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Found 1,260 Skills
Query Catalog, database, and table metadata resources in Alibaba Cloud Data Lake Formation (DLF). Provides read-only queries via the DLF OpenAPI Python SDK, supporting listing and viewing Catalogs, databases, tables with their detailed information and Schema definitions. Use cases: "list available Catalogs", "list databases", "view table schema", "search tables", "search tables by name", "fuzzy search", "view DLF metadata", "what databases are in the data lake", "what columns does a table have", "find tables whose name contains xxx". This Skill only contains read-only operations — no create, modify, or delete operations.
QLC+ (Q Light Controller Plus) lighting software — workspace files (.qxw), scenes, chasers, sequences, collections, EFX, RGB matrices, fixture definitions (.qxf), Virtual Console, and timing calculations. Use this skill whenever the user is working with QLC+ workspace XML, creating/editing scenes/chasers/shows, debugging timing or crossfade issues, generating fixture definitions, setting up Virtual Console widgets (cue lists, solo frames, buttons, sliders), troubleshooting HTP/LTP conflicts, fixing corrupted .qxw files, configuring QLC+ plugins (DMX USB, Art-Net, MIDI, E1.31), or asking any question where QLC+ is the software being used. Also trigger for SpeedModes, FadeIn/Hold/Duration, FixtureVal, RunOrder, or QLC+ function types. Do NOT trigger for general DMX hardware questions without QLC+ context, fixture buying advice, DAW-only questions, or custom protocol implementations.
Gerente do ciclo de vida de stories e orquestrador de handoffs no SynkOS. Use esta skill quando o usuário pedir para decompor um épico em stories, criar stories com critérios de aceite, fazer backlog grooming, planejar sprint, orquestrar handoffs entre roles (architect → dev → qa), ou fazer perguntas como "quebre esse épico em stories", "crie a story para X", "o backlog está priorizado?", "faça o checkpoint da story Y", "orquestre o handoff para QA". Ative também para resolver dependências entre stories, escalar stories bloqueadas, e garantir que cada story tem ownerRole e reviewRole definidos antes de entrar em implementação.
Designs and documents structured incident response playbooks that define step-by-step procedures for specific incident types aligned with NIST SP 800-61r3 and SANS PICERL frameworks. Covers playbook structure, decision trees, escalation criteria, RACI matrices, and integration with SOAR platforms. Activates for requests involving IR playbook creation, incident response procedure documentation, response runbook development, or SOAR playbook design.
Redis security guidance covering authentication (requirepass and ACL users), TLS, ACL-based least-privilege access control, restricting network exposure via bind and protected-mode, firewall rules, and disabling dangerous commands. Use when deploying Redis to production, defining ACL users for an application, configuring TLS connections, locking down a Redis instance behind a firewall, or auditing a Redis deployment for security hardening.
Map relationships between bounded contexts and define integration contracts using DDD context mapping patterns.
Define component variants and states systematically for Figma. Use when asked to plan component variants, define states for a component, set up a Figma variant matrix, or work out what properties a component needs before building it. Produces a complete variant matrix with all properties, values, and combinations needed.
Search Mobbin for real app UI screenshots and visually analyze them. Required before calling the `search_screens` MCP tool — this skill defines how to plan searches, respond, and build HTML evidence boards when the screens are the answer. Use whenever the user asks about UI/UX design patterns, wants to see how other apps handle a screen or flow, needs design inspiration or references, asks to compare UI approaches across apps, mentions Mobbin, or whenever `search_screens` would be relevant. Trigger aggressively for any design-related question — even if screenshots aren't explicitly requested.
Build clinical/healthcare deep-learning pipelines with PyHealth — loading EHR/signal/imaging datasets (MIMIC-III/IV, eICU, OMOP, SleepEDF, ChestXray14, EHRShot), defining tasks (mortality, readmission, length-of-stay, drug recommendation, sleep staging, ICD coding, EEG events), instantiating models (Transformer, RETAIN, GAMENet, SafeDrug, MICRON, StageNet, AdaCare, CNN/RNN/MLP), training with the PyHealth Trainer, computing clinical metrics, and using medical code utilities (ICD/ATC/NDC/RxNorm lookup and cross-mapping). Use this skill whenever the user mentions PyHealth, MIMIC, eICU, OMOP, EHR modeling, clinical prediction, drug recommendation, sleep staging, medical code mapping, ICD/ATC codes, or any healthcare ML pipeline that fits the dataset → task → model → trainer → metrics pattern, even if "PyHealth" isn't named explicitly.
Crea o actualiza tareas técnicas (TK-XXX) asociadas a una historia de usuario existente. Activar cuando el usuario solicite planificar implementación, descomponer trabajo, definir alcance técnico, estructurar subtareas o documentar especificaciones técnicas sin generar código ni pruebas. Activar también — por defecto — cuando el usuario solo entregue una referencia a una historia (p. ej. «US-004», «planifica US-007», «tareas para esta historia») — en ese caso el propósito es proponer stubs agrupados por unidad de trabajo que cubran los escenarios (SC-XX) y consideren las reglas de negocio (BR-XX) de la US, sin redactar TKs completas.
AWS CloudFormation patterns for ECS clusters, services, and task definitions. Use when creating ECS infrastructure with CloudFormation, configuring container definitions, scaling policies, service discovery, load balancing integration, and implementing template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and blue/green deployments with CodeDeploy.
Core package for defining schemas, catalogs, and AI prompt generation for json-render. Use when working with @json-render/core, defining schemas, creating catalogs, or building JSON specs for UI/video generation.