GITHUB AGENT SKILLS / 技能收录
给你的 AI 助手
装上专业技能
我们从 GitHub 持续收录、审核并分类优质的 Agent Skills，按职业与使用场景整理，复制一行命令即可安装到 Claude Code、Cursor 等智能体。
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按 GitHub Stars 排序的优秀创作者
Microsoft
@microsoft
openclaw
@openclaw
OpenAI
@openai
The Apache Software Foundation
@apache
GitHub
@github
Anthropic
@anthropics
AutoGPT
@Significant-Gravitas
Garry Tan
@garrytan全部 Skills 196852
th-engineering
Use for engineering-quality work on any change or codebase — holding an implementation or review to the engineering quality bar, code readability, test-suite rigor, CI pipeline discipline (where checks run, duplicate runs, slow or clogged CI), module boundaries and dependency chains, diagnosing hard bugs and flaky failures to root cause, post-refactor cruft cleanup, codebase documentation, scaffolding or reviewing skills against the skill quality bar, greenfield-parity complexity audits that re-run without duplicating beads, or Excalidraw diagrams. Triggers: "hold this to the engineering bar", "is this code readable", "review these tests", "CI is too slow", "why does CI run twice", "untangle these dependencies", "diagnose this", "flaky test", "clean up this refactor", "would we build it this way from scratch", "is this over-engineered", "document this service", "audit the docs", "review this skill", "create a skill", "draw a diagram".
tooluniverse-multi-omics-integration
Integrate and analyze multiple omics datasets (transcriptomics, proteomics, epigenomics, genomics, metabolomics) for systems biology and precision medicine. Performs cross-omics correlation, multi-omics clustering (MOFA+, NMF), pathway-level integration, and sample matching. Coordinates ToolUniverse skills for expression data (RNA-seq), epigenomics (methylation, ChIP-seq), variants (SNVs, CNVs), protein interactions, and pathway enrichment. Use when analyzing multi-omics datasets, performing integrative analysis, discovering multi-omics biomarkers, studying disease mechanisms across molecular layers, or conducting systems biology research that requires coordinated analysis of transcriptome, genome, epigenome, proteome, and metabolome data.
visual-language
Use when choosing or reviewing colors, typography, spacing, component styling, or motion/animation for a user surface — establishing consistent visual semantics, bootstrapping a project design system (tokens, scales, recorded meanings), judging whether an animation is justified, or auditing a UI for visual drift and inconsistency.
tooluniverse-model-organism-genetics
Cross-species genetic analysis using model organism databases. Maps human genes to orthologs in mouse, fly, worm, zebrafish, yeast, and frog, then retrieves phenotypes, expression, and functional data from MGI, FlyBase, WormBase, ZFIN, SGD, and Xenbase. Use when users ask about model organisms, gene orthologs, mouse phenotypes, fly genetics, worm RNAi, zebrafish morphants, cross-species comparison, animal models for human disease, or conservation of gene function.
interaction-speed
Use when a user surface feels sluggish, when designing the responsiveness of a new interaction, or when reviewing perceived performance — latency budgets, preloading and caching strategy, optimistic rendering, loading states, notification and interruption policy (toast vs modal), and double-click/double-submit hazards.
tooluniverse-metagenomics-analysis
Analyze microbiome and metagenomics data using MGnify, GTDB, ENA, and literature tools. Search studies by biome/keyword, retrieve taxonomic profiles and functional annotations, classify genomes with GTDB taxonomy, and find related publications. Use for human gut microbiome, soil/ocean metagenomics, and environmental microbiology research.
information-design
Use when deciding what a screen, page, dashboard, table, or output says and in what order — calibrating information density, establishing visual hierarchy, tightening copy and labels, organizing layout, or laying out forms and their validation timing — including judging whether a surface is too dense or too sparse.
tooluniverse-metabolomics
Comprehensive metabolomics research skill for identifying metabolites, analyzing studies, and searching metabolomics databases. Integrates HMDB (220k+ metabolites), MetaboLights, Metabolomics Workbench, and PubChem. Use when asked to identify or annotate metabolites (HMDB IDs, chemical properties, pathways), retrieve metabolomics study information from MetaboLights (MTBLS*) or Metabolomics Workbench (ST*), search for studies by keywords or disease, or generate comprehensive metabolomics research reports.
