Production-grade scaffold for reproducible computational research — 10-stage DAG pipelines, ≥90% test coverage, cryptographic provenance (SHA-256 + steganographic PDF watermarking), multi-project workspace, AI-agent-ready with AGENTS.md / SKILL.md throughout.

A privacy-first research-agent starter kit with source-first workflows, authorial voice gates, style fingerprint scans, skill receipts, self-review loops, KB setup, and GitHub-safe sharing.

Complete AI-assisted scientific research workflow — literature review, interactive citations, article writing, LaTeX export and presentation. Powered by Claude Code inside VS Code.

A complete DevOps framework for reproducible LaTeX research paper workflows with CI/CD, versioning, and standardized project structure.

An AI-assisted market research workflow for indie hackers and solo builders.

Template repository for Smart Mobility Lab research papers and datasets

A powerful and lightweight deep learning project template built on PyTorch Lightning. It accelerates your development by providing a standardized, convention-based framework, allowing you to focus on your core tasks.

Governance-ready, AI-aware healthcare research object template built with Quarto. Includes lifecycle structure, governance artefacts, and synthetic demonstration project.

Compact deep-learning research starter kit for brain functional network classification experiments.

Personal paper-centric empirical research project template

Batteries-included AI/ML research template for Claude Code — uv, ruff, pytest, MkDocs, LaTeX, AGENTS.md protocol

A structured template for data science and research projects that provides a clear separation between exploratory analysis and production pipelines. This template promotes reproducibility, organization, and collaborative development.

AI-assisted research workflow template for Codex: paper notes, idea pool, experiment logs, and reproducible research operations

Evidence-graph starter repo for autonomous AI research

Reusable template for medical research papers & ML projects