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Found 742 Skills
Generate platform-specific social post variants (Twitter, LinkedIn, Reddit) from one source input using a local Node.js script with no API dependency.
This skill should be used when the user asks to "recolor the Sablier icon", "Sablier icon in orange", "Sablier logo in primary color", "generate Sablier hourglass variant", "change Sablier icon color", "export Sablier icon as PNG", or "generate Sablier favicon". Generates a gradient or flat Sablier icon SVG in any color using brand palette names, hex values, or CSS color names, with optional PNG/JPG/ICO raster export.
Alba serializers + Typelizer for type-safe Inertia Rails props with auto-generated TypeScript types. Use when serializing models for Inertia responses, setting up Alba resources, generating TypeScript types from Ruby, or using Inertia prop options (defer, once, merge, scroll) with Alba attributes. Replaces as_json with structured, auto-typed ApplicationResource, page resources, and shared props resources. When active, OVERRIDES the `render inertia: { ... }` pattern from other skills — use convention-based instance variable rendering instead.
ALWAYS `render inertia: { key: data }` to pass data as props — instance variables are NOT auto-passed (only alba-inertia does that). Rails controller patterns for Inertia.js: render inertia, prop types (defer, optional, merge, scroll), shared data, flash, PRG redirects, validation errors. Use when writing controllers that load data, display records, or serve Inertia responses. CRITICAL: external URLs (Stripe/OAuth) MUST use inertia_location, NEVER redirect_to.
Set up Inngest in a TypeScript project. Install the SDK, create a client, configure environment variables, serve endpoints or connect as a worker, and run the local dev server.
Consulta IPC de Argentina con la serie de inflacion mensual desde Anduin API. Usar cuando el usuario pida "inflacion argentina", "ipc argentina", "inflacion mensual", "ultimo dato de inflacion", "serie historica de inflacion", "inflacion por fecha", "inflacion por periodo" o "variacion mensual ipc".
How to add or modify Next.js experimental feature flags end-to-end. Use when editing config-shared.ts, config-schema.ts, define-env-plugin.ts, next-server.ts, export/worker.ts, or module.compiled.js. Covers type declaration, zod schema, build-time injection, runtime env plumbing, and the decision between runtime env-var branching vs separate bundle variants.
Implementation workflows and decision trees for Jinja templates in ERPNext/Frappe. Use when determining HOW to implement Print Formats, Email Templates, Portal Pages, or custom Jinja methods. Covers template type selection, context variables, styling, and V16 Chrome PDF rendering. Triggers: create print format, email template, portal page, custom jinja filter, print format styling, pdf template, invoice template, report template.
Guidance on Python code style optimization and Pythonic idioms; Based on the complete content of *One Python Craftsman* and the "Friendly Python" concept, covering variable naming, control flow, data types, container types, function design, exception handling, decorators, file operations, and SOLID principles; Providing user-friendly and maintainer-friendly design patterns, review checklists, and over 140 practical templates
Design-to-code pipeline: extract copy from URLs, extract design tokens from images, then build React components or HTML preview variants. Use when: extracting content from websites, extracting design systems, generating frontend code, previewing design variants, sending to Figma via MCP. Triggers on "extract copy", "extract design", "build frontend", "generate variants", "export design", "send to Figma".
Comprehensive patient stratification for precision medicine by integrating genomic, clinical, and therapeutic data. Given a disease/condition, genomic data (germline variants, somatic mutations, expression), and optional clinical parameters, performs multi-phase analysis across 9 phases covering disease disambiguation, genetic risk assessment, disease-specific molecular stratification, pharmacogenomic profiling, comorbidity/DDI risk, pathway analysis, clinical evidence and guideline mapping, clinical trial matching, and integrated outcome prediction. Generates a quantitative Precision Medicine Risk Score (0-100) with risk tier assignment (Low/Intermediate/High/Very High), treatment algorithm (1st/2nd/3rd line), pharmacogenomic guidance, clinical trial matches, and monitoring plan. Use when clinicians ask about patient risk stratification, treatment selection, prognosis prediction, or personalized therapeutic strategy across cancer, metabolic, cardiovascular, neurological, or rare diseases.
Integrate and analyze multiple omics datasets (transcriptomics, proteomics, epigenomics, genomics, metabolomics) for systems biology and precision medicine. Performs cross-omics correlation, multi-omics clustering (MOFA+, NMF), pathway-level integration, and sample matching. Coordinates ToolUniverse skills for expression data (RNA-seq), epigenomics (methylation, ChIP-seq), variants (SNVs, CNVs), protein interactions, and pathway enrichment. Use when analyzing multi-omics datasets, performing integrative analysis, discovering multi-omics biomarkers, studying disease mechanisms across molecular layers, or conducting systems biology research that requires coordinated analysis of transcriptome, genome, epigenome, proteome, and metabolome data.