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概要と使いどころ
Build sequence logos from aligned DNA, RNA, or protein motifs using ggseqlogo (R), Logomaker (Python), or WebLogo with explicit bits vs probability encoding, background-frequency correction, custom alphabets, and multi-logo stacking. Use when visualizing motif PWMs (TF binding, splice sites, CRISPR spacers), aligned-position composition, or comparing two motif sets.
日本語の概要は準備中です。原文の説明を表示しています。
Visualize copy number profiles, segments, allele-specific tracks, and cohort patterns from CNVkit, GATK, ASCAT, FACETS, Sequenza, and other callers. Covers genome-wide and per-chromosome log2 scatter plots, B-allele-frequency/minor-allele-fraction tracks, ideograms, cohort heatmaps, circos views, and caller-native plots. Use when creating publication CNV figures, choosing which plot answers a given question, diagnosing a wrong diploid baseline visually, displaying loss of heterozygosity, or deciding what depth-only plots cannot reveal.
日本語の概要は準備中です。原文の説明を表示しています。
Calls HLA class I and class II alleles at 2/4/6/8-field resolution from WGS/WES/RNA-seq/long-read data using OptiType, HLA-LA, T1K, Polysolver, HLA-HD, arcasHLA, StarPhase, or HIBAG imputation. Use when typing for HSCT, solid-organ transplant, neoantigen prediction, PGx screening (B*57:01, B*15:02, etc.), or disease-association studies, with reconciliation across tools and IPD-IMGT/HLA version mismatch handling.
日本語の概要は準備中です。原文の説明を表示しています。
Builds QSAR / QSPR models using chemprop D-MPNN, MolFormer, Uni-Mol, ChemBERTa, random forest baselines, and Gaussian processes with explicit handling of OECD 5 principles, applicability domain (kNN, leverage, conformal prediction, Mahalanobis), scaffold-balanced splits, ensemble uncertainty, calibration (Platt, isotonic), feature importance (SHAP, atomic attribution), and prospective validation. Use when building target-specific predictive models from in-house bioassay data, ADMET endpoints, or selectivity profiles.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes differential transcript usage (DTU) and isoform switches with functional consequence prediction (NMD via 50nt rule, ORF disruption, protein domain loss/gain, signal peptide changes, IDR alterations, coding-potential shifts). Tools include IsoformSwitchAnalyzeR v2 (auto-selects satuRn for >5 reps else DEXSeq), the manual DRIMSeq -> DEXSeq/satuRn -> stageR DTU pipeline, and fishpond/swish for inferential-uncertainty-aware DTE. Distinguishes DTU from DGE and DTE; integrates external annotators (CPC2, Pfam, SignalP, IUPred2A or DeepTMHMM). Use when investigating how splicing differences alter protein function or trigger NMD-mediated degradation.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user asks about Hours of Service (HOS) rules under 49 CFR 395 — the 11-hour driving limit, 14-hour on-duty window, 60/70 hour rule, 30-minute break, 10-hour off-duty reset, 34-hour restart, sleeper berth provisions, split sleeper berth, short-haul exemption (150-air-mile), agricultural exemption, adverse driving conditions, ELD malfunction handling, personal conveyance, yard moves, or anything related to driver duty status. Cite specific 49 CFR 395 subsection. If the question involves a non-standard operation (passenger carrier, oilfield, agricultural, military), confirm which set of rules applies.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill to understand what CSA data the public sees about your carrier and how that affects business. Covers SAFER, accessibility, and what's hidden vs visible.
日本語の概要は準備中です。原文の説明を表示しています。
Filesystem auto-discovery of App Router pages into navigable index pages. Use when creating an index/listing page, adding route directories, converting hard-coded route configs to auto-discovery, or adding a route-listing display variant.
日本語の概要は準備中です。原文の説明を表示しています。
Rules for SKILL.md files that trigger, fit, and are proven. Use when creating a SKILL.md, rewriting its description, splitting an oversized SKILL.md, or editing one because an agent ignored, misread, or never fired it.
