Validate alignment quality with insert size distribution, proper pairing rates, GC bias, strand balance, and other post-alignment metrics. Use when verifying alignment data quality before variant calling or quantification.
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。
BioTender-max/awesome-bio-agent-skills☆ 2012026年7月2日 更新
Predicts ADMET properties using ADMETlab 3.0 (119 endpoints with uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handling of OECD QSAR principles, applicability domain assessment, calibration, hERG/CYP/AMES gold-standard endpoints, and PAINS / Lipinski / Ro5 / Veber / BBB druglikeness filters. Use when filtering compounds for drug-likeness, prioritizing leads by predicted safety, or building an in-house ADMET QSAR model.
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。
BioTender-max/awesome-bio-agent-skills☆ 2012026年7月2日 更新
Protein design quality control, filtering thresholds, and ranking guidance. 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。
BioTender-max/awesome-bio-agent-skills☆ 2012026年7月2日 更新
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。
BioTender-max/awesome-bio-agent-skills☆ 2012026年7月2日 更新
Solubility-optimized protein sequence design using SolubleMPNN. Use this skill when: (1) Designing for E. coli expression, (2) Optimizing solubility of designed proteins, (3) Reducing aggregation propensity, (4) Need high-yield expression, (5) Avoiding inclusion body formation. For standard design, use proteinmpnn. For ligand-aware design, use ligandmpnn.
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。
BioTender-max/awesome-bio-agent-skills☆ 2012026年7月2日 更新
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
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。
skillmds/skillmd☆ 1982026年10月9日 更新
Implement complete dark mode for any frontend project. Auto-detects theme system (Flutter ThemeData, Tailwind dark class, CSS variables, MUI, Chakra UI, styled-components), generates a dark color palette with proper surface elevation hierarchy and desaturated brand colors, creates a theme toggle with system preference detection and persistence, migrates all hardcoded colors to theme tokens, handles special cases like images, shadows, form inputs, and charts, then verifies WCAG AA contrast ratios for both modes. Use when you need to add dark mode, fix dark theme contrast issues, create a theme switcher, or migrate hardcoded colors to theme-aware tokens.
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。
skillmds/skillmd☆ 1982026年10月9日 更新
CustomShader authoring — vertexShaderText and fragmentShaderText against VertexInput, FragmentInput, FeatureIds, Metadata, czm_modelMaterial. Use when reading EXT_mesh_features or EXT_structural_metadata property textures/tables, vertex displacement, or shading VoxelPrimitive.
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。
CesiumGS/cesiumjs-skills☆ 1892026年9月14日 更新
Use this skill for the architecture phases of an MBSE workflow in MATLAB, when writing idempotent buildXxx.m scripts that produce a three-layer RFLPV architecture (Functional, Logical, Physical) with interface dictionaries, stereotype profiles, allocation sets, and requirements Implement links. Trigger for defining stereotype properties, functional-to-logical / logical-to-physical allocation, mapping requirements to components via slreq Implement links, or running quantitative roll-up analysis on the architecture. Do NOT trigger for ad-hoc structural edits to an already-built System Composer model (adding one component, rewiring a port) — use `building-simulink-models` with `model_edit` for that. Works alongside the `system-composer` skill for detailed SC API patterns.
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。
matlab/agent-skills-playground☆ 1862026年10月10日 更新
Generates MLS-ready property listing descriptions with attention-grabbing headlines, feature highlights, neighborhood context, and SEO keywords across multiple buyer-persona styles
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。
zubair-trabzada/ai-realestate-claude☆ 1822026年4月30日 更新
Commercial Property Analysis — NOI, cap rate, expense ratio, tenant mix, vacancy, debt coverage, replacement cost, and lease analysis with Commercial Score (0-100)
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。
zubair-trabzada/ai-realestate-claude☆ 1822026年4月30日 更新
Finds and analyzes 5-10 comparable recent sales to estimate fair market value, calculate price adjustments, and score the property's value proposition
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。
zubair-trabzada/ai-realestate-claude☆ 1822026年4月30日 更新
Estimates rental income from comparable rentals, builds a full expense model, calculates cash flow and key investment metrics across conservative, moderate, and optimistic scenarios
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。
zubair-trabzada/ai-realestate-claude☆ 1822026年4月30日 更新
Evaluates a property across three investment strategies — Buy & Hold, BRRRR, and Fix & Flip — with feasibility scores, multi-year projections, tax benefits, and break-even analysis
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。
zubair-trabzada/ai-realestate-claude☆ 1822026年4月30日 更新
Creates new Source of Truth (SoT) files when existing templates don't fit your needs. Triggers on requests to create a new SoT file, add a new artifact type, or when user says "I need to track [X] but there's no SoT for it", "create SoT", "new source of truth". Outputs a properly structured SoT.*.md file with ID prefix, frontmatter, and update protocol.
