'stitch' 검색 결과

Suede-owned marketing attribution discipline. Use when the user wants to figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model, or reconcile conflicting numbers across tools. Also use when the user mentions 'attribution,' 'attribution model,' 'first-touch vs last-touch,' 'multi-touch,' 'which channel drives revenue,' 'what's my real CAC,' 'my dashboards disagree,' 'Google/Meta says X but GA says Y,' 'MMM,' 'incrementality,' 'geo lift,' 'holdout test,' 'how did you hear about us,' 'self-reported attribution,' 'dark social,' or wants to instrument attribution themselves, 'stitch my bookings to their source,' 'SavvyCal/Calendly attribution,' 'close the identify gap,' 'track conversions on a third-party domain,' 'first-party attribution.' NOT FOR: general analytics instrumentation and reporting (use suede-analytics) or revenue-ops pipeline work (use suede-revops).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write a TikTok caption under 2,200 chars (hashtags included), pick a tasteful 3 to 5 hashtag set with mixed reach, and set the platformSettings.tiktok flags (viewer setting, comments, duet, stitch, commercial and branded content). Front-loads a reason to comment, runs the humanizer pass, and publishes the rendered video via Publora on approval. Use to caption a finished video. Not for the in-video hook (use tt-hook-scripter) or scrubbing a script (use tt-humanizer).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user wants to upload or schedule a TikTok video through Publora, with privacy, comment, duet, stitch and commercial-disclosure settings. Video runs 3 seconds to 10 minutes at 23+ FPS; carousels take up to 35 images. Unaudited apps can publish private videos only. Not for Reels (use instagram-post).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Ultimate UI/UX design intelligence: an Anti-Slop layer that kills AI tells (em-dash, AI purple glow, generic names, template layouts), tunable Design Dials (variance/motion/density) and Style Modes (functional, minimalist, brutalist, soft-premium, marketing), 161 industry color palettes in a shadcn-aligned semantic token schema, 48 UX Laws, 37 Design Tests, UX Heuristics (Nielsen + Krug), Harvester extraction, Figma & Google Stitch integration, MCP server, Component Generator, and BM25 search across 17 domains + 19 framework stacks. One command = complete design system. Use when designing or reviewing UI/UX, choosing colors/typography, fixing generic AI-looking designs, or building Web App / SaaS / Mobile screens.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Ultimate Design System Intelligence. Manage, extract, replicate, and improve UI design systems. Extracts design tokens visually from existing sites (Harvester v5), manages multi-page tokens, and utilizes MCP servers like Google Stitch and Pencil.dev to generate complete, consistent design systems (Shadcn UI, Halo, Lunaris, Nitro). Use when the user asks to "extract design from a URL", "create a Shadcn design system", "analyze design tokens", "build a design system for", or "copy the UI style of".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Operate Lark and Feishu work objects from one agent-ready CLI instead of stitching together separate APIs and browser flows.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Converts Stitch designs into modular Vite and React components using system-level networking and AST-based validation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create, fetch, validate, or export DESIGN.md design system files in the Google Stitch 9-section format. Fetch reference designs from 68 brands (Linear, Stripe, Vercel, etc.) via getdesign CLI, generate scaffolds from existing CSS custom properties and Tailwind tokens, or validate and export with the Google @google/design.md CLI. Pairs with minoan-frontend-design for implementation. Triggers on "DESIGN.md", "create design system file", "extract design tokens", "codify the design", "getdesign", "make it look like [brand]", "lint design", "validate DESIGN.md", "export design tokens", "export tailwind theme".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Three-tier video pipeline: ffmpeg Quick (5s, instant) → ffmpeg Enhanced with Ken Burns (15s, polished) → Remotion Animated (60-90s, production-grade). Takes static slides from Paper MCP or any PNGs and assembles them into platform-ready video. Make sure to use this skill whenever the user has slides, images, or PNGs and wants to turn them into video — even if they just say 'make a video from these', 'animate my slides', 'I have images and need a TikTok', or 'stitch these together'. Also use when they mention ffmpeg video assembly, Remotion-animated slide assembly, Ken Burns effects, or any slides-to-video pipeline. Owns the slides→MP4 assembly pipeline; for writing, debugging, or running `remotion render` on Remotion code itself, see /remotion-best-practices; for screen-recorded product demos, see /marketing-demo. Works with any PNG source — Paper exports, Canva, screenshots, anything.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate visual asset briefs, ad copy variants, AI image prompts, video scripts, and storyboards. Full creative production system with 5 specialized modes: product photos, product video, social graphics, talking heads, and ad creative. Make sure to use this skill whenever the user mentions any visual or creative marketing need — ad creative, image prompts, video scripts, thumbnails, banners, social graphics, product photography, storyboards, or marketing visuals of any kind. Even if they just say 'I need images for my campaign' or 'make something visual', this is the skill. Owns thumbnail and banner briefs plus the creative direction. Includes platform-specific dimensions, AI anti-slop techniques, and Remotion composition templates. For rendering the actual image file, see /image-gen; for AI-generated marketing/brand videos, see /higgsfield-generate; for stitching slides into an MP4, see /video-content.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit game level design systems and procedural generation -- BSP room subdivision, Wave Function Collapse tile placement, cellular automata cave generation, Perlin noise terrain, chunk stitching, seed determinism, difficulty scaling curves, pacing rhythm (tension/rest analysis).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Identifies super-enhancers from H3K27ac, MED1, or BRD4 ChIP-seq using ROSE, ROSE2, LILY, HOMER -style super, and ENCODE dELS cross-referencing. Handles peak stitching parameters, ranking choices, hockey-stick inflection, marker choice (H3K27ac vs MED1/BRD4), and cross-condition comparison with spike-in normalization. Constructs core regulatory circuitry (Saint-Andre 2016) from SE-encoded TFs. Use when identifying cell-identity / cancer-associated regulatory domains, comparing super-enhancers between conditions, identifying master transcription factor networks, or predicting BET-inhibitor responsiveness.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill to process one to 99 local exact 2:1 equirectangular panorama images with Realsee Argus, producing depth maps, a merged GLB point cloud, camera poses, optional intrinsics, and a validated local output index. Trigger for Argus panorama reconstruction, Argus ZIP input, or explicit Argus start/status/collect lifecycle requests. Do not trigger for panorama editing or stitching, arbitrary-photo 3D generation, existing GLB inspection, or research-only questions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write an evergreen teaching longform for non-technical readers built from your own real material (systems you run, dated failures, numbers), structured as a stitched lesson that can live as a blog post, a GitHub guide hub and a newsletter issue. Use when turning lived engineering experience into a durable how-to. Triggers: /guide, make a guide, build a lesson, evergreen guide.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Interactively build a Narrative identity graph workflow from one or more first-party datasets and (optionally) third-party data sources. Confirms each input dataset is mapped to the Rosetta Stone graph edge attribute (mapping it via /generate-rosetta-stone-mappings if not), then composes and submits a workflow that unions every edge source and labels connected components. Use when: "build an identity graph", "generate an identity graph", "create an identity graph", "stitch these datasets into a graph", "make a graph workflow", "label connected components on these datasets", "I want a person graph / household graph / device graph". (narrative-identity)

