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SQLModel and async SQLAlchemy patterns. Use when working with database models, queries, relationships, or debugging ORM issues.

Prioritizes rare-disease variants from trio/quad WES/WGS with de novo (DeNovoGear, Triodenovo), compound-heterozygous phasing (WhatsHap), mosaic VAF tiering, phenotype-driven ranking (Exomiser, Phen2Gene, AMELIE), ClinGen gene-disease validity gating, and ACMG SF v3.2 secondary findings reporting. Use when running diagnostic exome / genome pipelines, identifying candidate Mendelian disease genes,

Processa e-mails recebidos para o Unite-Hub, extraindo dados do remetente, identificando intenções de comunicação, vinculando a contatos do CRM, analisando o sentimento e atualizando registros de contato com insights de IA.

Best practices for writing, reviewing, and refactoring React Flow / @xyflow/react v12 canvases. Use when work touches React Flow components, custom nodes, custom edges, handles, node data typing, viewport controls, MiniMap/Background/Panel usage, NodeToolbar, NodeResizer, or workflow-builder review tasks.

Creates sashimi-style plots showing RNA-seq read coverage and splice junction counts using ggsashimi (general-purpose, condition-grouped overlays), rmats2sashimiplot (rMATS-output-aware), MAJIQ-VOILA (LSV posteriors interactive HTML), leafviz (leafcutter clusters Shiny), Jutils (tool-agnostic heatmaps and sashimi for rMATS/leafcutter/SUPPA2/MAJIQ output), or pyGenomeTracks (multi-track publication

Deep expertise in Logseq's Datascript database schema. Auto-invokes when users ask about Logseq DB schema, Datascript attributes, built-in classes, property types, entity relationships, schema validation, or the node/block/page data model. Provides authoritative knowledge of the DB graph architecture.

Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.

Advanced skill creation system for Claude Code that combines deep intent analysis, evidence-based prompting principles, and systematic skill engineering. Use when creating new skills or refining existing skills to ensure they are well-structured, follow best practices, and incorporate sophisticated prompt engineering techniques. This skill transforms skill creation from template filling into a str

Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, scree

Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.

Gere vídeos com IA usando Google Veo, Seedance, Wan, Grok e mais de 40 outros modelos via CLI inference.sh. Esta skill oferece text-to-video, image-to-video, lipsync e animação de avatares para mídias sociais, marketing e demonstrações de produtos.

Security scanning via clearwing — source code vulnerability hunting and network pentesting.