Bridging AI and Scientific Curation
AI4Curation is pioneering the integration of artificial intelligence into scientific curation workflows, with a focus on ontology development, biomedical knowledge curation, and gene annotation. Our tools and frameworks help researchers leverage AI assistants like Claude Code to streamline complex curation tasks while maintaining scientific rigor and accuracy.
Documentation
Comprehensive guides for AI-assisted curation workflows
Ontology Tools
AI-powered ontology development and annotation
Skills & Templates
Reusable AI skills for curation tasks
GitHub Integration
Seamless AI workflows in your repositories
Featured Projects
aidocs ⭐ Featured
The central documentation hub for AI-assisted curation. Comprehensive guides, tutorials, and best practices for using AI tools like Claude Code, Codex CLI, and GitHub Copilot in your scientific workflows. Includes setup instructions, how-tos, and reference materials.
View Repository →odk-ai
Docker container extending the Ontology Development Kit (ODK) with AI coding capabilities. Enables Claude Code and similar tools to work seamlessly with ontologies, ROBOT, and other OBO tools. Run interactively or in headless mode for automated workflows.
View Repository →curation-skills
Collection of Claude skills for curation and knowledge-based tasks. These reusable skills help AI assistants understand domain-specific workflows, ontology best practices, and biocuration standards. Currently includes 3 skills with plans to expand.
View Repository →ai-gene-review
Demonstration project showcasing AI-powered review of existing functional gene annotations. Explores how AI can assist in validating, enhancing, and maintaining gene annotation databases with scientific rigor.
View Repository →github-ai-integrations
Copier template for adding AI integrations to any GitHub repository. Quick-start your project with pre-configured AI workflows, GitHub Actions, and integration patterns. Perfect for teams adopting AI-assisted development.
View Repository →metacoder
Unified wrapper for multiple AI coding assistants including Goose, Claude Code, and Codex. Provides a consistent interface across different AI tools, making it easier to experiment and choose the right tool for your workflow.
View Repository →owl-mcp
Model Context Protocol (MCP) server for OWL ontology applications. Enables AI assistants to interact with Web Ontology Language (OWL) files and perform ontology operations through standardized protocols.
View Repository →goose-ai-linkml-action
GitHub Action that triggers the Goose AI agent for LinkML schema operations. Automate schema validation, documentation generation, and model transformations directly in your CI/CD pipeline.
View Repository →Ready to Transform Your Curation Workflow?
Join the growing community of researchers using AI to accelerate scientific curation