managing prompt delivery, file generation, continuation, and verification.
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    MIT
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    Enables ChatGPT Developer Mode to operate as a local coding agent by connecting to your own repository through MCP, allowing it to read, write, search, edit files, run safe verification commands, and manage handoff context for continued work.
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    122 npm
    MIT
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    MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.
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    95 npm
    24
    MIT
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    Provides access to the Superpowers skills library - expert-crafted workflows and best practices that guide AI assistants through proven techniques for coding tasks. Supports both community skills and custom personal skills.
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    256 npm
    4
    MIT
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    Enables coding agents like Cursor to access Figma design data, fetch layout and styling information, and implement designs in any framework.
    162,432 npm
    MIT
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    Enables AI clients to coordinate coding agents on the user’s own computers and servers over MCP, connecting to Herdr, Codex app-server, and experimental ZCode/Amp connectors through a self-hosted relay without inbound ports.
    Apache 2.0
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    A Rust + Tauri 2 desktop application that turns local project folders into persistent MCP workspaces, enabling AI agents to read files, modify code, run commands and tests, check Git status, and maintain cross-conversation development context through historical checkpoints, with built-in WSS/FRP/Cloudflare tunnels and OAuth for connecting to ChatGPT.
    Apache 2.0
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    Read, inspect and navigate codebase symbols by connecting to a Language Server
    93 npm
    5
    MIT
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    An MCP server giving coding agents context-window-aware code search and safe, atomic multi-file edits — built to cut token usage on large codebases without sacrificing correctness.
    3
    56 npm
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    MIT
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    Enables structured, step-by-step problem-solving through dynamic thinking processes that can be revised, branched, and adjusted as understanding deepens. Supports breaking down complex problems into manageable steps with the ability to revise previous thoughts and explore alternative reasoning paths.
    1
    190,432 npm
    MIT
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    Enables LLMs to apply Martin Fowler's 71+ refactoring patterns to codebases through a pluggable, language-agnostic architecture. Supports previewing and applying refactorings, analyzing code smells, and inspecting code structure with safe-by-default operations.
    5
    23 PyPI
    5
    MIT
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    Provide a human vision statement. The AI autonomously researches, audits your codebase, generates specs and plans, implements, and validates — with bi-directional verification at every junction to ensure nothing is missed or invented.
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    Enables AI coding agents to retrieve relevant execution context before a task, compare candidate paths, log outcomes, and search past experiences stored locally in SQLite. It lets agents reuse what worked on similar tasks and get live alerts when a run stagnates or repeats failures.
    14
    58 PyPI
    3
    MIT