Awesome all-in-one research skills for AI agents — covering every academic discipline. Works with Claude Code, Codex, Gemini CLI & Cursor.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Create publication-quality figures with matplotlib/seaborn (Python) or ggplot2 (R). Covers multi-panel layouts, colorblind-safe palettes, and journal export settings.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Design rigorous experiments: sample size calculation, randomization strategies, pre-registration, and AB test duration estimation.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill to structure research grant proposals: NSF/NIH Specific Aims, budget justification, ERC narrative sections, structured abstracts, and biosketch formatting.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill when the user needs to search academic literature, collect papers for a systematic review, or find the latest research on any topic. Covers cross-database search via OpenAlex API, Semantic Scholar API, and arXiv API, with deduplication, citation snowballing, BibTeX export, and annual trend visualization.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill to pool effect sizes across studies: fixed/random-effects models, heterogeneity tests (I², Cochran Q), forest plot, funnel plot, Egger test, and subgroup analysis using pymare or manual computation.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill to apply machine learning in research: scikit-learn pipelines, FLAML AutoML, SHAP explainability, nested cross-validation, and model cards.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill to deposit, document, and share research data: Zenodo/OSF API upload, FAIR assessment, DMP generation, data dictionary, and Dublin Core/DataCite metadata.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill to preregister a study on OSF or AsPredicted, generate CONSORT/STROBE/PRISMA compliance checklists, and track deviations between the registered protocol and final analysis.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill to write structured academic peer-review rebuttals: point-by-point responses, tone calibration, LaTeX templates, and cover letters for re-submission.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill to make a research project fully reproducible: conda/renv environment locking, DVC data versioning, Dockerfile for analysis, and FAIR data principles.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill for research data lifecycle management: codebook generation, DVC versioning, anonymization (k-anonymity, pseudonymization), and README templates.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill for bibliometric analysis: author h-index, citation counts, co-authorship networks, co-citation analysis, bibliographic coupling, and VOSviewer-compatible output.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Select and run the correct hypothesis test based on data properties. Covers parametric/non-parametric tests, effect sizes, and multiple comparison correction.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill to design, validate, and deploy research surveys: Likert scale construction, attention checks, pilot testing, ICC reliability, and Qualtrics/LimeSurvey export.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill when conducting a systematic literature review following PRISMA 2020: PICO framework, database search strategy, title/abstract screening, full-text eligibility, data extraction, and GRADE evidence grading.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill for research version control: Git workflow for analysis code, DVC data pipelines, GitHub Actions for reproducibility CI, and .env secrets management.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Astronomical data analysis with astropy and astroquery — FITS I/O, WCS transforms, catalog cross-matching, aperture photometry, and CMB power spectra.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill to solve PDEs with the finite element method using FEniCS/dolfinx: weak form formulation, mesh generation with gmsh, Poisson/elasticity problems, boundary conditions, and paraview export.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill for classical molecular dynamics simulations with LAMMPS: force field selection (LJ, EAM, CHARMM), NVT/NPT ensembles, RDF/MSD post-processing, and OVITO visualization.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill for 3D scientific visualization with Mayavi: vector fields, isosurfaces, volume rendering, and animated 3D plots for physics data.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill when simulating physical systems with Monte Carlo methods: statistical integration, MCMC sampling, Ising model, error estimation.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Seismological data analysis with ObsPy — FDSN waveform download, response removal, phase picking, moment tensor inversion, and seismicity mapping.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Physics-informed neural networks, neural ODEs, and data-driven force-field learning using PyTorch, DeepXDE, and torchdiffeq.
xjtulyc/awesome-rosetta-skills
Skill Claude CodeCodex
Use this Skill for quantum computing experiments with Qiskit: qubit circuits, gates, measurement, VQE/QAOA variational algorithms, noise models, and statevector vs shot simulation.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: