108 boosters for "lm" — AI-graded, open source, ready to install
Automates GitHub issue triage and fixing by fetching issues, spawning AI sub-agents to implement solutions, opening PRs, and handling review feedback—ideal for maintainers and teams managing large issue backlogs.
Heuristic scoring (no AI key configured).
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
A skill for adapting and optimizing Hugging Face or custom LLM models to run efficiently on vLLM with Ascend NPU support, enabling developers to validate and deploy models with deterministic testing and single-commit delivery.
A system prompt that guides LLMs to analyze Factorio game implementations and generate detailed natural language plans for achieving objectives. Useful for developers creating AI-driven game planning systems or educational tools.
A PHP SDK for building AI agents with structured outputs and multi-agent orchestration, enabling developers to decompose complex tasks into specialized subagents with isolated contexts and independent execution.
Automates downloading books from Anna's Archive and uploading them to Google NotebookLM for AI-powered document analysis. Useful for researchers and students who want to create searchable knowledge bases from books.
Persistent cross-session memory for Claude and AI agents. Self-host on Redis/Valkey, or use the managed cloud at recallmcp.com.
Dinox MCP Server enables Claude to understand images through advanced object detection, localization, and captioning by connecting to the DINO-X vision model. Developers building multimodal AI applications benefit from seamless integration of real-world visual perception into LLM workflows.
This booster provides best practice guidelines for Docker, npx, uv, and package publishing workflows, intended to standardize development processes in Windsurf environments. It benefits developers seeking consistent build and deployment practices across multiple tool ecosystems.
A Cursor IDE rule set that enforces consistent Rust coding standards, project structure, and architectural patterns for the LLML library. Developers working on LLML in Cursor will benefit from automated guidance on module organization, naming conventions, and API design.
Concurrent Sub-Agents is an agentic terminal application that enables multi-agent workflows by automatically executing independent sub-agent tool calls in parallel, reducing latency without requiring explicit concurrency logic from the LLM. Developers building complex AI agent systems on Claude will benefit from faster, more efficient agent coordination.
Widget MCP is an MCP server that enables LLMs to render interactive UI widgets within Claude Desktop and Claude Code environments. It's useful for developers building enhanced AI experiences with custom interfaces.
A comprehensive guide for developers adding new agents to Errata, a writing application. Useful for backend engineers extending LLM-powered features like character optimization and prose analysis.
A curated collection of Windsurf rules files that guide AI coding assistants in generating Helm charts following industry best practices, architecture patterns, and Kubernetes conventions. Developers using Codeium's Cascade or similar AI tools benefit by getting standardized, production-ready Helm chart scaffolding and configurations.
This skill automates downloading books from Anna's Archive and uploading them to Google NotebookLM for interactive AI-powered reading. It benefits researchers, students, and knowledge workers who want to quickly build searchable knowledge bases from downloaded books.
spec-gen automates the reverse-engineering of codebases into structured OpenSpec specifications through LLM-powered static analysis, enabling developers to maintain accurate, living documentation that reflects actual code behavior rather than intent.
A comprehensive tutorial chapter teaching developers how to build and deploy intelligent AI agents with tool use and automation capabilities in AnythingLLM. Ideal for engineers looking to add autonomous workflows and function-calling to their self-hosted RAG systems.
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.
ADHARA is an LLM system prompt that enables early detection of learning friction by analyzing behavioral metrics like mouse hesitation, attention, and task performance against age-appropriate baselines. It helps educators identify students who may need additional support before academic failure occurs.
Spotdb is an ephemeral data sandbox for AI workflows that provides secure, isolated database environments for agentic AI systems. It's useful for developers building AI agents and LLM applications that need safe data isolation and guardrails.
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.
rsmap enables AI assistants to efficiently search and understand Rust codebases through multi-layered LLM-friendly indexes, eliminating the need to scan source files directly. Developers working with large Rust projects benefit from faster code exploration and architectural understanding.
