Ai Research Pipeline

AI Research Pipeline

Open-source AI research skills for Claude Code and Codex-compatible workflows.

This repository packages the Vera AI research skill family for data diagnostics, model generation, interpretability checks, manuscript-section drafting, LaTeX-ready artifact assembly, and review checkpoints across text, structured/tabular, and image research projects.

Vera structures the execution layer. Researchers own the question, scientific interpretation, and submission decisions.

Skill Inventory

Reviewing Skills

Skill	Modality	Role
vera-ai-image-reviewing	Image	Review inputs, diagnostics, baseline evidence, reporting constraints, and analysis readiness.
vera-ai-nlp-reviewing	NLP	Review inputs, diagnostics, baseline evidence, reporting constraints, and analysis readiness.
vera-ai-structured-reviewing	Structured	Review inputs, diagnostics, baseline evidence, reporting constraints, and analysis readiness.

Generating Skills

Skill	Modality	Role
vera-ai-image-generating	Image	Run candidate model workflows and generate methods/results artifacts with traceable outputs.
vera-ai-nlp-generating	NLP	Run candidate model workflows and generate methods/results artifacts with traceable outputs.
vera-ai-structured-generating	Structured	Run candidate model workflows and generate methods/results artifacts with traceable outputs.

Pipeline Skills

Skill	Workflow	Role
vera-ai-application-pipelining	Application	Coordinate multi-step research execution, artifact assembly, and review checkpoints.
vera-ai-methodology-pipelining	Methodology	Coordinate multi-step research execution, artifact assembly, and review checkpoints.

Install

Clone the repository:

git clone https://github.com/VeraSuperHub/ai-research-pipeline.git

Claude Code users can import `vera-ai-research.plugin` with the Claude Code plugin