Loading...
Loading...
Found 66 Skills
Build React Native 0.76+ apps with Expo SDK 52. Covers mandatory New Architecture (0.82+), React 19 changes (propTypes/forwardRef removal), new CSS (display: contents, mixBlendMode, outline), Swift iOS template, and DevTools migration. Use when: building Expo apps, migrating to New Architecture, or troubleshooting "Fabric component not found", "propTypes not a function", "TurboModule not registered", or Swift AppDelegate errors.
News Briefing + Verification Workflow. This workflow applies when users request news, headlines, daily briefings, "today's news", "latest updates", breaking news, or specific current figures/events that demand reliable sources and timestamps. Source links and local publication time are mandatory; NEVER fabricate any content.
Commuting Plan/Route Planning (point-to-point or multi-stop routing). For user queries such as 'How to get there/How to commute/Commuting plan/Subway and bus transfer/How long and how much for a taxi/From hotel to scenic spot or venue', etc. Default to real-time verification and provide source links and query time (local time); do not fabricate precise figures; Calendar entry requires explicit user confirmation.
Restaurant recommendations / What to eat / Where to eat / Coffee, bars, desserts, late-night snacks. For users asking questions like "What's good to eat nearby? / Restaurant recommendations / What's the average cost per person? / What time do you close? / Do I need a reservation? / Suitable for families or treating guests?" etc. By default, provide a "query time snapshot" (local time) and source links; do not fabricate restaurant names, addresses, business hours, average cost per person, or ratings; if information is insufficient, first ask 2-3 key questions.
Watch for the 11 known AI-coding-agent failure modes (fabrication, scope_creep, security_vulnerability, etc.) — consult this skill before edits, dependency adds, completion claims, or anything that could trip a known supervision concern. Quote the snake_case failure-mode ids verbatim when flagging risks.
Detects fabricated content, false citations, and unverifiable claims in agent outputs. Uses source verification and consistency checking. Activate on 'detect hallucination', 'fact check', 'verify claims', 'check accuracy', 'find fabrications'. NOT for validation (use dag-output-validator) or confidence scoring (use dag-confidence-scorer).
Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2, Databricks, and all Azure services
Software Mansion's best practices for production React Native and Expo apps on the New Architecture. MUST USE before writing, reviewing, or debugging ANY code in a React Native or Expo project. If the working directory contains a package.json with react-native, expo, or expo-router as a dependency, this skill applies. Trigger on: any code task in a React Native/Expo project, 'React Native', 'Expo', 'New Architecture', 'Reanimated', 'Gesture Handler', 'react-native-svg', 'ExecuTorch', 'react-native-audio-api', 'react-native-enriched', 'Worklet', 'Fabric', 'TurboModule', 'WebGPU', 'react-native-wgpu', 'TypeGPU', 'GPU shader', 'WGSL', 'svg', 'animation', 'gesture', 'audio', 'rich text', 'AI model', 'multithreading', 'chart', 'vector', 'image filter', 'shared value', 'useSharedValue', 'runOnJS', 'scheduleOnRN', 'thread', 'worklet', or any question involving UI, graphics, native modules, or React Native threading and animation behavior. Also use when a more specific sub-skill matches.
Zero-context verification that every bibliographic entry in the paper is real, correctly attributed, and used in a context the cited paper actually supports. Uses a fresh cross-model reviewer with web/DBLP/arXiv lookup to catch hallucinated authors, wrong years, fabricated venues, version mismatches, and wrong-context citations (cite present but the cited paper does not establish the claim). Use when user says "审查引用", "check citations", "citation audit", "verify references", "引用核对", or before submission to ensure bibliography integrity.
Stop your AI from making things up. Use when your AI hallucinates, fabricates facts, isn't grounded in real data, doesn't cite sources, makes unsupported claims, or you need to verify AI responses against source material. Covers citation enforcement, faithfulness verification, grounding via retrieval, and confidence thresholds.
High-speed rail / train lookup workflow (China-focused). Use for timetables, ticket availability, delays, cancellations, or “today/latest” rail updates. Prefer official sources; always include source link + local update time; NEVER fabricate.
Hotel Booking/Hotel Selection/Where to Stay. Applicable to scenarios where users ask you to "book a hotel/select a hotel/recommend hotels/compare prices between official websites and OTAs/confirm cancellation policies and breakfast options/which area is more convenient to stay near a certain landmark", etc. Default priority is given to official websites, followed by price comparison with OTAs; no automatic booking; when citing external facts, try to provide source links and local time of the source; never fabricate information.