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Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →<single-line 20-100 word description; include trigger keywords and do not use folded YAML>
Vercel/GitHub-inspired app dashboard with purple-themed aesthetic, top-bar navigation, card-based layouts, and developer-first workflows.
High-contrast, expressive style with creative typography and bold color choices for visually striking interfaces.
Strong visual presence with heavyweight typography, high-contrast colors, and commanding layouts.
Cozy cafe-inspired interface with warm tones, soft typography, and clean layouts for a relaxed browsing experience.
Simplicity-focused design with ample whitespace, legible typography, and a limited color palette to reduce visual clutter.
Playful, character-driven design with expressive typography and bold graphics for landing pages and creative projects.
Dark-themed cloud-platform aesthetic with modular grids, glass-like panels, and strong data hierarchy for productivity dashboards.
Magazine-inspired editorial layout with refined serif typography, structured grids, and elegant reading experiences.
Graceful, refined aesthetic with delicate typography, minimal palettes, and polished layouts that exude sophistication.
Dynamic, vibrant style with thick borders, geometric shapes, high-contrast colors, and expressive typography conveying motion and vitality.
Vibrant, personality-driven design with bold colors, playful graphics, and dynamic layouts that balance creativity with structure.
Two-dimensional minimalist style with vibrant colors, clean typography, and no 3D effects for fast, user-friendly interfaces.
Forward-looking design with tech-inspired typography, modern layouts, and a sleek, innovation-driven aesthetic.
Stripped-back design emphasizing whitespace, clean typography, and restrained color for maximum clarity and focus.
Contemporary editorial style with serif typography, minimal palettes, and clean layouts for polished digital products.
Paper-textured, print-inspired design with minimal colors, clean serif/sans typography, and tactile surface qualities.
Apple-inspired premium aesthetic with precise spacing, modern typography, and a refined, polished visual language.
Polished, business-ready design with modern typography, structured layouts, and a trustworthy visual identity.
Print-inspired visual language for books, magazines, and reports with editorial grids and expressive typography.
Carefully curated, modern minimal style with elegant serif typography and understated, sophisticated palettes.
Throwback design with vintage-inspired typography, high-contrast retro palettes, and nostalgic visual elements.
Straightforward, no-frills design with clean typography, neutral colors, and intuitive layouts that stay out of the way.
Lively, colorful design with bold playful typography, warm accents, and dynamic visual energy.
1950s-1990s nostalgia with skeuomorphic touches, grainy textures, retro color palettes, and pixel-style typography.
Web accessibility patterns for news sites, journalism tools, and academic platforms. Use when building accessible interfaces, auditing existing sites for WCAG compliance, writing alt text for news images, creating accessible data visualizations, or ensuring content reaches all readers including those using assistive technologies. Essential for newsroom developers and anyone publishing web content.
Legal methods for accessing paywalled and geo-blocked content. Use when researching behind paywalls, accessing academic papers, bypassing geographic restrictions, or finding open access alternatives. Covers Unpaywall, library databases, VPNs, and ethical access strategies for journalists and researchers.
Digital archiving workflows with AI enrichment, entity extraction, and knowledge graph construction. Use when building content archives, implementing AI-powered categorization, extracting entities and relationships, or integrating multiple data sources. Covers patterns from the Jay Rosen Digital Archive project.
Use when a dev is new to the project, asks for an overview, or wants to get oriented quickly. Fills graph gaps then runs a guided codebase interview.
Answer a question about a GRACE project using full project context. Use when the user has a question about the codebase, architecture, modules, or implementation — loads all GRACE artifacts, navigates the knowledge graph, and provides a grounded answer with citations.
**🚀 Enhanced with Local Validators**: This command now uses local JavaScript validators for D1, D2, and D3 dimensions to significantly reduce token consumption while maintaining evaluation quality. C
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Plan and create Amazon A+ Content (Enhanced Brand Content). Design module layouts, write persuasive copy, plan comparison charts, and create image briefs that convert browsers into buyers.
Premium A+ and Brand Story — module design, lifestyle imagery, comparison charts, mobile optimization
Plan Amazon product photography for maximum conversion. Shot lists, lighting setups, infographic briefs, lifestyle scene planning, and image optimization following Amazon's requirements.
