86 boosters for "language" — open source, verified from GitHub, ready to install
DynamicEndpoints Autogen_mcp enables creation and management of collaborative AI agents that solve problems through natural language interaction. Developers and AI teams benefit from orchestrating multi-agent workflows across Claude Desktop, Claude Code, and Cursor.
Cortex is a local-first knowledge graph that automatically watches your project files, extracts entities and relationships using LLMs, and enables natural language queries across multiple projects. It's ideal for developers who need intelligent cross-project search and knowledge management without relying on external services.
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "XiaoConstantine", "email": "constantine124@gmail.com"
Heuristic scoring (no AI key configured).
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.
"name": "translate-pdf", "description": "Translate PDF documents to any language while preserving original structure, layout, and styling", "repository": "https://github.com/wshuyi/translate-pdf-skill",
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.
A Korean-language code review guide for the Trade Safety project, providing development standards for a K-pop merchandise trading safety analysis tool. Developers building scam-detection features for international fan communities would benefit from its architectural and code quality guidelines.
ArmBench-LLM is a system prompt for benchmarking large language models using Armenian character-to-numeric matching tasks. It's designed for developers evaluating LLM performance across multiple coding platforms.
ArmBench-LLM is a system prompt framework for evaluating large language models on Armenian language tasks through structured multiple-choice questions. It's designed for developers and AI researchers who need standardized benchmarking tools across popular coding assistants and chat platforms.
Authoritative reference for the Roc programming language that helps Claude read, write, debug, and analyze Roc code with current compiler accuracy. Essential for developers working with Roc who need reliable, up-to-date syntax and API guidance.
A Cursor rules booster that enables developers to build iOS apps for translating burned-in video subtitles using Vision OCR and Apple's translation API. Useful for developers working with multilingual video content and social media platforms like RedNote.
"name": "Chris von Csefalvay", "email": "chris@chrisvoncsefalvay.com" "description": "Claude Code skills marketplace for fine-tuning language models with Unsloth",
An AI-powered code reviewer that identifies quality issues, security vulnerabilities, and optimization opportunities across multiple programming languages. Developers use it to enforce best practices, reduce technical debt, and maintain high code standards automatically.
A specialized agent for Node.js backend development with pure JavaScript, focusing on modern ES2024 patterns, async optimization, and runtime performance. Ideal for developers building high-performance APIs and services without TypeScript.
PrismBench enables developers to create specialized LLM agents through YAML configuration for comprehensive benchmarking and evaluation of language model capabilities. Teams building AI evaluation systems and ML testing pipelines benefit from its systematic Monte Carlo Tree Search approach and containerized deployment.
PrismBench enables developers to create specialized LLM agents through YAML configuration for systematic evaluation of model capabilities using Monte Carlo Tree Search. Useful for ML engineers, researchers, and teams building production LLM systems who need comprehensive benchmarking and evaluation frameworks.
gllm is a system prompt that transforms LLMs into code-first orchestrators for efficient task processing, enabling developers to handle large files and complex workflows through programmatic verification rather than context-heavy text generation.
A Model Context Protocol server that brings comprehensive Zig language intelligence to Claude, including diagnostics, code completion, and go-to-definition via ZLS. Ideal for Zig developers using Claude Code who need IDE-like features for the Zig language.
Teaches Claude when to use gabb_structure and gabb_symbol tools for efficient code exploration and navigation in supported languages. Developers working with large codebases benefit from optimized search strategies that reduce unnecessary file reads.
Aura is a system prompt that instructs Claude to write code as an expert Lx compiler interface, enforcing LLM-friendly language rules like exhaustiveness, no loops, and explicit effects. It benefits developers learning or writing Lx code who need consistent, compiler-compatible output from Claude.
Mcp Tool Factory generates MCP servers from natural language, OpenAPI specs, databases, GraphQL, and ontologies, supporting 10+ LLM providers. Developers building AI agents and tool ecosystems benefit from automated server generation without manual boilerplate.
A Cursor-specific ruleset that enforces Python development standards using uv for package management and Pydantic v2, designed to ensure consistent tooling practices across AI-assisted coding workflows.
This MCP server enables developers to query and manipulate local databases using natural language instead of writing SQL, bridging the gap between conversational AI and database operations. It's useful for developers who want to integrate natural language database interactions into Claude-powered applications.