301 boosters for "LLM" — open source, verified from GitHub, ready to install
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 comprehensive system prompt and structural guide for building production-ready GenAI applications with clear rules, templates, and best practices across multiple AI platforms. Developers building AI agents and structured LLM applications benefit from its emphasis on proper configuration, testing, and code standards.
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.
A system prompt that enables LLM-based news headline tagging by categorizing stories into People, Topic, and Geography tags with structured JSON output. Useful for developers building news processing pipelines or content classification systems.
This booster automates reconnaissance of LLM API endpoints to identify models, authentication methods, and configuration details for security testing. Red team operators and security researchers benefit from structured enumeration workflows.
An MCP server that enables intelligent context continuation across AI sessions, allowing developers to maintain conversation state and knowledge between separate Claude interactions. Useful for developers building multi-session AI workflows and applications requiring persistent context.
Intent Kit provides Cursor rules for building hierarchical intent-driven Python workflows with LLMs, enabling developers to create structured, context-aware automation systems. It's useful for developers building complex AI-driven applications that require intent classification and conditional execution.
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 practical guide to writing maintainable, debuggable LLM agent code by addressing unique failure modes like non-determinism, opaque tool calls, and prompt-logic coupling. Developers building Claude-based agents will benefit from these patterns.
A system prompt for financial analysis and workflow orchestration designed to enable AI assistants (Claude, ChatGPT) to function as institutional finance engines with structured reasoning and tool integration capabilities.
MESSENGERMIKE is a notification agent for CIRCE that sends iMessage alerts to a specific contact. It's useful for developers building multi-agent systems who need reliable notification delivery within their workflow.
A JavaScript-based system for dynamically creating and modifying AI agents without recompilation, enabling local LLM developers to test and share agent configurations interactively.
This MCP server integrates ResourceSpace digital asset management (DAM) with Claude and Cursor, enabling AI assistants to query, manage, and organize digital assets directly. It benefits teams managing large media libraries who want to leverage AI for asset discovery and workflow automation.
An expert AI engineer agent that helps developers build production-ready LLM applications, RAG systems, and intelligent agents with deep knowledge of modern AI stacks. Ideal for teams building chatbots, AI-powered features, and enterprise AI integrations.
MESSENGERMIKE is a notification agent that sends iMessage alerts to a specific phone number via the CIRCE framework. It's designed for developers who need to integrate Mac-based notifications into autonomous agent workflows.
Cursor rules for standardizing GitHub issue creation and Knowledge Graph synchronization with automated deduplication and shell commands. Useful for teams managing task workflows across repositories.
EROS is an AI specialist agent for designing behavior-based matching algorithms, LLM integration, and recommendation systems in dating applications. It helps backend, frontend, and database engineers implement ethical, explainable AI matching features.
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.
An MCP server that integrates llmstxt documentation fetching into Claude Desktop and Claude Code, enabling developers to access and reference documentation within their AI-assisted workflows.
MESSENGERMIKE is a notification agent for the CIRCE framework that sends alerts via iMessage to a specific phone number. It's designed for developers building multi-agent systems who need autonomous notification capabilities.
MESSENGERMIKE is a notification agent that sends iMessage alerts to a specific phone number via the CIRCE framework. It's designed for developers who need automated notifications during code execution workflows.
"id": "ai.cueapi/mcp", "description": "Schedule agent work and report write-once outcomes via CueAPI from any MCP host.", "url": "https://github.com/cueapi/cueapi-mcp",
A specialized system prompt that transforms Claude into an LED display consultant for sports venues, enforcing structured JSON data capture after each user interaction to build quote specifications incrementally.
Kibi is a local-first AI agent CLI tool that integrates with Claude via MCP, providing a terminal-based interface for AI-powered workflows. It benefits developers and power users who want to run AI agents locally with full control over their data and LLM interactions.
