2.7만건 · 관련도순
Configure Django file storage on AWS S3 using django-storages and boto3. Separate public and private files, create temporary download or upload links, configure CloudFront delivery, and test storage behavior without accessing real S3 buckets.
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Set up model training with torchforge for reinforcement learning, where rewards guide improvement. Covers training configurations, custom reward and loss functions, and distributed execution with Monarch and TorchTitan, keeping algorithm experiments separate from infrastructure concerns.
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PyTorch 모델과 학습 코드 작성 및 검토를 돕습니다. 데이터 로딩, 실험 재현성, 학습 상태 저장과 복원, GPU 메모리 및 속도 개선을 다룹니다.
Build and debug Apify Actors, cloud programs for web scraping, automation, and data processing. Get guidance on language templates, input and output schemas, runtime code, local testing, and deployment, with practices for handling credentials and external data.
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Audit Azure Storage settings for public containers, encryption, access permissions, network restrictions, and logging gaps. Use command-line checks and monitoring alerts to produce findings and remediation guidance across subscriptions.
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The art and science of narrative-driven brand communication. This skill transforms brand messages into compelling stories that connect emotionally, build memory, and drive action. In a world of infinite content, story is the only thing that cuts through. Great brands don't sell products—they tell stories. Apple tells the story of creative rebels. Nike tells the story of human potential. Patagonia tells the story of environmental stewardship. This skill teaches you to find, craft, and tell your brand's story across every touchpoint. AI amplifies storytelling capability—generating variations, adapting across channels, maintaining consistency—but the human insight that identifies the true story remains essential. This skill bridges narrative craft with AI execution. Use when "story, storytelling, narrative, brand story, origin story, hero journey, emotional connection, customer story, testimonial, case study, brand film, about us, storytelling, narrative, brand-story, emotional, hero-journey, content" mentioned.
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Search TikTok e-commerce creator leaderboards via Kalodata and query detailed profiles for specific creators. Supports viewing top-performing influencer-sellers by region, currency, language, and date range, and using creatorId to retrieve follower count, video/live revenue and GPM, contact information, and associated shops. Trigger when users mention TikTok creator search, TikTok creator ranking, TikTok influencer leaderboard, TikTok creator detail, TikTok creator profile, creator homepage data, creator contact info, TikTok creator search, TikTok creator ranking, TikTok influencer leaderboard, TikTok creator detail, creator analytics, kalodata creator search/detail. Even if the user does not explicitly mention "kalodata", trigger this skill whenever their need involves viewing TikTok creator leaderboards or detailed sales performance data for a specific TikTok creator.
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/nix/store 配下の store path・ファイルを特定するときに必ず参照する。`find /nix/store` で名前を総当たりする前に読む。「あのパッケージの store path が知りたい」「nix-unit のバイナリはどこ」「flake input の実体パスを知りたい」「derivation の出力パスを取りたい」「store の中のこのファイルを探したい」「store path が実在するか確かめたい」といった場面が対象。/nix/store は数万エントリあり深さ無制限の find は完了しない（実測: 20秒でも終わらず出力ゼロ）。同梱の collect_store_lookup.sh が入力の種別判定・一意な解決・候補収集・実在確認までを決定論的に行うので、まずそれを実行してから分析する。nix-locate が返す path はローカルに存在しないことがあるという反直感的な挙動も、データとして検出される。
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Paperclip 화면 변경을 Storybook, 운영용 소스, 기존 브라우저 테스트로 확인합니다. 렌더링, 조작, 시각적 비교, 운영 환경 검증 결과를 나누어 보고합니다.
Upgrade an existing Storybook installation to version 11.0 or later using the official upgrade guide. If the latest stable release is below 11.0, the skill uses the 11.0 alpha, a prerelease version.
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Build Storybook page stories for SigNoz by mapping API requests, display states, and URL parameters. Use msw mock responses, which simulate API replies, and controls to inspect loading, errors, permissions, and other page states.