日本語の概要は準備中です。原文の説明を表示しています。
react-resizable-panels v4 rules for this SSR codebase. Use when importing react-resizable-panels (PanelGroup and PanelResizeHandle are v3 names), editing components/ui/resizable* or features/code/layout/, building a split-pane, sidebar, or drag-handle layout, or persisting or toggling panel sizes.
日本語の概要は準備中です。原文の説明を表示しています。
Custom chat display for an MCP or agent tool's result, DB-loaded from tool_ui by default. Use when adding or customizing a tool visualization, making a tool result look good, rendering MCP tool output, or authoring a renderer for a tool that shows the generic view.
日本語の概要は準備中です。原文の説明を表示しています。
Platform agent skill and content blocks that teach agents a render block, building the block first if new. Use when asked to create the skill for a render block, skill-ify flashcards or quiz, add content blocks for a block, or add a new render block type. NOT for tool result displays (use create-tool-renderer).
日本語の概要は準備中です。原文の説明を表示しています。
Find and identify the CCSGameRules__sm_mapGcBanInformation global variable in CS2 binary using IDA Pro MCP. Use this skill when reverse engineering CS2 server.dll or libserver.so to locate the GC ban information map structure by decompiling CCSPlayerController_ResourceDataThink's sub-function (Linux) or searching for the "Notification about user penalty" string (Windows).
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user wants to work with PDF files, including text/table extraction, merging, splitting, rotation, watermarking, creation, form filling, encryption/decryption, image extraction, or OCR for scanned PDFs.
日本語の概要は準備中です。原文の説明を表示しています。
Apple Human Interface Guidelines for iPad. Use when building iPad-optimized interfaces, implementing multitasking, pointer support, keyboard shortcuts, or responsive layouts. Triggers on tasks involving iPad, Split View, Stage Manager, sidebar navigation, or trackpad support.
日本語の概要は準備中です。原文の説明を表示しています。
Enables Claude Code to collaborate with OpenAI Codex CLI on Windows. Use this skill when the user wants to get a second opinion from Codex, compare approaches between Claude and Codex, or leverage both AI assistants for collaborative problem-solving. This skill supports both non-interactive mode (automatic response retrieval) and interactive mode (visual pane splitting with tmux).
日本語の概要は準備中です。原文の説明を表示しています。
作業担当が自分の限定ワーカーへ成果を委任し、同じ担当が回収・検収・修正・統合まで進める場合に使う。
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
日本語の概要は準備中です。原文の説明を表示しています。
Read analysis results. Use when user asks about maximum stress, extracting displacements, reaction forces, or exporting results. Post-processes ODB files.
日本語の概要は準備中です。原文の説明を表示しています。
Complete workflow for static structural analysis. Use when analyzing stress, displacement, or reaction forces under constant loads. For strength and stiffness evaluation.
日本語の概要は準備中です。原文の説明を表示しています。
Define boundary conditions - fixed supports, displacements, symmetry. Use when user mentions fixed, pinned, clamped, supported, or constrained. Does NOT handle loads or forces.
日本語の概要は準備中です。原文の説明を表示しています。
Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing ...
日本語の概要は準備中です。原文の説明を表示しています。
The science of learning through controlled experimentation. A/B testing isn't about picking winners—it's about building a culture of validated learning and reducing the cost of being wrong. This skill covers experiment design, statistical rigor, feature flagging, analysis, and building experimentation into product development. The best experimenters know that every test, positive or negative, teaches something valuable. Use when "a/b test, experiment, hypothesis, statistical significance, sample size, feature flag, variant, control, treatment, p-value, conversion rate, test winner, split test, experimentation, testing, statistics, feature-flags, hypothesis, growth, optimization, learning, validation" mentioned.
日本語の概要は準備中です。原文の説明を表示しています。
Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio siguiendo el Estándar de Diamante.
日本語の概要は準備中です。原文の説明を表示しています。