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.
Requirement management Skill for one human-readable, AI-coding-ready baseline: intake, clarification, PRD/prototype contracts, change, traceability, and acceptance for ToC/ToB/ToG.
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.
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.
Domain knowledge bridging energy engineering with ML/data science for residential heating optimization, developed with Take AI Bite (German standards, DIN/VDI/GEG)
Offline-first, single-file 3D knowledge system. Maps facts onto six colour-coded lenses (Fact, Counter, Opinion, Fiction, Context, Unknown). Cubes attract, cluster, and split based on keyword similarity. Includes gravity simulation, confidence scoring, timeline scrub, search, light/dark themes. No server, no dependencies.
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