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Found 216 Skills
Implements the Syncfusion React PDF Viewer (PdfViewerComponent) for embedding, configuring, and loading PDF documents. Use this when rendering PDFs in a React application, embedding viewer controls, or generating TSX/HTML code for PDF display and interaction.
Generate code using nx generators. INVOKE IMMEDIATELY when user mentions scaffolding, setup, structure, creating apps/libs, or setting up project structure. Trigger words - scaffold, setup, create a ... app, create a ... lib, project structure, generate, add a new project. ALWAYS use this BEFORE calling nx_docs or exploring - this skill handles discovery internally.
Generates .NET Clean Architecture backend structure from entity definitions
Expert in streamlining and enhancing the development of AI Agent Applications, including AI app / agent / workflow code generation, AI model comparison and recommendation, tracing setup, and evaluation planning / setup / execution.
Google Gemini CLI orchestration for AI-assisted development. Capabilities: second opinion/cross-validation, real-time web search (Google Search), codebase architecture analysis, parallel code generation, code review from different perspective. Actions: query, search, analyze, generate, review with Gemini. Keywords: Gemini CLI, second opinion, cross-validation, Google Search, web research, current information, parallel AI, code review, architecture analysis, gemini prompt, AI comparison, real-time search, alternative perspective, code generation. Use when: needing second AI opinion, searching current web information, analyzing codebase architecture, generating code in parallel, getting alternative code review, researching current events/docs.
Extract tables, form fields, and document layout from PDFs or images (scanned PDFs, PNG/JPG) using Syncfusion Smart Data Extractor. Trigger when users ask to parse/extract/convert document data (invoices, receipts, KYC/forms) into structured output and want C#/.NET integration code using the extractor.
Use this skill when a content-complete website has missing/placeholder images and needs visual assets — scenario illustrations, tool screenshots, instructor cards, conceptual diagrams, classroom location maps, QR codes. Triggers on phrases like "插圖", "工具截圖", "QR", "講師卡", "地圖", "示意圖", "Playwright 爬蟲", "AI 生圖", "visual assets", "screenshots", "illustrations", "QR codes", "instructor cards". This skill covers the four asset sources (scraping, AI generation, hand-drawn SVG, generated codes), the PNG-first + SVG-fallback render pattern, and verification scripts. Usually invoked AFTER interactions are wired (so missing images are visible), but can be invoked earlier if assets are pre-planned.
Implement integration-ready UI code from a Figma selection or a provided nodeId using TemPad Dev MCP as the only source of design evidence (code snapshot, structure, screenshot, assets, tokens, codegen config). Detect the target repo stack and conventions first, then translate TemPad Dev’s Tailwind-like JSX/Vue IR into project-native code without adding new dependencies. Never guess key styles or measurements; avoid screenshot tuning loops. If required evidence is missing/contradictory or assets cannot be handled under repo policy, stop or ship a safe base with explicit warnings and omissions.
Expert knowledge in Flutter Riverpod state management (2025 best practices). Use when working with Riverpod, Flutter state management, AsyncNotifier, provider types, code generation with riverpod_generator, state synchronization, or when the user mentions data fetching, mutations, reactive state, performance optimization, or testing in Flutter apps. Covers AsyncNotifierProvider patterns, repository architecture, autoDispose, family providers, and common anti-patterns to avoid.
Generate secure code following OWASP Secure Coding rules. Automatically detects the security domain and produces code with inline Rule ID citations (e.g., [INPUT-04], [AUTH-07]) plus a rules-applied summary.
Working with sqlc and database queries
Engineering operating model for teams where AI agents generate a large share of implementation output.