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。
mattgierhart/PRD-driven-context-engineering☆ 1812026年8月31日 更新
Write and maintain high-quality Swift DocC documentation for the TMDb package, following its established `///` conventions. Use when adding or changing any public declaration (protocol, class, struct, enum, actor, model, property, initializer, method, typealias) and when keeping the DocC catalog in sync. This is the single source of truth for the project's documentation style — applied inline as you write, and followed by the `documentation-writer` agent for bulk sweeps.
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。
adamayoung/TMDb☆ 1772026年10月13日 更新
Designs database schemas with proper normalization, indexing, constraints, and tenant isolation patterns. Use when someone needs to create a new database schema, add multi-tenant support, design row-level security policies, or optimize table structures. Trigger words: database schema, table design, RLS, row-level security, foreign keys, indexes, migrations, ERD, data model, normalization.
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。
TerminalSkills/skills☆ 1662026年10月14日 更新
Build custom Blender add-ons with Python. Use when the user wants to create a Blender add-on, register operators, build UI panels, add custom properties, create menus, package an add-on for distribution, or extend Blender with custom tools and workflows.
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。
TerminalSkills/skills☆ 1662026年10月14日 更新
Animates 3D objects and characters in Blender with Python (bpy): keyframes, armatures and IK rigs, shape keys, F-Curves, the NLA editor and drivers. Use when the user wants to keyframe properties, create armatures and rigs, set up IK/FK chains, animate shape keys for facial animation, edit F-Curves, blend actions with NLA strips, add drivers, or script any animation workflow in Blender from the terminal.
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。
TerminalSkills/skills☆ 1662026年10月14日 更新
Censys search engine for internet-connected hosts, TLS certificates, and web properties. Use when: certificate transparency monitoring, finding hosts by certificate fingerprint, alternative to Shodan for TLS/SSL analysis, discovering hosts running specific services, or tracking infrastructure changes via cert issuance.
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。
TerminalSkills/skills☆ 1662026年10月14日 更新
Audit web pages and components for WCAG 2.2 accessibility compliance. Use when a user asks to check accessibility, find a11y issues, audit for WCAG compliance, fix screen reader problems, check color contrast, ensure keyboard navigation works, or prepare for accessibility regulations like the European Accessibility Act or ADA.
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。
TerminalSkills/skills☆ 1662026年10月14日 更新
World-class application logging - structured logs, correlation IDs, log aggregation, and the battle scars from debugging production without proper logsUse when "log, logging, logger, debug, trace, audit, structured log, correlation id, request id, log level, winston, pino, bunyan, log4j, logging, observability, debugging, monitoring, tracing, structured-logs, correlation, aggregation" 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。
omer-metin/skills-for-antigravity☆ 1652026年1月22日 更新
Use when designing space missions, computing launch windows, optimizing trajectories, analyzing payload constraints, or planning mission phases and contingencies. Use when "mission design, launch window, trajectory optimization, mission timeline, mass budget, propellant budget, mission phases, porkchop plot, C3, gravity assist, low thrust, mission architecture, LEO, GEO, interplanetary, " 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。
omer-metin/skills-for-antigravity☆ 1652026年1月22日 更新
GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully. 2025 lesson: GraphQL isn't always the answer. For simple CRUD, REST is simpler. For high-performance public APIs, REST with caching wins. Use GraphQL when you have complex data relationships and diverse client needs. Use when "graphql, graphql schema, graphql resolver, apollo server, apollo client, graphql federation, dataloader, graphql codegen, graphql query, graphql mutation, graphql, api, apollo, schema, resolvers, dataloader, federation, typescript" 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。
omer-metin/skills-for-antigravity☆ 1652026年1月22日 更新