AI4Scientist
Official@ai4scientist · Canada
AI4Scientist is an organization advancing autonomous, end-to-end AI-driven scientific discovery.
Agent Skills by AI4Scientist
Showing 12 vetted skills indexed across 1 GitHub repositories.
AI4Scientistexperiment-pipeline
Coordinate four-stage research experiments with budgets and diagnostic gates.
AI4Scientiststudy-workflow
Generate a two-lane Research and Writing workflow diagram from a study draft.
AI4Scientistpaper-planning
Plan academic papers with a four-step workflow covering story, experiments, figures, and timeline.
AI4Scientistpaper-review
Assists in self-reviewing academic paper drafts with structured checklists and feedback.
AI4Scientistpaper-navigator
Search academic papers across Semantic Scholar, arXiv, GitHub, and HuggingFace.
AI4Scientistevo-memory
Retrieve top-k entries from ideation and experimentation memory stores using cosine similarity.
AI4Scientistresearch-survey
Generate taxonomy-based literature survey reports from collected papers.
AI4Scientistexperiment-iterative-coder
Automates iterative code refinement with ruff linting and pytest testing.
AI4Scientistpaper-rebuttal
Diagnose peer-review feedback and structure a targeted author rebuttal.
AI4Scientistresearch-ideation
Orchestrate research ideation from goal definition to top-3 directions.
AI4Scientistexperiment-craft
Diagnose and iterate on experiments with a five-step debugging workflow and structured logs.
AI4Scientistpaper-writing
Draft academic paper sections using an 11-step process with LaTeX templates.
Frequently Asked Questions About AI4Scientist
FAQPage SchemaWhat specific research tasks are supported by these capabilities?▼
These capabilities support end-to-end research tasks including literature discovery across arXiv and Semantic Scholar, iterative experimental debugging, structured academic paper drafting using LaTeX, and the generation of formal peer-review rebuttals based on diagnostic feedback.
Who is the target persona for these research management functions?▼
The target personas are academic researchers, laboratory scientists, and technical authors who require structured oversight for complex experimentation, literature synthesis, and the rigorous preparation of manuscripts for peer-reviewed publication.
What are the primary dependencies for executing these research processes?▼
Execution requires access to academic databases like Semantic Scholar and arXiv, local environments configured for LaTeX document compilation, and standard development environments supporting Ruff linting and Pytest for experimental code validation.