littlt-momo-c-yfc
Community@littlt-momo-c-yfc · Qingdao Agricultural University
Registry of 40 skills for Nature-style academic writing, Chinese thesis and patent drafting, literature search, and scientific computing in Python, MATLAB, and R.
Agent Skills by littlt-momo-c-yfc
Showing 40 vetted skills indexed across 1 GitHub repositories.
littlt-momo-c-yfcnature-paper-to-patent
Convert research papers into evidence-grounded Chinese invention patent drafts with DOCX output.
littlt-momo-c-yfcAcademic Figure Prompt — Modern ML Airy Style
Generates detailed English prompts for AI image tools to create modern ML paper-style figures.
littlt-momo-c-yfclatex-thesis-zh
Diagnose and review Chinese LaTeX thesis projects for compilation, formatting, logic, and AI-writing traces.
littlt-momo-c-yfcnature-reviewer
Generate three Nature-style reviewer reports and a cross-review synthesis from manuscript drafts.
littlt-momo-c-yfcnature-paper2ppt
Convert scientific papers into Chinese Nature-style PPTX decks with figures and speaker notes.
littlt-momo-c-yfccodebase-to-course
Generates an interactive single-page HTML course that teaches how a codebase works.
littlt-momo-c-yfcnature-citation
Segments manuscript text and exports Nature/CNS citation candidates as ENW, RIS, or Zotero RDF.
littlt-momo-c-yfcAcademic Figure Prompt
Generates detailed English prompts for AI image tools to create academic paper figures.
littlt-momo-c-yfcfind-skills
Searches and installs agent skills from the open skills ecosystem using the Skills CLI.
littlt-momo-c-yfcnature-data
Drafts and audits Nature-style Data Availability statements, repository plans, and FAIR metadata checklists.
littlt-momo-c-yfcnature-response
Drafts and audits point-by-point reviewer response letters for journal manuscript revisions.
littlt-momo-c-yfcscientific-toolkit-skill
Write and verify MATLAB and Python code for scientific computing, statistics, simulation, and publication figures.
littlt-momo-c-yfcoffice-academic-skill
Generate Chinese academic Word reports and PowerPoint decks from papers with evidence labels.
littlt-momo-c-yfcnature-writing
Drafts and restructures Nature-style manuscript sections from author-provided claims, results, and notes.
littlt-momo-c-yfcnature-reader
Generates bilingual Chinese-English Markdown readers with figure extraction and source anchors from academic papers.
littlt-momo-c-yfcresearch-writing-skill
Draft and revise Chinese-first research paper sections with evidence-grounded academic prose.
littlt-momo-c-yfcnature-academic-search
Searches PubMed, CrossRef, arXiv, Scopus, and ScienceDirect and converts citations across formats.
littlt-momo-c-yfcnature-polishing
Polish and restructure academic manuscripts into Nature-style English using section-specific writing fragments.
littlt-momo-c-yfcnature-figure
Generates submission-grade multi-panel scientific figures for Nature-tier journals using Python or R.
littlt-momo-c-yfcnetworkx
Create, analyze, and visualize complex networks and graphs in Python.
littlt-momo-c-yfcsympy
Perform symbolic mathematics in Python including algebra, calculus, equation solving, and code generation.
littlt-momo-c-yfcexploratory-data-analysis
Analyze scientific data files across 200+ formats and generate markdown EDA reports.
littlt-momo-c-yfcseaborn
Create statistical visualizations from pandas DataFrames using seaborn's plotting functions and objects interface.
littlt-momo-c-yfcpymatgen
Analyze crystal structures, phase diagrams, and electronic properties with pymatgen and Materials Project.
Frequently Asked Questions About littlt-momo-c-yfc
FAQPage SchemaWhat tasks can I accomplish with littlt-momo-c-yfc's skills?▼
You can draft and polish Nature-style manuscripts, compile Chinese LaTeX theses with GB/T 7714 references, generate Chinese patent drafts from papers, build paper-to-PPTX decks, search PubMed/arXiv/CrossRef, manage BibTeX citations, create publication figures, and run scientific computing in Python, MATLAB/Octave, and R.
Who are these skills designed for?▼
Graduate students, PhD candidates, and researchers preparing journal submissions, theses, patents, or conference presentations—especially Chinese-speaking academics targeting Nature-family or high-impact journals, plus scientists needing numerical computing, simulation, statistics, or machine learning support.
How do I run these skills in practice?▼
Install the desired skill folder into your agent environment; skills declare allowed tools such as Read, Write, Edit, Bash, Glob, and Grep. Figure skills ask you to choose Python or R first, MATLAB scripts run via MATLAB or GNU Octave, and TimesFM includes a preflight RAM/GPU checker script.
Are these skills open source and what do they cost?▼
Most library skills carry permissive licenses: MIT (pymatgen, simpy, literature-review), BSD-3-Clause (networkx, seaborn, scikit-learn, astropy), and Apache-2.0 (timesfm-forecasting, pymoo). The xlsx and pdf skills are proprietary under their LICENSE.txt terms; MATLAB itself requires a MathWorks license.
What prerequisites or dependencies are required?▼
Python-based skills need their respective libraries (matplotlib, sympy, qutip, statsmodels, pymatgen). LaTeX thesis work requires a XeLaTeX setup with university templates like thuthesis. Literature search uses MCP connections to PubMed, CrossRef, arXiv, Scopus, and ScienceDirect; MATLAB skills need MATLAB or Octave installed for execution.