EvoScientist
Official@evoscientist
Offers a comprehensive research ecosystem for scholarly manuscript development, iterative experiment management, and academic literature synthesis.
Agent Skills by EvoScientist
Showing 15 vetted skills indexed across 2 GitHub repositories.
experiment-pipeline
Orchestrate a 4-stage research experiment pipeline with budgets and artifact tracking.
paper-planning
Plan scholarly papers with story, experiments, figures, and timeline.
paper-review
Apply a 5-aspect checklist, reverse-outlining, and figure-quality checks to academic paper drafts.
paper-navigator
Search and analyze academic papers across Semantic Scholar, arXiv, and GitHub.
evo-memory
Maintain persistent research memory across ideation and experimentation cycles.
research-survey
Generate structured Markdown literature surveys from curated paper sets.
experiment-iterative-coder
Refine code iteratively with ruff lint checks and pytest tests.
paper-rebuttal
Generate a structured rebuttal plan from peer-review feedback with color-coded priorities.
research-ideation
Generate top-3 research directions and seed evo-memory with summaries.
experiment-craft
Diagnose failed experiments using a 5-step flow and log results with templates.
academic-slides
Generate structured academic slide deck outlines from research content.
paper-writing
Draft and refine academic manuscripts using an 11-step writing workflow with LaTeX templates.
nano-banana
Generate presentation slides and visuals from a structured outline using Gemini image generation.
find-skills
Search skills.sh and install agent skills via skill_manager.
skill-creator
Create, modify, evaluate, and optimize AI skills with automated testing and benchmarking.
Frequently Asked Questions About EvoScientist
FAQPage SchemaWhat specific research tasks can I perform using EvoScientist?▼
You can manage the entire research lifecycle, including scholarly paper planning, literature surveying, iterative code testing, and manuscript drafting. The system supports reverse-outlining, peer-review rebuttal generation, and the creation of academic slide decks from existing research content.
Who is the target persona for these research capabilities?▼
EvoScientist is designed for academic researchers, data scientists, and laboratory leads who require structured environments for experiment tracking and manuscript preparation. It is particularly suited for those managing complex research pipelines that involve code-based experimentation and formal scholarly publication.
What are the prerequisites for running these research modules?▼
Users require access to the skill_manager environment to install and execute these modules. The system relies on standard research dependencies, including LaTeX for document rendering, ruff for code linting, and pytest for validating experimental code integrity.