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlays

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Animation, morphing, and shader best practices for Liquid Glass and SwiftUI motion on iOS 26+/macOS 26+ through iOS 27. Use when animating glass or building UI motion: glassEffectID, @Namespace morphing, GlassEffectContainer spacing, glassEffectUnion, glassEffectTransition (.matchedGeometry/.materialize), withAnimation, springs, UnitCurve, PhaseAnimator, KeyframeAnimator, @Animatable, matchedTransitionSource, navigationTransition zoom, scrollTransition, visualEffect, Metal shaders (colorEffect, distortionEffect, layerEffect, [[stitchable]]), accessibilityReduceMotion gating, Instruments/xctrace profiling of hangs and animation hitches. Also fires on symptoms: glass morph not animating, view pops in instead of morphing, glass fades instead of materializing, morph flickers with Reduce Motion, menu glass morphs as a rectangle, animation runs on insert but not removal, PhaseAnimator loops forever or fires once, shader shows clipped edges (maxSampleOffset), animation hitches or main-thread hangs while scrolling glass chrome. For static glass, availability gating, toolbars, UIKit/AppKit glass, or accessibility of the material itself use the liquid-glass skill first.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Turn research into a spoken podcast — script, synthesize, stitch. Use when: podcast, generate a podcast, audio briefing, narrate, or turn this into audio.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Autonomous themed tech-debt cleanup. Reads docs/architecture/debt-ledger.yml, rotates to the least-recently-served debt theme, works it for a time budget (default 2h) or until drained, opens one PR, and asks judgment questions inline at the end. Use for daily debt burndown without Peter pointing at a target: grandfathered analyzer rules, architecture-test baselines, obsolete-field reads, cross-section stitching.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Identifies super-enhancers from H3K27ac, MED1, or BRD4 ChIP-seq using ROSE, ROSE2, LILY, HOMER -style super, and ENCODE dELS cross-referencing. Handles peak stitching parameters, ranking choices, hockey-stick inflection, marker choice (H3K27ac vs MED1/BRD4), and cross-condition comparison with spike-in normalization. Constructs core regulatory circuitry (Saint-Andre 2016) from SE-encoded TFs. Use when identifying cell-identity / cancer-associated regulatory domains, comparing super-enhancers between conditions, identifying master transcription factor networks, or predicting BET-inhibitor responsiveness.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Identifies super-enhancers from H3K27ac, MED1, or BRD4 ChIP-seq using ROSE, ROSE2, LILY, HOMER -style super, and ENCODE dELS cross-referencing. Handles peak stitching parameters, ranking choices, hockey-stick inflection, marker choice (H3K27ac vs MED1/BRD4), and cross-condition comparison with spike-in normalization. Constructs core regulatory circuitry (Saint-Andre 2016) from SE-encoded TFs. Use when identifying cell-identity / cancer-associated regulatory domains, comparing super-enhancers between conditions, identifying master transcription factor networks, or predicting BET-inhibitor responsiveness.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Converts Stitch designs into modular Vite and React components with system-level networking and AST-based validation. Use when translating design exports into production-ready React component architecture.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Migrates REST APIs to GraphQL incrementally with schema stitching, REST datasources, and gradual endpoint migration. Use when users request "migrate to GraphQL", "REST to GraphQL", "GraphQL wrapper", or "API modernization".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.