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Found 652 Skills
Customer feedback, NPS, CSAT, CES, Voice of Customer strategy across platforms — survey design, response rate optimization, closed-loop feedback, text analytics, benchmarking, program governance. Use when NPS scores are stagnant, survey response rates are low, feedback isn't driving action, unsure which CX metric to use, need to design a VoC program, comparing feedback tools (Medallia vs Qualtrics vs SurveyMonkey vs Typeform), or customers feel over-surveyed. Do NOT use for product review collection like Trustpilot or G2 (use /sales-customer-reviews) or in-app message surveys (use /sales-in-app-messaging).
Production recipes for GSAP SVG animations. Companion to official gsap-plugins skill (API reference). Triggers: SVG animation, GSAP SVG, path drawing, strokeDashoffset, DrawSVG, drawSVG, SVG morph, MorphSVGPlugin, circuit tree, circuit board, CTAHud, HUD animation, pulse ring, scallop wave, SVG stagger, SVG fill, SVG stroke, SVG cleanup, feGaussianBlur, SVG glow, SVG blink, shape overlay, page transition, section transition, smooth morph, morph interpolation, dynamic morphing, SVG curtain, shape transition. Non-triggers: Not for text animation (use gsap-text), scroll reveals without SVG (use gsap-scroll), mouse interactions (use gsap-interact), or non-SVG visual effects (use gsap-vfx). Outcome: Produces SVG animations — path drawing, morphing, circuit board patterns, HUD systems, pulse rings, and scallop waves.
7 education research skills. Trigger: pedagogical research, course design, learning analytics, assessment. Design: evidence-based teaching methods and educational measurement tools.
Configurable gate validation skill. Use when running repository-local gate rules from gate_rules.yaml (command/structural/eda-contract), checking legacy experiment registry safety, or enforcing close-gate fail-closed validation.
Generate and edit images using Google's Gemini image generation models (Nano Banana family). Supports style presets, platform-specific sizing (YouTube/slides/blog), variants, image editing via inlineData, reference images for style transfer, and organized output with metadata. Default model is Nano Banana 2 (gemini-3.1-flash-image-preview). Key is auto-decrypted via SOPS.
Configure Shadcn UI theme and color schemes (ShadThemeData, ShadColorScheme), override colors, use ShadColorScheme.fromName for theme switchers, and add custom colors. Use when theming a Flutter shadcn_ui app, changing color scheme, or adding custom theme colors.
Turn approved storyboard logic, beat sheets, or prompt plans into provider-ready short-form video requests. Use this when the segment structure is already known and you need a model-agnostic request architecture that can later map cleanly into Seedance or other video generators.
Alicloud CMS Dataset lifecycle management and querying skill. Covers listing, inspecting, creating, updating, deleting datasets and executing dataset queries via the aliyun CLI (CMS API version 2024-03-30). Triggers: "CMS dataset", "数据集", "创建数据集", "查询数据集", "dataset 查询", "ExecuteQuery", "CreateDataset", "GetDataset", "ListDatasets", "UpdateDataset", "DeleteDataset".
Render A2UI (Agent-to-UI declarative surfaces) in CopilotKit v2. Enable the runtime via CopilotRuntime({ a2ui: {...} }), then enable the provider via <CopilotKitProvider a2ui={{ theme }}>. Auto-activates via /info — do NOT manually pass renderActivityMessages. createA2UIMessageRenderer ships from @copilotkit/react-core/v2; low-level primitives (A2UIProvider, A2UIRenderer, createCatalog) ship from @copilotkit/a2ui-renderer. Covers theme customization, createSurface dedup, action-bridge try/finally cleanup. Load when an agent emits A2UI operations (createSurface / updateComponents / updateDataModel), when wiring a2ui on CopilotRuntime, or when styling A2UI surfaces.
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.
Validar prompts dirigidos a agentes de IA (Claude Code, Cursor, Copilot, etc.) contra reglas de redacción efectiva. Calcular un porcentaje de efectividad del prompt y devolver sugerencias de mejora concretas, más una propuesta de prompt reescrito. Cubre verbos no imperativos, lenguaje conversacional, acciones vagas, términos subjetivos, alcance difuso, prohibiciones implícitas, intenciones múltiples y nombres genéricos. Las reglas de detalle técnico (alcance, nombres exactos) se aplican solo a prompts de implementación; en prompts funcionales (user stories, descripciones de comportamiento) se marcan N/A. Usar siempre que el usuario pida validar, revisar, auditar, mejorar, corregir o "pulir" un prompt antes de enviarlo a un agente, o cuando pegue un prompt y pida feedback sobre cómo está redactado.
Prepend a 4s viral hook + optional designed title to a user's video, then hard-cut into the real clip. An attention-grabbing event erupts into the user's OWN scene; the title is rendered in-scene by Seedance. One MCP call does the whole render. Requires Pika MCP. Triggers: "add a viral hook", "disruption hook on my video", "hook + title on my clip", "viral hook with typography", "scroll-stopper intro".