Explorar skills

Remotion 기반 React 코드로 영상 제작. 프로젝트 셋업, 영상 컴포넌트 생성, 애니메이션, 렌더링. /video-maker로 실행.

Map identified threats to appropriate security controls and mitigations. Use when prioritizing security investments, creating remediation plans, or validating control effectiveness.

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,

Visma Nmbrs integration via Apideck's HRIS unified API — same methods work across every connector in HRIS, switch by changing `serviceId`. Use when the user wants to read or sync employees, departments, payrolls, and time-off records in Visma Nmbrs. Routes through Apideck with serviceId "nmbrs".

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

Recruitee integration via Apideck's ATS unified API — same methods work across every connector in ATS, switch by changing `serviceId`. Use when the user wants to read, write, or sync jobs, applicants, and applications in Recruitee. Routes through Apideck with serviceId "recruitee".