54 skills found · Page 1 of 2
ModelEngine-Group / NexentNexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
apache / Incubator Kie OptaplannerAI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
Varietyz / Disciplined AI Software DevelopmentA disciplined methodology for AI-assisted software development. Covers architectural constraints, validation hooks, session governance, and PAG (Pattern Abstract Grammar) for structured AI collaboration. Copy claude-setup/ into your project to start.
optapy / OptapyOptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
akitaonrails / AI JailMulti-OS sandbox to run AI agents with better constraints (it is not 100% secure, but enough)
rhino-acoustic / NeuronFSmkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI — ₩0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.
mirseo / JSiliconJSilicon: A dual-mode 8-bit CPU core designed entirely from scratch by an AI major during mandatory military service in South Korea. This open-source Verilog project proves that real silicon design — from ALU to CPU architecture — is possible even under the most extreme constraints.
mmTheBest / How To Build An AI ProductA practical guide to building AI products end-to-end. You'll learn how to choose models based on product constraints, decide when fine-tuning is worth it, evaluate with real metrics, and build an agent that works in production. This project is in progress; chapters and code will land in stages.
GlobalSushrut / MCP ZeroProduction-grade AI agent infrastructure with resource constraints, ethical governance, and cryptographic integrity (private implementation code)
TimefoldAI / Timefold Solver PythonTimefold Solver is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more planning problems.
xwtro0tk1t-cloud / HarnessHarness is an AI Agent development guardrail Meta-Skill that establishes four layers of defense for any project in one command: knowledge management, architecture constraints, feedback loops, and entropy management.
andrewhopper / HivemindA knowledge management system that provides AI coding tools with memory and constraints for libraries, patterns, and development standards.
noahatfin / TelosAgent-first intent and constraint tracking layer for Git. Structured, queryable memory for AI coding agents.
AvantMaker / ESP32 AI ConnectESP32_AI_Connect is an Arduino library that enables seamless integration between ESP32 and leading AI APIs (OpenAI, Gemini, Anthropic Claude, etc.). Designed for IoT projects, it provides a unified interface for AI-powered applications while optimizing for ESP32's memory constraints. Easily add AI to your ESP32 projects with just a few lines.
ihlamury / Design SkillsOpinionated UI constraints extracted from the best design systems. Use with AI agents to build pixel-accurate interfaces.
aflock-ai / AflockCryptographically signed policies for AI agent execution constraints
sgroy10 / SpeclockAI Constraint Engine — enforces CLAUDE.md, .cursorrules, AGENTS.md rules as laws. 51 MCP tools, 991 tests. Official MCP Registry. npx speclock protect
shreyavaidya2311 / Timetable GeneratorTime Table Generator is a dynamic system that schedules the slots and the teachers for a particular subject and day according to given constraints by the user. This project has been built as a part of the course project for AI.
z-aqib / Floor Plan Generator Using AIWelcome to your innovation! This is a floor plan generator - a floor plan at your fingertips. All floor plans are created using Artificial Intelligence - By CSP (Constraint Satisfaction Problem Tree). The backend (AI) is coded in Python and the frontend is coded in Java - they are merged by Jython.
larbi1512 / Intro To AI Projectthis project combines various AI algorithms to provide visualization and functionality for search algorithms, a game (CONNECT4) using min-max algorithms, and a Constraint Satisfaction Problem (CSP) solver. This toolbox aims to provide a comprehensive understanding of these AI techniques through interactive visualizations and practical examples.
