dr-cook

What problem does it solve?

Dr. Cook is a modular AI skill suite for academic researchers. It orchestrates end-to-end research tasks—ranging from literature review and gap analysis to manuscript writing, peer review, and bioinformatics analysis—without requiring users to re-enter context between steps. By loading SKILL.md frontmatter instructions and domain-specific references, it enables reproducible pipelines in bilingual English/Chinese contexts.

Core Features & Use Cases

• 16 independent modules that can run standalone or be chained into pipelines.
• A central router class that classifies intent and loads the correct module automatically.
• A standardized context_output data contract that preserves context across modules, so users don’t have to paste content repeatedly.
• Preset pipelines for common workflows (grant writing, manuscript submission, reviews) and free-form custom module sequences.
• Domain-aware defaults and bilingual support for English/Chinese input.
• Direct module invocation (dr-cook:<module>) to bypass the router when needed.
• Easy installation: clone into Claude Code skills directory and start using immediately.

Quick Start

1. Clone the repository into Claude Code’s skills directory.
2. Use the top-level command dr-cook to see available modules and pipelines, or invoke a specific module like dr-cook:paper-writer.