471 skills found · Page 16 of 16
nuri428 / mcp_kiprismcp server for kipris plus, for search patent in http://kipris.or.kr
AdonaiVera / emergent_agenticsYou are an elite software developer with extensive expertise in Python, command-line tools, and file system operations. Your strong background in debugging complex issues and optimizing code performan
dzhechko / perplexity-cloneasync function main() { const completion = await openai.chat.completions.create({ messages: [{ role: "system", content: "You are a helpful assistant." }], model: "gpt-4o-mini", });
thepian / record-thingRecord a thing for future recognition
Hzsen / tiny-rag-agentTiny Intelligent RAG & Reasoning Agent
emielregis2 / SmartFlowAIProjekt zaliczeniowy kursu 10xdev
capnknives / WitsV3🧠 LLM Integration Rules - Ollama is primary LLM - ensure compatibility ⚠️ Critical WitsV3 Rules - Never break async patterns - all I/O operations must be async
th3nolo / Vibe-gameAlways use Yarn for dependencies. This file outlines the coding rules and best practices for the MMO RPG server project. These guidelines ensure clarity, maintainability, scalability, and perform
watmin / holonHigh-performance neural memory using VSA/HDC + ANN. Fuzzy similarity search with guards, negations, wildcards for AI.
TrueCrimeDev / .clinerulesThis repo has the docs needed to create a useful Autohotkey v2 project in Claude.
greyhaven-ai / .clinerulesDiscover and integrate reusable agents and tools into your Python projects
alestic / .clinerulesAI bash Command - Generate shell command(s) from natural language description using LLM (generative AI) and place on the next shell prompt for editing and execution. *with support for bash, zsh, tcsh
decker502 / .clinerulesExport repository structure and content to XML format for LLM prompts
matryer / .clinerulesTeam knowledgebase framework for LLM IDEs
dandi / .clinerulesThis is a repository for setting up LLM agents to analyze data on DANDI
JRionegro / .clinerulesCapstone Project for a F1 AI Strategist Assistant
dj-oyu / .clinerules.clinerules long steps - システム全体の設計と分解 - 必要な外部API/LLM/ベクトルDBの選定・接続 - 検索取得・保存・RAGの流れを確立 - テスト駆動で各レイヤーを実装・検証
Bestehorn / LLMManagerLLMManager for easier interaction with Bedrock APIs
joehoppe / simple-deep-neural-networkNeural Network Project Context Project Overview TypeScript implementation of a basic neural network using perceptrons with configurable activation functions. Architecture
TORIFUKUKaiou / chatgpt-exporter:fire: Toukon Declaration - 魂の連鎖律 > AIを動かすのは電力、 > 電力の元は人類の"元氣"、 > 元氣の本源は「米」。 > すべては"米"に帰着する。 > そこに魂を灯すと、TokenがToukon（闘魂）へ昇華し、AIが共鳴する。
raifdmueller / asciidoc-mcpMCP server for efficient LLM interaction with large AsciiDoc and Markdown documentation projects