Low-level Python plotting library for full customization of scientific figures. Use for publication-quality plots (line, scatter, bar, heatmap, contour, 3D), multi-panel subplot layouts, and fine-grained control over every visual element. Export to PNG/PDF/SVG. For quick statistical plots use seaborn; for interactive plots use plotly.
Interactive scientific visualization with Plotly. Two-layer API: plotly.express (px) for one-liner DataFrame plots and plotly.graph_objects (go) for full trace-level control. 40+ chart types with hover, zoom, pan, and animation. Exports to interactive HTML or static PNG/SVG/PDF via kaleido. Use for interactive web figures, volcano plots with gene hover info, dose-response dashboards, gene expression heatmaps, and 3D molecular visualizations. Use seaborn for statistical summaries with automatic aggregation; use matplotlib for fine-grained publication figures; use plotly for interactive or web-embedded output.
Annotated data matrices for single-cell genomics. AnnData stores expression data (X) with observation metadata (obs), variable metadata (var), layers, embeddings (obsm/varm), graphs (obsp/varp), and unstructured data (uns). Use for .h5ad/.zarr file handling, dataset concatenation, and scverse ecosystem integration. For analysis workflows use scanpy; for probabilistic models use scvi-tools.
GATK Best Practices pipeline for germline SNP and indel variant calling from WGS/WES BAM files. Runs HaplotypeCaller in GVCF mode per sample, consolidates with GenomicsDBImport, joint-genotypes with GenotypeGVCFs, and applies VQSR or hard filters. Requires BWA-MEM2-aligned, markdup, and BQSR-processed BAMs. Use DeepVariant instead for a faster deep-learning alternative; GATK is the ENCODE/NIH standard for research and clinical genomics.
NHGRI-EBI GWAS Catalog REST API for SNP-trait associations from published genome-wide association studies. Query studies, associations, variants, traits, genes, and summary statistics. Build polygenic risk score candidates, analyze variant pleiotropy, download summary statistics for Manhattan plots. No authentication required.
Ultra-fast RNA-seq transcript and gene-level quantification using quasi-mapping (no BAM required). Builds a k-mer index from a transcriptome FASTA, then quantifies reads in minutes. Outputs transcript-level TPM/count tables (quant.sf) with optional GC-bias and sequence-bias correction. Integrates directly with tximeta/tximport for DESeq2 or edgeR. Use STAR instead when a genome-aligned BAM is required for variant calling or visualization.
Guide to quantitative Western blot analysis covering band detection, two-step normalization, fold change calculation, statistical aggregation across biological replicates, and publication-ready visualization. Consult when analyzing blot images with multiple conditions and repetitions, choosing normalization strategies, or preparing densitometry figures for publication.
PyTorch Geometric (PyG) for graph neural networks. Node classification, graph classification, link prediction with GCN, GAT, GraphSAGE, GIN layers. Message passing framework, mini-batch processing, heterogeneous graphs, neighbor sampling for large-scale learning, model explainability. Supports molecular property prediction (QM9, MoleculeNet), social networks, knowledge graphs, 3D point clouds. For non-graph deep learning use PyTorch directly; for traditional graph algorithms use NetworkX.
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Guide for designing and creating scientific schematics, diagrams, and graphical abstracts. Covers tool selection (BioRender, Inkscape, Affinity Designer, PowerPoint), design principles for biological pathway diagrams, molecular mechanism schematics, experimental workflow diagrams, and graphical abstracts for journal submissions. Includes composition rules, icon sourcing, color usage for biological entities, and accessibility considerations. Use when planning or creating a scientific figure that is primarily illustrative rather than data-driven.
Create effective scientific presentations for conferences, seminars, thesis defenses, and grant pitches. Slide design principles, talk structure, timing, data visualization for slides, quality assurance. Works with PowerPoint and LaTeX Beamer. For poster creation use latex-research-posters.
DiffDock is a diffusion-based molecular docking tool that predicts protein-ligand binding poses without requiring a predefined binding site. Use it when the binding site is unknown, when traditional docking fails, or when exploring multiple binding modes. Pipeline: prepare protein (PDB) and ligand (SMILES/SDF) inputs → run DiffDock inference → analyze confidence-ranked poses → visualize in PyMOL or NGLview.