「selection」の検索結果

Discovers de novo motifs and tests known motif enrichment in ChIP-seq, ATAC-seq, or other peak sequences using HOMER, MEME-ChIP (STREME, CentriMo, TOMTOM, FIMO), monaLisa, and AME. Handles background selection (GC-matched, dinucleotide-shuffled, Markov order-2, peak-flanks), motif databases (JASPAR 2024 CORE PWMs, JASPAR 2026 deep-learning collection, HOCOMOCO v12, HOMER built-in), centrally-enriched motif testing, and differential motif analysis. Use when identifying TF binding motifs in peaks, testing for known TF enrichment, scanning for motif instances, comparing motif content between conditions, or interpreting motifs from deep learning models.

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。

End-to-end binder design using BindCraft hallucination. Use this skill when: (1) Designing protein binders with built-in AF2 validation, (2) Running production-quality binder campaigns, (3) Using different design protocols (fast, default, slow), (4) Need joint backbone and sequence optimization, (5) Want high experimental success rate. For backbone-only generation, use rfdiffusion. For QC thresholds, use protein-qc. For tool selection guidance, use binder-design.

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。

Guidance for choosing the right protein binder design tool. Use this skill when: (1) Deciding between BoltzGen, BindCraft, or RFdiffusion, (2) Planning a binder design campaign, (3) Understanding trade-offs between different approaches, (4) Selecting tools for specific target types. For specific tool parameters, use the individual tool skills (boltzgen, bindcraft, rfdiffusion, etc.).

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。

Perform multiple sequence alignment using MAFFT, MUSCLE5, ClustalOmega, or T-Coffee. Guides tool and algorithm selection based on dataset size, sequence divergence, and downstream application. Use when aligning three or more homologous sequences for phylogenetics, conservation analysis, or evolutionary studies.

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。

Determines whether to recommend adrenalectomy or mineralocorticoid receptor antagonists for primary aldosteronism based on PA subtype and patient/surgical factors. Triggered after subtype confirmation when clinicians ask “Should this patient have surgery or medical treatment?” or discuss treatment options with the patient.

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。

Guides choice among spironolactone, eplerenone, and esaxerenone for primary aldosteronism based on comparative efficacy, safety, and patient-specific factors. Triggers include when initiating MRA therapy and asking 'Which MRA should I prescribe?' or considering switching agents due to adverse effects, cost, or need for potassium supplementation.

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This skill suggests using denosumab rather than an intravenous bisphosphonate for adults with hypercalcemia of malignancy. It is triggered when a clinician questions which antiresorptive to choose first or seeks guidance on drug selection for HCM.

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。

Guides comorbidity-stratified selection of initial and further glucose-lowering medicines for adults with type 2 diabetes using the NICE NG28 (2026) framework, covering six clinical profiles: no relevant comorbidity, heart failure, atherosclerotic cardiovascular disease, early onset, obesity, chronic kidney disease, and frailty.

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Complete bedside prescribing reference for Mirago (mirabegron, beta-3 adrenoceptor agonist) for overactive bladder — covering contraindications, safety screening, drug interactions, dose selection in special populations, titration, and administration. Use when a clinician asks how to start mirabegron, what dose to use in renal or hepatic impairment, is mirabegron safe in this patient, mirabegron drug interactions, or Mirago for OAB.

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。

Suggests using longer-acting glucocorticoids when standard hydrocortisone regimens are impractical due to nonavailability, poor adherence, or need for once-daily dosing. Triggers include glucocorticoid replacement therapy decisions where patients report difficulty with multiple daily doses, lack of access to hydrocortisone, or preference for simplified regimens.

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。

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

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。

Standalone browser-based visual companion for interactive mockups, diagrams, wireframes, layout comparisons, visual brainstorming, and clickable visual option selection.

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 a user wants a standalone browser-based visual companion for interactive mockups, diagrams, wireframes, layout comparisons, visual brainstorming, or clickable visual option selection. Starts a local zero-dependency Node server, writes HTML screens, and reads browser click events.

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-level polymer science covering polymer structure, thermoplastics and thermosets, mechanical behavior, processing methods, and polymer selection for engineering applications.

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-level manufacturing processes covering machining, casting, forming, welding, additive manufacturing, tolerances, and process selection.

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-level process simulation covering Aspen Plus, HYSYS, steady state and dynamic simulation, thermodynamic model selection, and simulation troubleshooting.

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-level environmental remediation covering site characterization, risk assessment, remediation technology selection, in-situ and ex-situ treatment, and regulatory closure.

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。

Isolate the root cause of ML performance drops, inconsistent evaluations, prediction errors, and training-serving mismatches across data, labels, splits, pipelines, models, metrics, and runtime behavior. Use when investigating a reproducible failure or regression, not routine model selection or general performance validation.

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Generate architecture and design documents for implemented code changes with risk-based depth selection. Automatically evaluates risk signals, layer spread, and change magnitude to choose documentation level (A/B/C). Use after completing a feature, before merging a PR that touches multiple layers or sensitive areas (auth, infra, migrations, payments), or when an implemented change needs a design record or ADR.

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 sequencing market entry — geo / segment / vertical, beachhead selection, regulatory-delta. Triggers on 'should we enter market X', 'which segment first'.

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 designing monitoring dashboards — visualization selection, layout principles, observability strategies (RED/USE/Golden Signals), and data storytelling.

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 comparing this package to a peer / competitor — ours-vs-theirs verdict table, axis selection, adoption queue. Triggers on 'how do we compare to X', 'should we adopt their pattern'.

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 mapping funnel-stage to content shape — conversion-pathway, content-as-system, leverage-point selection. Triggers on 'design our content funnel', 'why does mid-funnel leak'.

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 defining or auditing the activation event — aha-moment selection, retention correlation, falsifiable definition. Triggers on 'what is our aha moment', 'redefine activation'.

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。