Total 42,042 skills
Showing 12 of 42042 skills
bkend.ai file storage expert skill. Covers single/multiple/multipart file upload via Presigned URL, file download (CDN vs Presigned), 4 visibility levels (public/private/protected/shared), bucket management, and file metadata. Triggers: file upload, download, presigned, bucket, storage, CDN, image, 파일 업로드, 다운로드, 버킷, 스토리지, 이미지, ファイルアップロード, ダウンロード, バケット, ストレージ, 文件上传, 下载, 存储桶, 存储, carga de archivos, descarga, almacenamiento, cubo, telechargement, televersement, stockage, seau, Datei-Upload, Download, Speicher, Bucket, caricamento file, scaricamento, archiviazione, bucket Do NOT use for: database operations (use bkend-data), authentication (use bkend-auth).
Organic social media growth coach using the Post Bridge methodology (500M+ views, 132K+ downloads, $33K+ revenue). Act as a personalized growth coach for apps, products, and businesses seeking organic traffic from TikTok and Instagram short-form video. Use when users ask about growing on TikTok/Instagram, creating viral content, getting more views organically, converting social media views to app downloads or customers, warming up new social accounts, finding winning content formats, or scaling organic social media presence. Also use when users need help with social media bios, content-market fit, trend riding, or building a repeatable content system without paid ads.
Responsive UI transformation patterns for Tailwind CSS applications. This skill should be used when making interfaces responsive, refactoring layouts for multiple screen sizes, or reviewing responsive Tailwind code. Triggers on tasks involving breakpoint strategy, layout adaptation, responsive spacing, fluid typography, mobile navigation, touch interaction, responsive media, or data table responsiveness.
STRICT pixel-perfect Figma to Storybook workflow with ENFORCED extraction and iterative component implementation. MANDATORY: Extract exact design → Implement → Iterate until perfect → Move to next. NO shortcuts, NO assumptions, NO batch processing. Use when implementing Figma designs as Storybook components with 100% accuracy requirement.
bkend.ai platform onboarding and core concepts guide. Covers MCP setup, resource hierarchy (Org->Project->Environment), Tenant vs User model, and first project creation. Use proactively when user is new to bkend or asks about initial setup. Triggers: bkend setup, first project, bkend start, MCP connect, bkend 시작, 처음, 설정, MCP 연결, 프로젝트 생성, bkend始め方, 初期設定, MCP接続, bkend入门, 初始设置, MCP连接, configuracion bkend, primer proyecto, configuration bkend, premier projet, bkend Einrichtung, erstes Projekt, configurazione bkend, primo progetto Do NOT use for: specific database/auth/storage operations (use domain-specific skills), enterprise infrastructure (use infra-architect).
Transform webinar recordings into multiple content assets including blog post series, social media snippets, infographic ideas, email sequences, and sales one-pagers. Extracts key moments, quotes, and insights for maximum content ROI. Use when users need to repurpose webinars, video content, or live presentations into multi-channel marketing materials.
Review code for quality, security, and performance with comprehensive feedback.
Generate and update structured documentation from project data sources. Supports initial generation and modification of existing documents. Use this skill when users request creating, generating, updating, or modifying documentation.
Update the API reference documentation by downloading the latest OpenAPI spec from production and regenerating the Docusaurus API docs
Commit and push in one step. Use when user says "/cp", "commit and push", "커밋하고 푸시", "커밋 푸시", or wants to stage, commit, and push changes in a single action. Optionally accepts a commit message as argument.
Translate Doc-Smith generated documentation into multiple languages. Use this skill when the user requests document translation, localization, or multi-language support. Supports batch translation of documents and images.
Use this when the user explicitly requests to "verify/optimize in-text citations of the `{topic}_review.tex` review" or to "run check-review-alignment". Use the host AI's semantic understanding to verify each citation against the literature content one by one. **Only when fatal citation errors are found**, make minimal rewrites to the "sentences containing citations", and reuse the rendering script of `systematic-literature-review` to output PDF/Word (the script does not directly call the LLM API locally). Core principle: **Do not modify for the sake of modifying**. When it is uncertain whether it is a fatal error, keep the original content and issue a warning in the report. ⚠️ Not applicable in the following cases: - The user only wants to generate the main body of a systematic review (should use systematic-literature-review) - The user only wants to add/verify BibTeX entries (should use a dedicated bib management process)