57 boosters for "semantic" — open source, verified from GitHub, ready to install
"description": "Beacon — semantic code search for Claude Code", "repository": "https://github.com/sagarmk/Claude-Code-Beacon-Plugin", "homepage": "https://github.com/sagarmk/Claude-Code-Beacon-Plugin",
"name": "semantic-search", "description": "Search your local documents with natural language. Index folders of PDFs, Word docs, markdown, and more — then ask questions in English or German and get answers with source citations.", "name": "Omar Drljevic"
"name": "cc-skills", "version": "12.24.3", "description": "Claude Code Skills Marketplace: Meta-skills and foundational tools for Claude Code",
"version": "0.14.4", "description": "Persistent memory system for AI coding assistants. Captures decisions, learnings, and context from coding sessions and surfaces them when relevant.", "name": "Robert Allen",
Search academic papers via the Semantic Scholar API using a structured 4-phase workflow. Parse the user's intent and choose a search strategy: Write ONE Python script. Example:
RagCode MCP is a semantic code navigation tool that integrates RAG-powered code search into Windsurf and other IDEs, enabling developers to intelligently query and understand multi-language codebases using local LLMs. It's ideal for developers working with Laravel, Go, Python, and PHP who need fast, context-aware code exploration without leaving their IDE.
"name": "scaffolding", "description": "11 agents, 35 skills, 18 commands, 9 hooks — spec-driven multi-agent orchestration for Claude Code, with optional cross-device semantic memory.", "url": "https://github.com/komluk"
ICS is an interactive context file editor for Claude Code that provides templating, vim mode, and semantic analysis capabilities to help developers efficiently manage and organize project context. It benefits developers using Claude Code who need structured ways to maintain and edit context files for AI-assisted coding workflows.
An MCP server that integrates DBT Semantic Layer API capabilities into Claude, enabling developers to query semantic models and metrics directly from their AI assistant. This tool is valuable for analytics engineers and data teams using DBT who want to leverage AI for semantic layer exploration and insights.
An MCP server that enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, medRxiv, and Google Scholar. Ideal for researchers, students, and developers who need programmatic access to academic literature.
Automates semantic version tagging for Git repositories by analyzing conventional commits to determine appropriate version bumps (major/minor/patch). Useful for developers who want to maintain consistent versioning without manual calculation.
"name": "open-academic-paper-machine", "description": "Open Academic Paper Machine — Autonomous academic paper production system with idea evaluation gate and paper-vs-code audit. NEW in v6.4: /audit-paper command and audit-engine skill — static audit of a paper's empirical claims (datasets, models,
"name": "codealive", "description": "CodeAlive context engine for semantic code search and AI-powered codebase Q&A. Enables AI coding agents to understand entire codebases beyond just open files — search across all indexed repositories, trace cross-service dependencies, discover usage patterns, and
This skill enables Claude to search a user's local Zotero library and discover related papers via Semantic Scholar, ideal for researchers and academics managing literature collections. It requires a local Zotero instance and works exclusively in Claude Code environments.
Codeweaver enables AI agents to perform semantic code search across 166+ programming languages with offline capability and hybrid search—ideal for developers building code-aware automation and AI-driven development tools.
Codeweaver enables AI agents to perform semantic code search across 166+ languages with hybrid search capabilities, working offline for efficient code discovery and generation. Developers and AI automation engineers benefit from faster code retrieval and context-aware development workflows.
"name": "nexo-brain", "description": "Local cognitive runtime for Claude Code \u2014 persistent memory, overnight learning, doctor diagnostics, personal scripts, recovery-aware jobs, startup preflight, and optional dashboard/power helper.", "name": "NEXO Brain",
"name": "agent-pragma", "owner": { "name": "Peter Wilson" }, "description": "Pragma directives for AI coding agents — deterministic linting, semantic LLM validators, and multi-LLM advisory council for Go, Python, and TypeScript"
"name": "claude-memory-plugin", "description": "Persistent knowledge storage with semantic search, graph linking, and contextual gotcha injection", "name": "Gareth Williams",
"name": "rag-skills", "description": "Agent skills for RAG (Retrieval Augmented Generation): chunking strategies (sliding window, semantic, hierarchical), retrieval strategies (HyDE, CRAG, Self-RAG, Graph RAG, adaptive, multi-pass), vector database setup (Qdrant), data type handling (code, multimoda
Memory Bank MCP Server provides semantic code indexing and AI-powered codebase understanding for developers using Claude. It enables intelligent code exploration and context-aware assistance directly within Claude Desktop and Claude Code.
An MCP server that integrates Obsidian knowledge vaults with Claude, enabling AI-powered graph analysis, semantic search, and knowledge management across notes. Ideal for researchers, knowledge workers, and developers who want to leverage AI on their personal knowledge bases.
Second Brain MCP is a semantic search engine for your codebase that lets you find code by natural language queries (like "find the auth bug") instead of grep, using embeddings and local SQLite vector search. It's ideal for developers who want faster code navigation and context awareness across large projects.
cpp-pro is a C++ expert agent that helps developers write modern, idiomatic C++ code with RAII, smart pointers, templates, and performance optimization. It's essential for teams refactoring legacy C++ or building memory-safe, high-performance applications.
