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Found 5,099 Skills
Plan healthcare privacy, research, and regulatory compliance for a digital health product, including HIPAA, IRB, FDA, GDPR, governance, and operational controls.
Perform advanced search on CNKI with field filters like author, title, journal, date range, source category (SCI/EI/CSSCI/北大核心). Use when user needs precise filtered search beyond simple keywords.
Execute a comprehensive NestJS Project Health Audit. Analyzes tech stack, architecture, API design, data layer, testing, code quality, CI/CD, and documentation. Produces a Google Docs-ready report with section scores and weighted overall score. Use when the user asks to audit a NestJS project, run a health check, evaluate backend quality, or assess technical debt. Triggers on: 'nestjs audit', 'health audit', 'backend audit', 'nestjs health', 'node audit', 'api audit', 'project quality check'.
Diagnose MSBuild build performance bottlenecks using binary log analysis. Only activate in MSBuild/.NET build context. USE FOR: identifying why builds are slow by analyzing binlog performance summaries, detecting ResolveAssemblyReference (RAR) taking >5s, Roslyn analyzers consuming >30% of Csc time, single targets dominating >50% of build time, node utilization below 80%, excessive Copy tasks, NuGet restore running every build. Covers timeline analysis, Target/Task Performance Summary interpretation, and 7 common bottleneck categories. Use after build-perf-baseline has established measurements. DO NOT USE FOR: establishing initial baselines (use build-perf-baseline first), fixing incremental build issues (use incremental-build), parallelism tuning (use build-parallelism), non-MSBuild build systems. INVOKES: dotnet msbuild binlog replay with performancesummary, grep for analysis.
Execute a comprehensive React Project Health Audit. Analyzes tech stack, architecture, state management, testing, code quality, performance, CI/CD, and documentation. Produces a Google Docs-ready report with section scores and weighted overall score. Use when the user asks to audit a React project, run a health check, evaluate frontend quality, or assess technical debt. Triggers on: 'react audit', 'health audit', 'react health', 'frontend audit', 'next.js audit', 'vite audit', 'project quality check'.
Trust Wallet open-source libraries — Wallet Core (HD wallets, address derivation, tx signing in Swift/Kotlin/TypeScript/Go for 140+ chains), Web3 Provider (dApp connection for Ethereum/Solana/Cosmos/Bitcoin/Aptos/TON/Tron), deep linking, browser extension integration, WalletConnect, token assets repository, and Barz ERC-4337 smart wallet. Use when working with trustwallet/wallet-core, @trustwallet/wallet-core, trust-web3-provider, Trust Wallet deep links, token logos/metadata from trustwallet/assets, or Barz account abstraction.
Quicknode blockchain infrastructure for Solana — RPC endpoints, DAS API (Digital Asset Standard) for NFTs and compressed assets, Yellowstone gRPC streaming, Priority Fee API, Streams (real-time data pipelines), Webhooks, Metis Jupiter Swap integration, IPFS storage, Key-Value Store, Admin API, and x402 pay-per-request RPC. Supports 80+ chains including Ethereum, Polygon, Arbitrum, Base, and more. Use when setting up Solana RPC infrastructure, querying NFTs/tokens/compressed assets via DAS API, building real-time gRPC streams, configuring data pipelines, estimating priority fees, or integrating Jupiter swaps via Metis. Triggers on mentions of Quicknode, qn_ methods, DAS API, getAssetsByOwner, searchAssets, Yellowstone, gRPC, Geyser, Streams, IPFS, Key-Value Store, qnLib, Metis, x402, or Quicknode RPC.
Build wallet-connected applications with the Phantom Connect SDK for Solana. Use when integrating Phantom wallets into React, React Native, or vanilla JS/TS apps — including wallet connection, social login (Google/Apple), transaction signing, message signing, token-gated access, crypto payments, and NFT minting. Covers @phantom/react-sdk, @phantom/react-native-sdk, and @phantom/browser-sdk.
Reverse-engineer and clone a website in one shot — extracts assets, CSS, and content section-by-section and proactively dispatches parallel builder agents in worktrees as it goes. Use this whenever the user wants to clone, replicate, rebuild, reverse-engineer, or copy any website. Also triggers on phrases like "make a copy of this site", "rebuild this page", "pixel-perfect clone". Provide the target URL as an argument.
General-purpose web search using DuckDuckGo and AI-synthesized search engines. Use this skill for web searches, current information, fact-checking, news, and research on any topic where live internet data is needed. Supports all languages. Three modes: fast web results, AI-synthesized answers (IAsk.ai, great for deep questions and academic research), and Monica AI synthesis. Trigger on: "search for", "look up", "find information about", "what is the latest", "search the web", "find out about", "what happened with", "current status of", "recent news", "is X still true", "查一下", "搜索", "查资料", "上网查", "検索して", "調べて", any question requiring real-time or post-training web data. Do NOT trigger for: code exploration, local file analysis, codebase-internal questions, or well-established facts fully covered by training knowledge. Note: if the `agent-reach` skill is also available, prefer `ddg-search` for pure web search tasks; prefer `agent-reach` when the task involves social platforms (Twitter, Reddit, YouTube, WeChat, Bilibili, etc.) or platform-specific APIs.
Transition from static LLM chats to autonomous agents that execute multi-step tasks. Use this when you need to automate cross-platform reports (e.g., Snowflake to Google Docs), build self-service tools for non-technical teams, or create "anticipatory" engineering workflows that draft PRs based on Slack discussions.
Design products around price using Madhavan Ramanujam's "Monetizing Innovation" methodology—determine willingness to pay before you build, not after. Use when: **Set pricing for a new product** before or during development; **Validate willingness to pay** before investing in features; **Structure pricing tiers** (Good-Better-Best) for different segments; **Choose the right monetization model** (subscription, usage-based, freemium, etc.); **Diagnose why a product isn't monetizing** as expected