domain-knowledge

The missing, complete example of Domain-Driven Design enterprise application backed by Spring stack

OpenSSA: Small Specialist Agents based on Domain-Aware Neurosymbolic Agent (DANA) architecture for industrial problem-solving

GPTuner is a manual-reading database tuning system leveraging domain knowlege automatically and extensively to enhance knob tuning process.

Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]

The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).

Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.

AI Agent Skill for product discovery, requirements engineering, PRDs, and interactive prototypes. 帮助产品经理、业务分析师、研发与测试团队澄清需求、生成可交付的 PRD 与原型，实现需求变更管理、全链路追踪与验收，并支持 AI Coding Agents 协作。

Build a medical knowledge graph based on Unified Language Medical System (UMLS)

Turn long AI conversations into reusable domain knowledge across sessions

Local MCP server that captures the why behind your code — domain knowledge for Claude, Cursor, Copilot, and any MCP agent.

LoCoMotif-DoK is a time series motif discovery method that leverages domain knowledge represented by hard and soft constraints. It discovers variable-length motif sets in a multivariate time series using time warping.

SLMs for domain-related Text-to-SQL tasks

Framework for promoting project events into domain knowledge and cross-domain transferable principles.

垂直领域知识工程化的现场样本：把专家判断沉淀成带来源、带红线、可审计、可复用的知识资产。治理骨架与具体行业解耦——同一套方法可平移到任何垂直领域。

OpenSpec workflow skills extended with a domain knowledge layer — structured, file-based domain KB that gives every skill a shared vocabulary to reason from

The Knowledge Core is a client application (web-site) for domain knowledge modelling and rule-based knowledge base prototyping.

Code implementation of our paper "Exploring Domain-specific Contrastive Learning with Consistency Regularization for Semi-supervised Medical Image Segmentation "

Agent skill that adds one useful, practical detail about the domain you're already working in, every few replies.

A field guide to software across 72 industries - what the work involves, what makes it hard, and how it plays out in India.

Reproducibility package for "How much is construction monotonicity worth?" (IJIES) — rigid versus learnable sequence priors for image-based construction progress recognition.