14 boosters for "llama" — AI-graded, open source, ready to install
An AI-powered VSCode extension that auto-generates standardized Git/SVN commit messages using multiple AI services (OpenAI, ChatGPT, Ollama, Gemini, etc.) with multi-language support and weekly report generation. Developers working with Git/SVN in VSCode benefit from faster, consistent commit workflows.
Heuristic scoring (no AI key configured).
VT.ai provides Copilot-specific coding instructions for a multimodal AI chat application, establishing standards for Python development including naming conventions, style guides, and testing practices. Developers building AI-powered features with language models will benefit from these standardized guidelines.
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.
Transforms rough prompts into production-ready LLM prompts using advanced techniques like Chain-of-Thought and RAG optimization. Ideal for developers, AI engineers, and teams building LLM applications who need to craft effective prompts across Claude, GPT, Llama, and other models.
A Self-Modifying Multi-Agent Cognitition Architecture with Proactive Background Reflection (SMMAC-PBR)
Geist provides Cursor-integrated coding rules and best practices for Python, SQLAlchemy, logging, and server development using FastAPI and LLM models. It helps developers maintain consistent code standards and proper patterns when building AI-powered applications.
AI-powered code auditing via MCP using local Ollama models for security, performance, and quality analysis
vala based gtk & terminal based desktop Ollama chat with tools - designed for local LLM work
This document explains how to use the AI agent features in Caption Extractor, which enhance OCR processing with visual LLM models using local Ollama.
Kryptoskatt MCP Server enables AI assistants to query DeFi data from DefiLlama API through standard MCP protocol. It's useful for developers and analysts building AI applications that need real-time blockchain and DeFi information.
A comprehensive system prompt and .cursorrules template for building a manufacturing defect detection MVP in Cursor AI, providing structured guidance on FastAPI backend, React frontend, and LLaVA vision model integration.
Comprehensive Copilot instructions for a bidirectional AI canvas application integrating Next.js frontend, LlamaIndex backend, and Google Sheets via Composio. Developers building real-time collaborative AI interfaces with state synchronization will find this immediately actionable.
A template and guidance document for customizing system prompts for hackathon presentation automation, particularly for integrating with demo tools and avatar systems. Useful for hackathon organizers and participants building AI-powered presentation systems.