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Guides reinforcement learning, where models learn from rewards, using torchforge and PyTorch. Covers reward design, custom loss functions, and distributed training so researchers can experiment with algorithms while keeping infrastructure concerns separate.
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Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate from other vector databases. Do NOT use for: querying tabular data (use querying-data-lake), S3 object storage, or hundreds/thousands of sustained QPS (use OpenSearch).
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Search TikTok e-commerce store leaderboards via Kalodata and query detailed information for specific stores. Supports viewing high-ranking, high-sales TikTok Shop stores by region, currency, language, and date range, and using shopId to retrieve revenue, sales volume, on-sale product count, self-operated/affiliate/shopping mall channel revenue, and creator collaboration count. Trigger when users mention TikTok store ranking, TikTok shop leaderboard, TikTok top shops, TikTok store ranking, TikTok Shop store ranking, kalodata store search, kalodata store ranking, TikTok store detail, TikTok shop profile, store revenue, store sales, TikTok shop ranking, TikTok shop leaderboard, TikTok top shops, TikTok store ranking, TikTok shop detail, TikTok store detail, kalodata shop search/detail. Even if the user does not explicitly mention "kalodata", trigger this skill whenever their need involves viewing TikTok store leaderboards or detailed data for a specific TikTok store.
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NestJS decorator usage: built-in route/param/class decorators, custom decorators via `createParamDecorator` and `SetMetadata`, metadata reflection via `Reflector`. Apply when designing controllers, guards, interceptors, or custom decorators. Use this skill to: - Pick the right built-in decorator for routes, params, and DI. - Compose decorators (`@UseGuards(A, B) @UseInterceptors(C)`). - Build custom param decorators (e.g., `@CurrentUser()`). - Use metadata for role-based logic (Reflector + SetMetadata). - Avoid common decorator mistakes. Do NOT use this skill for: - General module/DI patterns (see nest-conventions). - GraphQL-specific decorators (see nest-advanced). - ORM entity decorators (see nest-data-layer).
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Swift 6.2 마이그레이션과 동시성 설계를 돕습니다. MainActor로 상태를 보호하고 데이터 경쟁 컴파일 오류, 프로토콜 준수, 고부하 계산의 명시적 백그라운드 실행을 다룹니다.
Kotlin과 Ktor로 HTTP 서버를 만드는 구현 예시를 제공합니다. API 라우트, 인증, JSON 변환, 구성 요소 조립, 통신과 테스트를 정리합니다.
이전에 저장한 작업 상태를 읽어 중단한 지점부터 이어갈 수 있도록 맥락을 복원합니다. 현재 브랜치를 우선하며 다른 브랜치와 Conductor 작업 공간 인계도 지원합니다.
Paperclip의 Storybook 예시를 실제 제품 UI와 기능 목록에 대조합니다. 데이터·분류·참조를 정리하고 현재 기능의 예시, 시제품, 과거 예시를 구분합니다.
Control a running iOS Simulator on macOS from Orca’s live device pane. Perform taps, gestures, typing, button presses, and rotation, and inspect the interface element hierarchy to check app changes in the simulator.
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Upgrade an existing Storybook installation to version 11.0 or later using the official upgrade instructions. When the latest stable release is below 11.0, the skill directs the agent to use the 11.0 alpha release.
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Update all Storybook packages in a project to a chosen release or canary, an early development build. Use it to test changes in external apps, reproduce bugs, and keep package versions aligned while handling peer dependencies.
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Plan product listings across startup, SaaS, AI, and MCP directories. Assess launch readiness, choose relevant sites, prepare tailored descriptions, and track submissions, published links, and referral results in a structured workflow.
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Develop and debug CopilotKit Inspector interfaces in a dedicated local workbench. It guides baseline screenshots, visual checks after each change, and additional narrow-screen or theme checks when layout or contrast is involved.
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