Science-Discovery
Official@science-discovery
Offers specialized research synthesis, academic manuscript generation, and cloud-native infrastructure management for scientific and technical development environments.
Agent Skills by Science-Discovery
Showing 26 vetted skills indexed across 1 GitHub repositories.
skill-manager
Scan directories to discover and validate Skill Units with SKILL.md metadata.
skill-security-auditor
Audit AI Skill packages for security risks and output PASS/WARN/FAIL reports.
scientific-brainstorming
Generate novel research hypotheses through a structured multi-phase brainstorming workflow.
academic-researcher
Organize and synthesize scholarly literature into a publish-ready manuscript.
prepare-for-git-commit
Inspects staged changes, validates coding standards, and generates commit messages.
arxiv-search
Search arXiv repository and return titles and abstracts for matching papers.
project-signpost
Generate hierarchical per-directory READMEs with trigger-condition annotations for AI file discovery.
research-grants-ch
Draft NSFC and postdoc grant proposals with structured outlines and budget guidelines.
scientific-critical-thinking
Evaluate scientific claims and evidence quality using GRADE/ROB frameworks.
deep-research
Synthesize multiple sources into a cited research analysis with numbered references.
read-arxiv-paper
Fetch arXiv LaTeX sources and generate Markdown summaries.
Excel Analysis
Automate Excel data analysis and visualization with pandas, openpyxl, and matplotlib.
clawhub
Search, install, update, and publish agent skills from clawhub.com via CLI.
response-to-referee
Parse reviewer comments and manuscript content to generate point-by-point LaTeX rebuttals.
research-grants
Generate agency-specific research proposal sections for NSF, NIH, DOE, and DARPA.
literature-review
Automate multi-database literature searches and generate reproducible Markdown and PDF outputs.
skill-creator
Scaffold SKILL.md templates and enforce consistent AgentSkills resource layouts.
brainstorming
Guide teams through a 6-step structured brainstorming process to produce design docs.
write-paper
Generate a publication-ready LaTeX academic paper from project data.
ppt-generation
Generate slide images sequentially and assemble them into a PPTX file.
code-reviewer
Identify and prioritize security, performance, and maintainability issues during code reviews.
docx
Create, read, edit, and format Word documents with Python-based XML processing.
peer-review
Evaluate scientific manuscripts against reporting standards and generate reproducible feedback.
aether-issue-pr
Automate GitHub issue and PR workflows for the Science-Discovery/Aether repository.
Frequently Asked Questions About Science-Discovery
FAQPage SchemaWhat specific research tasks can be performed using these capabilities?▼
These capabilities enable systematic literature reviews, arXiv paper summarization, and the generation of point-by-point LaTeX rebuttals for peer-review processes. Users can also draft structured grant proposals for major funding agencies and evaluate scientific claims using standardized GRADE and ROB frameworks.
Who is the target persona for these technical resources?▼
The primary target personas are academic researchers, scientific principal investigators, and technical engineers managing distributed cloud environments. These resources are designed for professionals requiring rigorous documentation standards, reproducible research outputs, and scalable deployment management for research-oriented software projects.
What are the prerequisites for deploying these research and cloud resources?▼
Deployment requires a configured environment capable of executing LaTeX compilation and managing Cloudflare-based infrastructure. Users must ensure access to relevant research databases and maintain valid credentials for the specific cloud services or repository platforms utilized by the individual skill units.