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Found 5,504 Skills
Provides systematic approaches for solving constraint-based scheduling problems, such as finding meeting times that satisfy multiple participant availability windows, preferences, and existing calendar conflicts. This skill should be used when tasks involve scheduling with constraints, calendar conflict resolution, time slot optimization, or finding valid time windows across multiple inputs with hard and soft constraints.
Expert UI/UX designer for React applications with shadcn/ui and Tailwind CSS. **ALWAYS use when creating UI components, implementing responsive layouts, or designing interfaces.** Use when user needs component creation, design implementation, responsive layouts, accessibility improvements, dark mode support, or design system architecture. Examples - "create a custom card component", "build a responsive navigation", "setup shadcn/ui button", "implement dark mode", "make this accessible", "design a form layout".
This skill should be used when the user asks to "use the oracle" or "ask the oracle" for deep research, analysis, or architectural questions. The oracle excels at multi-source research combining codebase exploration and web searches, then synthesizing findings into actionable answers. Use for complex questions requiring investigation across multiple sources, architectural analysis, refactoring plans, debugging mysteries, and code reviews.
This skill should be used when reviewing pull requests, performing comprehensive code review, analyzing code changes before merge, or when the user asks for thorough/ultra-critical code review. Performs EXTREMELY CRITICAL 6-pass analysis identifying runtime failures, code consistency issues, architectural problems, environment compatibility risks, and verification strategies. Posts structured review as GitHub PR comment. Use when user asks to "review PR", "review this code", "review changes", "check this PR", "analyze PR", "post review", or for Phase 3 of devflow. Supports parallel review mode with multiplier (code-review-3, code-review 6X) for consensus-based reviews. This is an ultra-critical reviewer that does not let things slip and desires only perfection.
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).
Transform raw content (text/URL) into structured learning documents with 6-phase framework combining AI analysis + reflection prompts. Use when the user wants to deeply understand content, create study notes, or learn from articles/books/documents. Triggers on "learn this", "deep learn", "study this", "tạo tài liệu học", "phân tích nội dung", "hiểu sâu", or "deep learner".
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)
End-to-end workflow for TypeScript db-core modules: discover schema/model inputs, run DB/document/DAO generation, scaffold DB/document converters, and scaffold procedures with capability-aware validation and safe persistence boundaries. Use when the user asks to regenerate db-core artifacts, generate beans/DAOs from schemas, scaffold or update converters, or scaffold procedure CRUD methods. Trigger keywords: db-core, Db beans, DAO, converter, procedure.
Knowledge comic creator supporting multiple styles (Logicomix/Ligne Claire, Ohmsha manga guide). Creates original educational comics with detailed panel layouts and sequential image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
Use when building advanced queries with complex filtering conditions in Bknd. Covers all filter operators ($eq, $ne, $gt, $lt, $like, $ilike, $in, $nin, $isnull, $between), logical operators ($or, $and), nested conditions, combining filters, and dynamic query building.
Build MCP servers that expose capabilities over the Nostr network using ContextVM. Use when creating new servers, converting existing MCP servers to ContextVM, configuring server transports, implementing access control, or setting up public server announcements.
Implement CEP-8 payments in ContextVM using the @contextvm/sdk payments middleware. Use when building paid servers/clients, configuring priced capabilities, integrating payment processors/handlers, or troubleshooting payment notification flows.