.fyi
SkillsMCPPluginsSubagents

Browse by category

DevOps & CI/CD SkillsProductivity & Workflow SkillsOther SkillsProduct & Project Management SkillsDocumentation & Knowledge SkillsCode Review & Refactor SkillsBackend & APIs SkillsAgent Meta & Communication SkillsResearch SkillsSecurity SkillsUX UI & Design SkillsTesting & QA SkillsSee all →

Every Claude Code skill, MCP server, plugin and subagent in one directory. Searchable, comparable, and one command from installed. Live stats from GitHub, npm and PyPI.

We're on Product HuntYour agent's app storeCheck it out →
Agent SkillsMCP ServersPluginsSubagentsCoding Agents
CollectionsOfficial publishersGlossaryFAQBlogSearchSavedFeedback
PrivacyTermsllms.txtSitemap

made with ♥ · © 2026 aaaa.fyi

Independent project · real data from public registries

…/leonardodalinky/scider
home/skills/leonardodalinky/scider
leonardodalinky avatar

leonardodalinky/scider

32 skills

View on GitHub
$npx skills add leonardodalinky/scider
SkillInstalls
bioinformatics-analysisBioinformatics workflows — RNA-seq and scRNA-seq analysis pipelines, enrichment analysis (GO/KEGG/GSEA), variant interpretation, protein structure analysis,…—biology-ecologyExperimental and ecological biology — experimental design with controls/replicates, biology-specific statistical tests, diversity indices, cell biology assays…—causal-inferenceCausal inference methods — DAG-based causal thinking, distinguishing observational from experimental data, IV, DiD, RDD, propensity score matching, and…—chemistry-analysisCheminformatics and computational chemistry — SMILES/InChI parsing, molecular property prediction, spectroscopy interpretation, DFT workflow, materials…—computer-science-theoryCS theory for research — algorithm complexity analysis, data structure selection, rigorous benchmarking discipline, distributed systems fundamentals, and…—computer-visionComputer vision workflows — image data characterization, preprocessing and augmentation, architecture selection (CNN vs ViT), and evaluation metrics (mAP, IoU,…—content-refinement-agentStep 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with…—engineering-systemsEngineering systems analysis — control theory (PID, transfer functions, Bode plots), signal processing, reliability engineering, engineering optimization…—experiment-designControlled experiment design — hypothesis formation, statistical power and sample size estimation, confound control, ablation structure, baseline selection,…—exploratory-data-analysisComprehensive EDA on scientific data files — structure, content, quality, and characteristics analysis across 200+ formats.—huggingface-model-searchFind pretrained models on HuggingFace Hub by task, keyword, size, or downloads.—literature-review-agentStep 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search,…—materials-scienceMaterials science analysis — crystal structure, phase diagrams, mechanical and electronic properties, characterization techniques (XRD, SEM/TEM, AFM, XPS), and…—mathematics-formalFormal mathematics for scientific computing — symbolic computation (sympy), numerical linear algebra, optimization (convex/non-convex), information theory, and…—matplotlibLow-level plotting library for full customization. Use when you need fine-grained control over every plot element, novel plot types, or publication-quality…—ml-model-evaluationModel evaluation framework — cross-validation strategies, metric selection by task type, baseline requirements, ablation design, and train/val/test discipline.—network-graph-analysisGraph and network analysis — graph construction, centrality measures, community detection, graph ML basics, and visualization.—nlp-text-analysisText data analysis for NLP research — dataset characterization, preprocessing decision guide, tokenization choices, embedding selection, and evaluation metrics…—outline-agentStep 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON…—paper-orchestraOrchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log,…—physics-simulationPhysics simulation and computational analysis — ODE/PDE solvers, molecular dynamics, Monte Carlo methods, signal processing, error propagation, and unit…—plotting-agentStep 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from…—scientific-brainstormingCreative research ideation and exploration for open-ended brainstorming, interdisciplinary connections, challenging assumptions, and identifying research gaps.—scientific-critical-thinkingEvaluate scientific claims and evidence quality, assess experimental design validity, identify biases and confounders, and apply evidence grading frameworks…—scientific-visualizationPublication-quality figure guidelines for scientific papers — DPI, font sizes, colorblind-friendly palettes, plot type selection, multi-panel layout,…—seabornStatistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons.—section-writing-agentStep 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology,…—social-science-economicsSocial science and economics methods — survey analysis (Cronbach's alpha, factor analysis), econometrics (OLS diagnostics, robust SEs), panel data, behavioral…—statistical-analysisGuided statistical analysis with test selection, assumption checking, power analysis, and APA-formatted reporting.—statistics-advancedAdvanced statistical methods — Bayesian inference with PyMC/MCMC, mixed-effects models, resampling (bootstrap, permutation), spatial statistics, and missing…—time-series-analysisTime series data analysis — stationarity testing, decomposition, autocorrelation, forecasting method selection, temporal cross-validation, and evaluation…—uv-package-managerUV package manager for fast Python dependency management and virtual environments.—