discoverability
Use when users can't find a feature, when adding a command palette or launcher (Spotlight/Rofi-style), when designing keyboard shortcuts and power paths, or when reviewing whether a product's features are findable and its frequent actions have fast routes.
tooluniverse-metabolomics-pathway
Metabolomics pathway analysis -- metabolite identification, pathway mapping, disease associations, cross-database enrichment, and enzyme/gene linkage. Connects PubChem, HMDB, MetaCyc, CTD, KEGG, Reactome, MetabolomicsWorkbench, and BridgeDb. Use when users ask about metabolite identification, metabolic pathways, metabolite-disease links, metabolomics data interpretation, or pathway enrichment from metabolite lists.
design-bar
Use when designing or reviewing anything with a user surface and you need the canonical design quality bar — default UX biases, the UX walkthrough ritual, and the definition of done — or when resolving conflicts between design subdomain findings.
tooluniverse-metabolomics-analysis
Analyze metabolomics data including metabolite identification, quantification, pathway analysis, and metabolic flux. Processes LC-MS, GC-MS, NMR data from targeted and untargeted experiments. Performs normalization, statistical analysis, pathway enrichment, metabolite-enzyme integration, and biomarker discovery. Use when analyzing metabolomics datasets, identifying differential metabolites, studying metabolic pathways, integrating with transcriptomics/proteomics, discovering metabolic biomarkers, performing flux balance analysis, or characterizing metabolic phenotypes in disease, drug response, or physiological conditions.
accessibility
Use when building or reviewing any user surface for accessibility — keyboard operability, focus management, contrast ratios, semantic markup and screen reader support, hit-target sizing, reduced motion — or when auditing an existing UI against WCAG-level expectations.
tooluniverse-literature-deep-research
Comprehensive literature deep research across any academic domain using 120+ ToolUniverse tools. Conducts subject disambiguation, systematic literature search with citation network expansion, evidence grading (T1-T4), and structured theme extraction. Produces detailed reports with mandatory completeness checklists, integrated models, and testable hypotheses. Use when users need thorough literature reviews, target/drug/disease profiles, topic deep-dives, claim verification, or systematic evidence synthesis. Supports biomedical (genes, proteins, drugs, diseases), computer science, social science, and general academic topics. For single factoid questions, uses a fast verification mode with inline answer.
th-design
Use for UI/UX design work on anything with a user surface — web UI, TUI, CLI ergonomics, dashboards, internal tools — holding a design, spec, mockup, or implementation to the owner's design bar, or building/styling distinctive production-grade frontends. The bar: seamless snappy UX, accessible consistent visuals, calibrated density, discoverable features with shortcut surfaces (command palettes), perceived-performance engineering, motion restraint; chart construction (dataviz) executes under it. Triggers: "design this UI", "build/style this page or component", "review this UX", "walk through the UX", "is this too dense/sparse", "make this feel faster", "add a command palette", "audit accessibility", "pick colors", "set up a design system", "make this look less generic".
tooluniverse-lipidomics
Analyze lipids, lipid metabolism, and lipid-disease associations using LIPID MAPS, HMDB, PubChem, KEGG, and CTD. Covers lipid identification, classification, pathway mapping, biomarker discovery, and disease links. Distinct from general metabolomics — focuses on lipid-specific biology (membrane composition, signaling lipids, lipoproteins, sphingolipids, eicosanoids). Use when asked about lipid profiling, lipidomics data interpretation, lipid biomarkers, lipid metabolism disorders, or lipid-disease connections.
blogpost-formatter
Auto-format and harden a blog post for build + publish — frontmatter normalization, MD/MDX safety fixes, structural scaffolding, and asset hygiene. Minimal editorial judgment.
tooluniverse-kegg-disease-drug
KEGG-based disease-drug-variant research using KEGG Disease, Drug, Network, and Variant databases. Covers disease gene lookup, drug-target analysis, disease-gene-drug network exploration, and variant annotation. Use when users ask about KEGG disease entries, KEGG drug targets, disease-variant-drug relationships, or KEGG network analysis.