ARRIVE Guideline Architect

Overview

AI-powered protocol design tool that creates publication-ready animal research protocols compliant with ARRIVE 2.0 guidelines (Animal Research: Reporting of In Vivo Experiments). Generates structured documentation for ethical review, transparent reporting, and reproducible science.

Key Capabilities:

• Protocol Generation: Complete ARRIVE 2.0 compliant study protocols
• Sample Size Calculator: Statistical power analysis with justification
• Compliance Checker: Validate existing protocols against ARRIVE standards
• Randomization Schemes: Generate and document allocation strategies
• Ethics Support: IACUC protocol templates and animal welfare documentation
• Reporting Templates: Manuscript preparation with required elements

When to Use

✅ Use this skill when:

• Designing new animal studies requiring ethical approval
• Preparing IACUC (Institutional Animal Care and Use Committee) applications
• Writing manuscripts for journals requiring ARRIVE compliance (PLOS, Nature, etc.)
• Validating existing protocols for transparency and completeness
• Training researchers on animal research best practices
• Planning multi-site studies requiring standardized protocols
• Reviewing protocols for grant applications

❌ Do NOT use when:

• Human clinical trials → Use clinical-protocol-designer
• In vitro studies (cell culture only) → No ARRIVE requirements apply
• Field studies on wild animals → Use specialized wildlife research guidelines
• Veterinary clinical cases → Use veterinary case report standards
• Systematic reviews/meta-analyses → Use PRISMA guidelines

Integration:

• Upstream: sample-size-power-calculator (statistical design)
• Downstream: iacuc-protocol-drafter (ethics submission), manuscript-prep-assistant (publication)

Core Capabilities

1. ARRIVE 2.0 Protocol Builder

Generate complete protocols covering all Essential 10 items:

from scripts.arrive_builder import ARRIVEBuilder

builder = ARRIVEBuilder()

# Generate full protocol
protocol = builder.generate_protocol(
    title="Efficacy of Compound X in Type 2 Diabetes Mouse Model",
    species="Mus musculus",
    strain="db/db",
    groups=[
        {"name": "Control", "n": 15, "treatment": "Vehicle"},
        {"name": "Low Dose", "n": 15, "treatment": "10 mg/kg"},
        {"name": "High Dose", "n": 15, "treatment": "50 mg/kg"}
    ],
    primary_endpoint="Fasting blood glucose reduction",
    duration_days=28
)

protocol.save("protocol.md")