Why this server?
Generates and reviews both AI prompts and reusable agent skills, making it a direct fit for the user’s dual need of prompt enhancement and skill suggestions based on their working task.
AlicenseNot gradedqualityBmaintenanceGenerate and review AI prompts and reusable agent skills, work with saved PromptDrive prompts, and retrieve permitted Memory context. Connect at https://prompeteer.ai/mcp using Streamable HTTP and OAuth 2.1. Tool access depends on granted scopes; review generated output before use.258 npm1MITWhy this server?
Intelligently matches tasks to skills through semantic embeddings, detects skill gaps, and discovers new skills, providing exactly the task-based skill suggestions requested.
AlicenseNot gradedqualityBmaintenanceEnables AI agents to intelligently match tasks to skills through semantic embeddings, track skill effectiveness, detect skill gaps, and discover new skills from external sources.Apache 2.0Why this server?
Provides context-aware skill selection for AI agents, reducing token usage and improving accuracy through semantic retrieval, session memory, and feedback learning—ideal for task-based skill suggestions.
AlicenseNot gradedqualityAmaintenanceProvides context-aware skill selection for AI agents, reducing token usage by 85-98% and improving accuracy through semantic retrieval, session memory, and feedback learning.1MITWhy this server?
Offers runtime skill discovery and automatic toolchain-based recommendations, suggesting relevant skills based on the current working environment and task.
AlicenseNot gradedqualityFmaintenanceProvides dynamic, context-aware code assistant skills through hybrid RAG (vector + knowledge graph), enabling runtime skill discovery, automatic toolchain-based recommendations, and on-demand loading from multiple git repositories.20MITWhy this server?
Optimizes and enhances prompts with domain-specific enhancements across fields like marketing, data analysis, and code generation, aligning with the working task context.
AlicenseNot gradedqualityCmaintenanceIntelligently optimizes and enhances user prompts before execution using pattern matching, domain-specific enhancements, and analytics tracking for consistent AI outputs across marketing, data analysis, tax/accounting, and code generation domains.8 npm2MITWhy this server?
Recognition of task type and interactive refinement enables automatic transformation of natural-language requests into structured, task-optimized prompts.
AlicenseBqualityDmaintenanceIntelligently engineers and optimizes prompts for Claude Code with automatic language detection, task type recognition, and interactive refinement capabilities. Works entirely offline without external API dependencies to transform natural language requests into structured, Claude Code-optimized prompts.412MITWhy this server?
Uses semantic search to find and adapt the best prompt template for specific user tasks and contexts, enhancing prompt quality based on the working task.
FlicenseNot gradedqualityDmaintenanceProvides AI-powered selection and generation of specialized system prompts from a database of over 66 templates for Claude Code. It uses semantic search to find the best matching template and can adapt it to fit specific user tasks and contexts.-Why this server?
Search, install, and manage AI agent skills with workspace analysis for personalized recommendations, supports 140+ pre-indexed skills—great for task-based skill suggestions.
AlicenseAqualityBmaintenanceSearch, install, and manage AI agent skills (SKILL.md files) from GitHub repositories. Features workspace analysis for personalized recommendations and supports 140+ pre-indexed skills.915 npm12Creative Commons Attribution Non Commercial Share Alike 4.0 InternationalWhy this server?
Selects top-K relevant expert cards from tool catalogs instead of loading every tool, reducing prompt size and improving tool selection for the current task.
AlicenseNot gradedqualityDmaintenanceSkillMesh is a retrieval router for MCP/LLM tool catalogs. It selects top-K relevant expert cards instead of loading every tool, reducing prompt size, by improving tool selection, and lowering token cost. Supports Claude MCP, Codex skills, and OpenAI-style function schemas.7MIT