Python-first workflow for bulk RNA-seq expression intake, normalization, sample QC, and downstream-ready matrices.
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。
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Python-first workflow for bulk RNA-seq expression intake, normalization, sample QC, and downstream-ready matrices.
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。
Quality control metrics and filtering thresholds for protein design. Use this skill when: (1) Evaluating design quality for binding, expression, or structure, (2) Setting filtering thresholds for pLDDT, ipTM, PAE, (3) Checking sequence liabilities (cysteines, deamidation, polybasic clusters), (4) Creating multi-stage filtering pipelines, (5) Computing PyRosetta interface metrics (dG, SC, dSASA), (6) Checking biophysical properties (instability, GRAVY, pI), (7) Ranking designs with composite scoring. This skill provides research-backed thresholds from binder design competitions and published benchmarks.
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。
Fetch and analyze protein structures from RCSB PDB. Use this skill when: (1) Need to download a structure by PDB ID, (2) Search for similar structures, (3) Prepare target for binder design, (4) Extract specific chains or domains, (5) Get structure metadata. For sequence lookup, use uniprot. For binder design workflow, 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。
Generate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation. Use this skill when: (1) Designing binder scaffolds for a target protein, (2) Generating novel protein backbones from scratch, (3) Scaffolding functional motifs into new proteins, (4) Specifying hotspot residues for interface design, (5) Creating symmetric oligomers. For sequence design after backbone generation, use proteinmpnn. For structure validation, use alphafold or chai. For QC thresholds, use protein-qc.
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。
Workflow for copy-number estimation, segmentation, annotation, and visualization in sequencing-based assays.
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。
Chai-1 structure prediction for protein complexes and design validation. Use this skill when: (1) Predicting protein-protein complex structures, (2) Validating designed binders, (3) Predicting protein-ligand complexes, (4) Using the Chai API for high-throughput prediction, (5) Need an alternative to AlphaFold2. For QC thresholds, use protein-design-qc. For AlphaFold2 prediction, use alphafold2-multimer. For ESM-based analysis, use esm2-sequence-scoring.
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。
Workflow for retrieving public omics datasets, sequences, annotations, and literature-linked biological resources.
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。
Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.
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。
Portable multi-source research with cross-source validation and an offline evidence ledger. Use for fact-checking, comprehensive research, or any question requiring multiple independent perspectives; work with the host agent's search tools and optionally add SandBase Tavily, Exa, Scholar, and Cloudsway coverage.
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。
Generate data-backed content briefs by analyzing Google SERP results, competitor content, keyword intent, and audience questions. Produces writer-ready briefs with target queries, required subtopics, recommended format, word count, and competitive differentiation angles.
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。
Plan, implement, or review writing plans work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests writing plans work.
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。
Create, implement, or review video template frame glitch title work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on video template frame glitch title.
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Create, implement, or review video template frame light leak cinema work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on video template frame light leak cinema.
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。
Plan, implement, or review vs code extension localization work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests vs code extension localization work.
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Research competitor advertising strategies through Facebook Ad Library, Google SERP ads, and social media sponsored content. Covers creative analysis, messaging patterns, targeting signals, and campaign frequency for competitive marketing intelligence.
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。
Plan, implement, or review vector index tuning work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests vector index tuning work.
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Plan, implement, or review verification before completion work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests verification before completion work.
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Analyze hiring patterns, job market demand, salary signals, and talent competition across LinkedIn and Apollo. Covers job posting analysis, company hiring velocity, role requirement trends, and competitive talent landscape mapping.
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。
Create, implement, or review seam craft work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on seam craft.
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。
Plan, implement, or review source management work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests source management work.
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Plan, implement, or review spec driven development work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests spec driven development work.
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Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.
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Plan, implement, or review systematic debugging work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests systematic debugging work.
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Create, implement, or review tailwind design system work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on tailwind design system.
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。